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Computational Photonics Engineer, LumiAIres Ltd

Glasgow, Scotland, United Kingdom

THE OPPORTUNITY

You will build and own the modelling-and-learning capability at the heart of LumiAIres: the simulation, encoding–decoding, and machine-learning layer that makes light compute. This is a durable company function: the digital twins, encoding schemes, and readout models you build become reusable assets across every product generation and customer programme. Your immediate focus is our current flagship programme, LUMINA, which leads the high-fidelity digital twin and encoding–decoding scheme, turning the twin into the customer-facing pre-evaluation environment that lets integrators assess our technology before silicon is in hand.

Our photonic core behaves as a physical computing medium. Your job is to model how light computes inside it and to train the models that read the answer out. You will work closely with the Integrated Photonics Lead on physical validity, with our academic partners on encoding–decoding, with the Applied Photonics Engineer on validating predictions against measured silicon, and with the Full-Stack Software Engineer on productising the twin.

You are the bridge between physics and learning, modelling how light computes inside our photonic core, and training the models that read the answer out. As we scale, this role can grow into ownership of LumiAIres' modelling and machine-learning function and the team behind it.

CONTRACT & PROGRESSION

CONTRACT TYPE: 18-Month Fixed Term Contract

LOCATION: Glasgow, Scotland (Hybrid)

SALARY: TBC per annum

REPORTS TO: CTO (currently the CEO)

POTENTIAL FOR PERMANENT ROLE: Yes — Glasgow or Paris (determined within the first 12 months)

START DATE: To be agreed

This role is offered initially as an 18-month Fixed Term Contract based in Glasgow. Given the portable nature of the modelling work, the permanent position offers location flexibility as the company scales.

WHY LUMIAIRES

Work at the frontier of photonic AI, technology with the potential to reshape how the world processes information.

A founding team with deep expertise in photonics, neuromorphic computing, and commercial strategy.

Exposure to global investors, strategic partners, and government stakeholders from day one.

A genuinely values-led company building for the long term.

Flexible, trust-based culture with real ownership and impact.

HOW TO APPLY

To express interest in this role, please send a CV and a short covering note describing your background in optical or photonic simulation and machine learning, any modelling or digital-twin work you have delivered, and what draws you to photonic computing. Applications and initial conversations are treated in strict confidence.

KEY RESPONSIBILITIES

The role is structured around four core pillars:

Photonic & Optical Simulation

Model the photonic core and full signal chain using established optical-simulation and numerical wave-propagation methods.

Build, maintain, and validate the high-fidelity digital twin of the photonic processor. Quantify how design and fabrication choices affect computational behaviour, feeding insight back to the photonic design team.

Encoding, Decoding & Core Behaviour

Design and optimise input encoding and output decoding schemes for the photonic platform. Characterise how the photonic core behaves as a physical computing medium. Co-own encoding–decoding optimisation with our academic partners.

Machine Learning & Readout

Develop the readout models and associated training pipelines.

Build the learning loop that improves inference over time and feeds our software tools. Optimise the mapping of machine learning inference onto the photonic hardware.

Customer-Ready Twins & Validation

Harden the digital twin into a pre-evaluation environment that integrators can run, with the Full-Stack Software Engineer and the Strategic Partners Lead.

Validate twin predictions against measured silicon in partnership with the Applied Photonics Engineer.

WHAT WE ARE LOOKING FOR

A strong computational scientist or engineer with an advanced degree (MSc or PhD) in applied mathematics, computational or theoretical physics, electrical engineering, computer science, or a related quantitative field.
Strong optical and photonic simulation skills, including transfer-matrix and numerical wave-propagation methods (or equivalent).
A grounding in practical machine learning — model training, evaluation, and pipeline development (Python; NumPy / SciPy and PyTorch / JAX or similar).
Strong scientific software practice and the ability to turn physics into validated, maintainable code.
Familiarity with photonic neural networks, optical, or neuromorphic computing is a strong advantage.
Experience with digital-twin or hardware-in-the-loop modelling, active-learning methods, or working alongside experimental and academic teams is welcome.
Comfort in an early-stage, fast-moving environment where structure is built, not inherited.

Senior Python Developer, Turing

Remote, Remote, Remote

Role Overview:

This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models.

One way we help these companies improve their models is by providing them with high-quality proprietary data. This data serves two main purposes: first, as a basis for fine-tuning their models, and second, as an evaluation set to benchmark the performance of their models or competitor models.

For example, for SFT data generation, you might have to put together or be provided a prompt which contains provided code and questions, you will then provide the model responses, and write corresponding Python code to solve the questions.

For RLHF data generation, you may need to create a prompt yourself or use one provided by the customer, ask the model questions, and evaluate the outputs generated by two versions of the LLM. You'll compare these outputs and provide feedback, which is then used to fine-tune the models. Please note that this role does not involve building or fine-tuning LLMs.

What does day-to-day look like:

Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models.
Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement.
Familiarity with Python frameworks and libraries
Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.
Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.
Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets.
Collaborate with researchers and annotators to execute Reinforcement Learning with Human * Feedback (RLHF) and refine reward models.
Design innovative evaluation strategies and processes to improve the model's alignment with user needs and ethical guidelines.
Create and refine optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy.
Conduct thorough peer reviews of code and documentation, providing constructive feedback and identifying areas for improvement.
Collaborate with cross-functional teams to improve model performance and contribute to product enhancements.
Continuously explore and integrate new tools, techniques, and methodologies to enhance AI training processes.

Requirements:

3+ years of strong experience with Python programming language.
Industry experience and knowledge of code quality, formatting, and best practices of software development
Experience with Python’s testing ecosystem, including unit, integration, and property-based testing.
Knowledge of multi-threading and asynchronous programming in Python.
Ability to work with architectural patterns and refactor code without introducing regressions.
Strong debugging skills, including fixing memory and concurrency issues.
Fluent in conversational and written English communication skills

Python Machine Learning Engineer, Turing

Remote, Remote, Remote

Role Overview:

We’re looking for a ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate is not just a strong individual contributor but also a technical leader capable of setting direction, mentoring team members, and ensuring that ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus. What does day-to-day look like:

Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring.
Translate business objectives into robust ML architectures that accurately capture business logic and context.
Collaborate cross-functionally with Product, Engineering, and Business stakeholders to define problem statements and success metrics.
Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.
Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomes

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related quantitative field.
4+ years of hands-on DS/ML development experience,
Proficiency in key DS/ML areas and frameworks:Supervised and Unsupervised Learning Time-Series Forecasting Natural Language Processing (NLP) Computer Vision (CV) Statistical Modeling and Inference
Expertise in Python and core libraries (Pandas, NumPy, Scikit-learn, etc.).
Ability to understand and apply different models to real-world use cases
Strong understanding of data preprocessing, feature engineering, model tuning, and evaluation metrics.
Proven ability to design scalable, production-grade ML systems.

Preferred Qualifications:

Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers).
Experience with cloud data platforms (Databricks, AWS, etc.)
Hands-on experience with PySpark and Databricks Platform
Stay up-to-date with the latest advancements in machine learning and artificial intelligence.

Bonus:

Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench
Experimenting with new technologies and frameworks based on Research papers published in top conferences and journals
Perks of Freelancing With Turing:

Work in a fully remote environment.

Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)

Employment type : Contractor assignment (no medical/paid leave)

Duration of contract : 3 month; [expected start date is next week]

Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico

Evaluation Process (approximately 75 mins) :

Two rounds of interviews as follows:Interview 1: Technical, 60 mins Interview 2: Onboarding & cultural discussion, 15 mins

Python Developer, Micro1

Remote, Remote, Anywhere

Job Description Job Title: Python Developer

Job Type: Contract

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

Design, develop, and optimize REST and GraphQL endpoints for scalable APIs.
Drive data validation, error handling, and security best practices within backend services.
Plan and execute database migrations, optimizations, and schema changes as needed.
Actively test new AI-powered models in Cursor, providing actionable feedback via incident reports, bug traces, and screenshots.
Participate in 4-day intensive testing bursts, exploring how AI models impact real coding workflows.
Engage thoughtfully with the research team in a dedicated Slack channel to discuss findings and propose improvements.
Submit detailed post-burst surveys, delivering insights on model performance and developer experience.

Required Skills and Qualifications:

3+ years of professional experience as a backend developer, with strong expertise in Python.
Proficient in building and maintaining RESTful and GraphQL APIs.
Advanced understanding of backend data validation, error handling, and API security.
Hands-on experience with database migrations, performance tuning, and schema design.
Extensive use of AI tools for coding; familiarity with Cursor is highly desirable.
Outstanding written and verbal communication skills, with a knack for clear incident and bug reporting.
Proven ability to thrive in fast-paced, confidential, and collaborative remote environments.

Preferred Qualifications:

Visible contributions to open source (e.g., GitHub stars or contributions).
Experience designing or evaluating experimental tooling and developer workflows.
Demonstrated enthusiasm for AI advancements in software development.

Junior Python Developer - AI & Innovation Team, Adzuna

Remote, Remote

Contract hours: Full time

Location: Remote (within 2 hours of London timezone)

Salary: €25k - €30k depending on experience

About Adzuna

Adzuna is a job search engine that lists every job, everywhere. From our launch in the UK in 2011, we now have tens of millions of visitors a month and are busy conquering the world from our HQ in West London alongside our remote teams - helping millions of people find better, more fulfilling jobs. We already have a suite of AI-powered tools (such as ValueMyCV, Prepper and ApplyIQ) built by our talented team and their passion for building new AI-powered tech for job seekers. We're a commercially minded team that moves fast, takes ownership and loves what we do.

About the Role

This is a fantastic opportunity for a talented Junior Python Developer to join our fast moving AI & Innovation Team. You will play a vital role in building and maintaining our full stack - scaling robust backend services, while developing the user facing web components that power our cutting edge AI products and jobseeking tools. You’ll be working in a tight knit, cross-functional team alongside Product Managers, Data Scientists and Senior Engineers. This is a high growth role where you will learn how to transition machine learning prototypes into robust, production ready applications for millions of users, while simultaneously honing your coding, frontend and architecture skills.

What You'll Do

Fullstack Development: Write clean, testable, and efficient Python code to support our core AI products and automated search and apply tools.
Model Integration: Collaborate closely with our Data Scientists to integrate machine learning models, LLM pipelines and agentic frameworks into our live production stack.
API & Data Pipelines: Build and maintain scalable APIs and data workflows to handle large volumes of job vacancy data.
Infrastructure & DevOps: Help manage and optimise our AWS infrastructure, ensuring high availability and smooth deployment processes.
Testing & Quality: Write robust unit and integration tests to ensure system reliability and mitigate deployment risks.

Tech Stack Includes

Languages & Frameworks: Python, Spark, LLMs & LLM coding tools
Frontend: React, HTML, CSS (Tailwind)
AWS Ecosystem: EC2, S3, Lambda, Step Functions, RDS, Athena, Kinesis
Databases & Search: PostgreSQL, MySQL, SOLR

While we look out for all of these skills, we do not expect experience in all of them. We value a strong foundation in core programming principles and a genuine eagerness to learn.

Experience: 1–2 years of commercial software development experience using Python
Location: Fully remote (must be located within a 2-hour timezone of London and able to work standard UK business hours).
Right to Work: This is a long-term role structured via a contractor agreement for international remote compliance. Candidates must have the legal right to work remotely as an independent contractor in their country of residence. We are unable to provide visa sponsorship for this position now or in the future.
Communication: Professional proficiency in English (both written and verbal) to collaborate effectively with a global team.
Education: A technical degree (2:1 or equivalent) in Computer Science, Software Engineering, or a highly relevant field.
Core Coding Skills: Solid understanding of Python fundamentals and object-oriented programming.
Execution: Record of writing clean, maintainable Python code into live, user-facing environments.
Databases: Good working knowledge of SQL and relational databases.
Cloud & Tools: Familiarity with AWS services and Git version control.
Mindset: A curious, proactive fast learner who loves solving technical puzzles and is excited by the AI/ML space.

Nice to have

Frontend Coding Skills: Familiarity with HTML, CSS (Tailwind) and React to assist in building fullstack user interfaces.
AI Applications: Experience with coding LLMs into production applications, and effectively utilising LLM coding tools in your daily workflow.
Browser Automation: Understanding of web scraping techniques, DOM parsing, and bypassing common bot-detection. Experience with browser automation and testing tools (e.g. Playwright, Selenium).
Portfolio: An active GitHub profile showcasing examples of your work, or personal projects.

Data Acquisition & Infrastructure Engineer, Iconic Art AI

Montreal, QC, Canada

Role Overview

As Data Acquisition & Infrastructure Engineer, you will be the foundation of MAI's data capabilities. Your primary focus will be the development and operation of automated data collection pipelines that aggregate publicly available information from across the art market ecosystem. You will also own the design and maintenance of the underlying database infrastructure — built on PostgreSQL and AWS — that stores and serves this data.

This is a high-ownership role. The infrastructure is partially built; you will take it to production scale. You will work closely with AI engineers, a computer vision engineer, a product manager, full-stack developers, and the Head of Art Research, reporting directly to the Head of AI Engineering.

Key Responsibilities

DATA PIPELINE & COLLECTION

Architect and maintain automated pipelines that collect, normalize, and ingest publicly available art market data from web-based sources
Build reliable, maintainable collection systems using Python (Scrapy, BeautifulSoup, Playwright, or equivalent), with a strong emphasis on resilience, scheduling, and data freshness
Manage pipeline orchestration and scheduling using tools such as Apache Airflow, AWS EventBridge, or cron
Navigate the practical challenges of large-scale public data collection, including access patterns, rate constraints, and source reliability
Handle messy, inconsistent real-world datasets — clean, transform, and standardize data for downstream consumption

DATABASE ENGINEERING

Design, build, and maintain relational database schemas in PostgreSQL (hosted on Amazon RDS) to support complex, multi-entity art market data — artists, works, transactions, provenance, and valuation history
Develop and optimize queries, indexes, and data models to ensure performance at scale
Establish and enforce data quality standards, validation rules, and integrity constraints across the database
Collaborate with AI engineers and the computer vision team to ensure the data layer supports model training and inference requirements

INFRASTRUCTURE & OPERATIONS

Deploy and manage pipeline workloads on AWS (Lambda, EC2, S3, RDS)
Monitor pipeline health, data freshness, and system reliability — proactively address failures
Contribute to infrastructure-as-code practices as the team scales

Core Requirements

3–5 years of professional experience in data engineering or a closely related discipline
Proven experience building and maintaining automated data collection pipelines from web-based public sources using Python (Scrapy, BeautifulSoup, Playwright, or Selenium)
Strong data cleaning and normalization skills, with demonstrated ability to handle heterogeneous, inconsistent real-world datasets
Solid PostgreSQL experience: schema design, query optimization, and database maintenance
Hands-on AWS experience: Lambda, EC2, S3, RDS
Experience scheduling and orchestrating data pipelines (Apache Airflow, AWS EventBridge, or equivalent)
Experience navigating the constraints of large-scale public data collection, including reliability, access patterns, and data freshness challenges

Nice to Have

Knowledge of data quality frameworks and validation pipeline design
Experience with containerization (Docker) and infrastructure-as-code (Terraform, AWS CDK)
Familiarity with ETL/ELT tooling (dbt, AWS Glue, or equivalent)
Exposure to art market platforms (Christie's, Sotheby's, Artsy, Artnet) or understanding of how auction and gallery data is structured
Background or genuine interest in the art world, collectibles, or alternative asset markets
Experience in a startup or early-stage environment where ownership and adaptability are essential

Senior Data Engineer (100% Remote - USA Only), Six Feet Up

100% Remote, USA

Six Feet Up is seeking a Senior Data Engineer with deep experience designing, building, and maintaining secure, scalable data systems.

In this role, you will work with cross-functional teams to turn complex data challenges into reliable production solutions. You will design data pipelines, build processing workflows, improve data quality, support machine learning initiatives, and help clients make better use of structured, unstructured, time-series, sensor-based, and high-volume data.

We are looking for someone who can bring technical leadership, sound engineering judgment, and strong communication skills to ambiguous data problems. The ideal candidate is comfortable working across data engineering, cloud infrastructure, machine learning support, and production software delivery.

As a Senior Data Engineer, you will:

Design, build, and maintain robust, scalable data pipelines
Develop ETL/ELT workflows for collecting, transforming, validating, and storing data
Work with cloud-based data processing and storage systems
Implement data validation, quality checks, monitoring, and transformation workflows
Process complex datasets, including noisy, high-volume, time-series, sensor, or device-generated data
Support machine learning workflows, including data preparation, model training, evaluation, and production integration
Collaborate with data scientists, researchers, software engineers, and client stakeholders
Translate prototype data workflows into reliable, maintainable production systems
Create systems that are well-documented, testable, secure, and ready for audit or review
Communicate technical tradeoffs clearly to both technical and non-technical audiences

If you are a motivated Senior Data Engineer seeking a challenging and meaningful role, we encourage you to apply.

We are looking for someone with strong hands-on experience in:

Data pipeline architecture and implementation
ETL/ELT orchestration tools such as Airflow, Dagster, or similar platforms
Python-based data engineering and data processing tools
Cloud-based data infrastructure, storage, and processing
Data modeling, schema design, validation, and quality-control practices
Working with public, proprietary, structured, and unstructured datasets
Time-series, sensor, IoT, or other high-volume data sources
Supporting machine learning or data science teams with reliable data workflows
Building reproducible, testable, and maintainable data systems
Version control, automated testing, and collaborative software development practices

Strong candidates may also have experience with:

Machine learning pipelines for classification, prediction, recommendation, or categorization systems
MLOps, model evaluation, experiment tracking, and reproducible ML workflows
Processing noisy signal data or other data that requires cleaning, filtering, or feature extraction
Healthcare, digital health, research, or regulated software environments
HIPAA, privacy-preserving data architecture, or secure cloud data processing
Working with sensitive, clinical, or user-generated data
Helping researchers or domain experts scale early-stage algorithms into production-ready systems
Designing systems that support thousands or more users

A Plus:

Experience with containers, CI/CD, DevOps practices, or Kubernetes
Familiarity with AWS, Google Cloud, Azure, or similar cloud platforms
Experience with consumer analytics, dashboards, or data visualization products
Experience supporting FDA, SaMD, clinical validation, audit, or regulatory documentation efforts
Experience designing secure data workflows for privacy-sensitive applications

About You

You are a senior engineer who brings structure to ambiguous technical challenges. You ask thoughtful questions, identify risks early, and know how to balance research needs, business goals, engineering quality, and long-term maintainability.

You care about data quality, privacy, testing, documentation, and clear communication. You are comfortable designing architecture, writing production code, reviewing data workflows, and collaborating with people from different technical backgrounds.

You enjoy helping clients move from ideas and prototypes to secure, scalable, production-ready systems.

Agentic AI Scientist, AstraZeneca

Durham, North Carolina, USA

We are looking for Agentic AI Scientists eager to utilize their expertise in these advanced technologies to revolutionize our drug development processes. In the Pharmaceutical Technology and Development (PT&D) department, you will be a key player in transforming molecules into groundbreaking medical treatments.

Your role involves contributing data science expertise into cross functional global pharmaceutical development projects in support of transforming the way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems.

We are hiring two candidates for this position and the roles will be based at our dynamic site in Durham (USA).

Essential skills/Experience:

PhD in computer science, data science, artificial intelligence, machine learning or related fields.
At least 3 years of experience in Deep Learning and ML
Excellent coding skills in languages such as Python, R.
Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning.
Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch,
Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI
Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines.
Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI.

Desirable skills/experience:

Contributions to open-source projects. If you meet these criteria, please highlight merged GitHub PRs in your application.
Strong publication record in the field of AI.
Experience designing multi-agent systems in the pharmaceutical sector.
Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry.
Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI.

Python / DevOps Engineer for Private Voice-AI Setup, JB Martyn

Illinois, Chicago, United States

We are looking for an experienced Python / DevOps engineer to complete a one-time private setup of a Chatterbox-based voice-cloning system. The role includes deploying the model in a secure private environment, building a simple internal web interface for non-technical users, and ensuring that all voice samples and generated audio remain inside our own infrastructure. This should be a straightforward project for someone experienced with Python, server deployment, and basic web application setup.

Job requirements

Strong experience with Python and Python environments.
Experience deploying AI or machine-learning models on servers.
Basic web development skills to build a small internal web page or API.
Understanding of security and access control for internal tools.
Ability to work independently on a one-time setup project.
Clear communication and ability to provide simple handover documentation.
Experience with DevOps, server deployment, or internal tools is a plus.

Python Engineer – (DevOps/Internal Tools) FULLLY REMOTE, ActivePrime, Inc.

REMOTE, REMOTE

As a software engineer, you'll join a team tackling complex challenges in automating, streamlining, and scaling engineering and support workflows through the development of critical APIs and applications. This role requires actual engineering thinking to build robust internal systems. Ready to tackle complex engineering challenges that directly impact how our engineering and support teams work?

Who we are NOT looking for:

Agencies
People who are looking for a side “hustle” or are starting their own business

To apply:

please fill out this form: https://forms.clickup.com/2257368/f/24wer-176357/RX6L92YGBHLB386KYI

Additionally, please start your cover letter with:

“I AM A PYTHON ENGINEER FOCUSED ON DEVOPS AND INTERNAL TOOLS” (in ALL CAPS)

Required Skills:

Core Engineering

Strong Python experience
Test-driven development (TDD) and pytest proficiency
Familiarity with, and adherence to, PEP guidelines and Python coding standards
Thoughtful development centered around performance, deeply optimized code, and proper code organization
Bug identification and resolution with local testing

Infrastructure & DevOps

Experienced with Linux at the terminal level
RESTful/CRUD API development and design best practices
Designing and implementing resilient, internal-facing APIs and infrastructure tools
Security practices and vulnerability prevention
Git version control with branching strategies

Databases

PostgreSQL experience: schema design, optimization, advanced queries

Professional Requirements

English fluency (written/verbal)
Previous experience working for a US-based company

Senior Python AI/ML Engineer| Hybrid| Full-time, P.R.GLOlinks Consulting Private Limited

Bangalore, Pune, India

We are seeking a highly skilled and innovative Python / AI Engineer to join our team and help us build the next generation of AI-powered enterprise systems. We are actively investing in LLMs, agentic workflows, and applied AI systems, but much of this potential is still untapped. Today, our AI initiatives are fragmented—PoCs exist in silos, LLM integrations are early-stage, and there is no unified intelligence layer across the application landscape. We’re looking for someone who can change that.

You will sit at the intersection of engineering, R&D, and business teams, turning AI experimentation into production-grade systems that deliver measurable impact. This is not a “model training-only” role—you will be expected to design, build, and ship end-to-end AI solutions.

The Role You will be the first deep technical owner responsible for turning our AI ambition into real, working systems that drive business outcomes.

Build and productionize AI systems — Design and implement LLM-powered applications, AI agents, and intelligent automation workflows that integrate directly into our core product ecosystem.

Develop PoCs and scale them into production — Rapidly prototype AI/ML solutions, validate feasibility with stakeholders, and evolve them into scalable, reliable services.

Integrate LLMs into real business workflows — Work with APIs, orchestration frameworks, and model providers to embed LLM capabilities across applications (chat, reasoning, summarization, retrieval, and automation use cases).

Design intelligent systems, not just models — Focus on end-to-end architecture: data flow, prompt orchestration, memory, evaluation, guardrails, and feedback loops.

Bridge R&D and engineering — Translate research ideas and business problems into working AI systems that can be deployed, monitored, and improved iteratively.

Drive AI adoption across the organization — Collaborate closely with product, engineering, and business stakeholders to identify high-impact opportunities where AI can meaningfully improve efficiency or decision-making.

Skills required:

1.Minimum 8+ years of experience in AI/ML development.

2.Advanced proficiency in Python.

3.Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch).

4.Expertise in at least one LLM (e.g., GPT, Claude, LLaMA).

5.Solid foundation in Data Science and statistical modeling.

6.Experience with Agentic Workflows using LangChain-based agents.

7.Hands-on experience with LangGraph (e.g., hackathons or MCPs).

8.Deep understanding of fine-tuning techniques for LLMs.

9.Hands-on experience with Transformer architecture and its evolution from earlier models.

Responsibilities:

1.Design and develop PoCs and present them to business stakeholders.

2.Build and deploy innovative AI solutions using state-of-the-art models.

3.Integrate LLMs into existing and new applications.

4.Develop new functionalities within R&D applications.

5.Promote and implement best process practices across AI development workflows.

Founding ML/Data Scientist (Remote, UK), MyDataValue

Remote - London UK, United Kingdom

We're an AI-driven hospitality tech platform helping vacation rental owners automate their revenue on Booking.com and Airbnb.

We sit on Booking.com private API data, Airbnb channel data, and scraped competitive pricing across thousands of properties — and right now we barely use it. Our agent is rules-based where it should be data-driven, and our promotions engine has no model behind it. We're looking for a founding ML/Data Scientist to change that. You'll turn dormant data into a smarter agent and a compounding moat.

The Role

You'll be the first person to seriously dig into our data, find the signals that drive revenue, and work with engineering to make the agent act on them.

Find what matters — dig through Booking.com, Airbnb, and competitive data to separate signal from noise.
Separate cause from correlation — when a promotion drives a booking, was it causal? When occupancy drops, is it pricing, seasonality, or competition? We want rigorous answers, not guesses.
Turn insights into revenue — translate findings into logic the agent can use, measurably better than a human's.
Shape the data strategy — decide what to track, what to enrich, and where the highest-value opportunities are.
Ship to production — this isn't a notebooks role. You'll work inside our Django + ClickHouse stack alongside the engineering team.

Logistics Remote-first for UK-based candidates. Expect to be in London for WeWork sessions a few days a month, flexibly, for onboarding, planning, and product work.

Interview Process 1. 30-min non-technical call with the CTO

Take-home data challenge using a sample of real OTA data
1-hour deep dive on your submission with the founding team
In-person meeting with both founders
Offer

Why This Role

Unique data — Booking.com private API data, Airbnb channel data, and scraped competitive pricing. This dataset doesn't exist at most companies.
Real impact — your models drive revenue decisions for thousands of properties.
High equity for our stage.
A compounding moat — every property we add makes the data richer and the models better.

Salary £70k–£100k · Equity 0.5%–1%.

Who You Are

A real data scientist who reaches for statistics and experiments first, and knows when a result is significant versus noise. Strong with time series.
Causal by instinct — you don't confuse correlation with causation. You can design holdouts and A/B tests, and reason about confounders when a clean experiment isn't possible.
Comfortable in the mess — real OTA data is dirty, sparse, and seasonal. You wrangle it, find the signal, and build features that predict revenue.
Fluent in modelling — forecasting, uplift and causal models, and the judgement to pick the simplest thing that works.
Ships to production — not a notebooks role. You write clean, deployable Python (pandas, NumPy, scikit-learn) and get your models live in our Django and ClickHouse stack.
A product thinker who cares about revenue impact, not what's technically interesting.
AI-first — you use AI coding tools with multiple agents to ship faster, ideally pushing into self-learning ML or agentic workflows. If you don't already use frontier AI tools, this isn't the role for you.

Skills: Python · pandas · NumPy · scikit-learn · Time Series · Causal Inference · Forecasting · Experimentation · PostgreSQL · ClickHouse · Django · AI agents

Tech Lead (Python) | Remote – LATAM | Full-time, Crehana

LATAM, LATAM, LATAM

Crehana is a B2B SaaS platform powered by AI that delivers integrated talent management solutions to clients across Latin America — skills, learning, performance, and career development in one place. Our mission: make people development universal.

We're looking for a hands-on Tech Lead. Someone who leads by example: you set the technical direction, mentor your team, and when the moment calls for it, you roll up your sleeves and write code.

What you'll own:

Architecture and technical decisions for scalable backend services
Code quality standards, code reviews, and CI/CD practices
Mentorship and growth of your engineering team
Collaboration with Product and DevOps to ship impactful features
Stability, security, and evolution of our platform

Tech stack:

Python + FastAPI (required)
Docker / Kubernetes / microservices
AWS, GCP, or Azure
PostgreSQL, MySQL, MongoDB
REST APIs / GraphQL (nice to have)
Terraform (nice to have)

Apply: https://www.crehana.com/p/crehana/jobs/2ca97417-9f01-48a6-a426-7950565e7672/

We're looking for a hands-on leader who still writes code when it matters. This could be someone who has already led engineering teams working with Python and modern backend stacks — or an experienced engineer with deep technical expertise who is ready to step into a leadership role for the first time.

Must-have

Experience leading engineering teams (junior and mid-level), or a seasoned engineer ready to take that next step
Strong Python proficiency with FastAPI
Hands-on experience with microservices, Docker, and Kubernetes
CI/CD pipelines and automated testing practices
SQL and NoSQL databases: PostgreSQL, MySQL, MongoDB
Cloud platforms: AWS, GCP, or Azure
Security awareness and compliance standards
Strong communication, collaboration, and problem-solving skills
Comfortable with agile methodologies (Scrum, Kanban)

Nice to have

RESTful API design and/or GraphQL
Terraform for infrastructure as code

Principal Modeler – Model Development, Metropolitan Transportation Commission (MTC)

San Francisco, CA, United States

Metropolitan Transportation Commission (MTC) San Francisco, CA

Principal Modeler – Model Development

$152,501.86 - $193,409.22 Annually

DEADLINE TO APPLY IS SUNDAY, JUNE 14, 2026, AT 11:55 PM

The Metropolitan Transportation Commission (MTC) is the transportation planning, financing, and coordinating agency for the nine-county San Francisco Bay Area. MTC is the federally designated Metropolitan Planning Organization (MPO) and the state designated Regional Transportation Planning Agency (RTPA) for the nine-county San Francisco Bay Area. MTC provides services to the Association of Bay Area Governments (ABAG). For more information about MTC, visit www.mtc.ca.gov.

EQUAL OPPORTUNITY EMPLOYER

The Metropolitan Transportation Commission is an equal-opportunity, non-discriminatory employer. MTC provides all employees and applicants with an equal opportunity in every aspect of the employment experience regardless of race, color, religion, sex, sexual orientation, gender identity, age, national origin, physical handicap, medical condition or marital status.

DEADLINE TO APPLY IS SUNDAY, JUNE 14, 2026, AT 11:55 PM

IF YOU ARE INTERESTED, PLEASE APPLY IMMEDIATELY

A resume is highly encouraged with your application.

Be ready to rethink your assumptions about the public sector. Dedicated and motivated colleagues? Beautiful, high amenity building for on-site work and collaboration? Flexible schedules and hybrid work options? Yes, yes, and yes!

ABOUT THE SECTION

The Regional Planning Program section at MTCABAG is a multidisciplinary team that applies data-driven planning to improve the trajectory of the San Francisco Bay Area. One of our core deliverables is Plan Bay Area, which we update every four years. This long-range plan lays out a set of strategies for how to achieve a region that is affordable, connected, diverse, healthy and vibrant for all. In developing the plan, our team takes on some of the most difficult and important challenges facing the region: how to make living in the region affordable for existing and future residents, how to create a safe and effective transportation system, and how to reduce greenhouse gas emissions. The section consists of four teams: Major Plans, Transportation Planning, Housing and Local Planning, and Forecasting/Modeling and Surveys.

This principal position is within the Forecasting/Modeling and Surveys (FMS) team, which conducts data analysis and develops and applies modeling tools to analyze the impacts of potential strategies for Plan Bay Area. Our team strives to create quality modeling tools that embody our sections goals for planning excellence; we emphasize transparency by creating open-source models, and we value collaboration with other agencies and partners in developing shared resources. The FMS team focuses on the application of economic models, urban development models, and travel models, including developing new features for some of these models as new analysis needs arise. FMS also conducts regular travel diary surveys and transit passenger surveys to inform these tools and other research questions of interest to the agency.

ABOUT THE ROLE

The Principal Modeler in Model Development will lead development of our travel modeling tools to assess our region’s future and to evaluate potential strategies and policies to improve quality of life. In this role, the Principal Modeler will manage a consulting team working in travel model development, developing both major and minor features as needed for the travel model and associated tools. This will involve project management as well as hands-on development work. The Principal Modeler will also be involved in developing other modeling and modeling-related tools relevant to long-range planning, including land use forecasting models, population synthesis tools, and others. This role will also involve working with internal and external stakeholders to prioritize feature development and bug fixes for these tools. Finally, this role will include mentoring staff in technical development, representing MTC before a variety of groups, agencies, organizations, elected officials, and the public, requiring the ability to communicate effectively about technical topics with non-technical stakeholders; and performing other job related duties as required.

Responsibilities

The development and release of future versions of MTC’s modeling tools, including: • Implementing or updating features • Managing a consultant team in model development and network development tools. This includes reviewing pull requests and deliverables; project and budget management; discussing and resolving budget issues with appropriate staff and responsible agencies; negotiating, preparing and administering contracts, proposals, task orders and agreements. • Model calibration, validation and documentation • Presenting Model Development progress and features to stakeholders within the agency and with agency partners.

Qualifications

KNOWLEDGE, SKILLS, & ABILITIES

Required

Deep knowledge of activity-based travel modeling and network modeling
Software development skills in python to implement modeling functionality, as well as to collect, clean, code and analyze data
Interpersonal skills and an ability to work in a project and team environment

Desired

Experience synthesizing technical information to facilitate good policy and planning decisions
Data visualization experience
Knowledge of the complexity of the transportation system and land use/transportation issues facing the San Francisco Bay Area

MINIMUM QUALIFICATIONS

Any combination of training and experience that would provide the required knowledge, skills, and abilities listed. A typical way to obtain the required qualifications would be:

Education and Experience: Equivalent to a bachelor’s degree from an accredited college or university with major coursework in planning, civil engineering, environmental science, communications, business or public administration, or a related field and seven (7) years of increasingly responsible professional experience in a field related to assigned area of responsibility

PREFERRED QUALIFICATIONS

Education: A Bachelor's degree in an appropriate field related to the area of assignment, such as transportation planning, city and regional planning; transportation engineering or modeling, financial management, economics, business or public administration. A Master's degree is desirable.

Applicants with a degree issued from an institution outside the United States must have their transcripts evaluated by an academic accrediting service and provide proof of equivalency along with their application.

Senior Python & SAS Developer (Data Modernization), Illumen Group Inc.

Suitland, MD, United States

LightFront is seeking a Senior Python & SAS Developer (Data Modernization) to support a long-term Census contract. This role will focus on modernizing legacy federal statistical and survey processing workflows by translating existing logic into scalable Python-based solutions using tools such as pandas, PySpark, and modern data architecture patterns.

This is a backend/data modernization role, not a traditional web application role. The developer will support legacy system analysis, backend data processing, database logic optimization, ETL and batch workflows, and cloud-based processing patterns. The work requires someone who is comfortable stepping into established systems, understanding how existing workflows operate, and carefully translating that logic into cleaner, more maintainable solutions without disrupting current operations.

This role will be hired initially as a 1099 contractor under LightFront, a joint venture between Illumen Group and Spatial Front, Inc. (SFI), with the potential to convert to full-time employment in the new fiscal year. The role is remote after onboarding, but the selected candidate must report to the Census office in Maryland to retrieve equipment and complete PIV-related onboarding. If the candidate is not local, reimbursable travel will be coordinated after onboarding begins.

Clearance / eligibility:

Candidates must be U.S. Citizens due to federal contract requirements and must be able to obtain a Public Trust clearance. The clearance process typically takes 6–8 weeks, and candidates must be comfortable with that process and timeline before moving forward. The selected candidate will also need to report to the Census office in Maryland for equipment and PIV pickup after onboarding has started. Travel costs will be reimbursed for non-local candidates.

The ideal candidate will have a strong Python background, with at least 4 years of experience in data processing, backend systems, or similar technical environments. This role requires someone who has worked with legacy systems and can translate existing business or data logic into Python-based solutions using tools such as pandas, PySpark, or similar libraries. Candidates should be comfortable working through unclear, messy, or long-standing workflows where the first step is understanding the current logic before rewriting anything.

Candidates should also have at least 4 years of database experience, including writing, refactoring, or optimizing stored procedures, backend logic, and complex SQL. Experience with PostgreSQL, PL/pgSQL, Oracle PL/SQL, or similar database environments is important. The role also requires experience with data pipelines, batch processing, ETL workflows, job orchestration, troubleshooting, and performance tuning.

AWS experience is also needed, ideally with services such as Lambda, SQS, SNS, IAM, or similar cloud services used in backend or data workflow environments. Linux experience is required, as the role will involve working in Linux-based development and processing environments. Experience with serverless architecture, Docker, Kubernetes, PySpark, R, or hands-on Base SAS production workflows is helpful, but not required.

The strongest fit will be someone who has worked with legacy data systems, can translate existing logic rather than only build new features, is comfortable operating in less structured environments, and can balance support for older systems with modern Python, database, and cloud-based workflows.

Founding Engineer, MyDataValue

London, UK

We're building the future of Revenue Management. AI agents that give short-term rental operators and independent hotels more money for less effort. We integrate directly with Booking.com, Airbnb, and PMS platforms via deep private API connections.

The role: This is a flexible Hybrid role in London. You'll be the second engineering hire, working directly alongside Martin. Everything is on the table: backend systems, React frontend, Chrome extension, data pipelines, agent orchestration, and prompt engineering. You'll ship full features end-to-end, not tickets. We ship fast using Claude Code and AI-assisted development daily. If you're already running multiple PRs in parallel with AI tools, you'll feel right at home.

What we offer: £80K–£90K base salary plus up to 1% equity (DOE). This is a founding role, you'll have real ownership of the product and the company. You'll shape technical direction, product decisions, and company culture from the ground floor.

If you want to build something real with a small team that's already winning customers and growing fast, where your code ships to production the same day and your decisions shape the company then let's talk.

What we're looking for: Previous startup or founder experience, you've built something from zero and know what that demands. Very strong Python (Django/Celery) and React. Comfortable across the full stack, backend, frontend, infra, data. AI agent development, prompt engineering, or data pipeline experience is a strong plus. You need to be based in London or able to come to our Canary Wharf office 2 days a week. We can't sponsor visas.

Stack: Django, Celery, PostgreSQL, React, Chrome Extensions, Claude Code.

Senior Back-End Python Engineer - FULLY REMOTE-WORLDWIDE, ActivePrime, Inc.

REMOTE, REMOTE

This is a FULLY REMOTE-WORLDWIDE position

ActivePrime is a Silicon Valley Tech company

As a senior software engineer, you'll join a team tackling genuinely hard problems: distributed data processing at enterprise scale, complex deduplication algorithms, and systems that need to handle billions of records without breaking. The kind of challenges that require actual engineering thinking, not just tutorial-level code.

Ready to tackle complex engineering challenges that impact how the world's largest companies manage their data?

Who we are NOT looking for

*Agencies

*People who are looking for a side “hustle” or are starting their own business

*Anyone with less than 8 years of experience

If you are a fit for this position, please start your Cover Letter with I AM A SENIOR BACK END PYTHON ENGINEER WITH 8+ YEARS OF EXPERIENCE in all CAPS

To be considered pls fill out this form https://forms.clickup.com/2257368/f/24wer-69717/12MWQYCOXQEFIYE71Y

Required Skills:

*Very proficient with Linux at the terminal level

*Test-driven development (TDD) and pytest proficiency

*7+ years Python experience

*Polars experience

*PostgreSQL expertise: schema design, optimization, advanced queries

*Familiarity with, and adherence to, PEP guidelines and Python coding standards

*RESTful API development and design best practices

*Scalable architecture design for high-volume data environments

*Security practices and vulnerability prevention

*Bug identification and resolution with local testing

*Thoughtful development centered around performance, deeply optimized code, and proper code organization

*Git version control with branching strategies

*English fluency (written/verbal)

*Previous experience working for a US-based company.

Senior BE Python Engineer for DevOps-FULLY REMOTE, U.S., CANADA, EUROPE based only, ActivePrime, Inc.

REMOTE, REMOTE

The Role

We're seeking a versatile DevOps Engineer with Python language skills, to help scale our infrastructure and operations. This is a "wear many hats" position perfect for someone who thrives in a fast-paced, distributed environment and enjoys building systems that grow with the business.

What You'll Do

*Maintain and Evolve existing AWS infrastructure for Production and Development Environments.

*Develop Automation and Purpose specific applications and Integrations.

*Assist with and eventually lead the provisioning system and software release process.

*Develop internal tools for employees and partners using our stack (Python, FastAPI, nicegui, PostgreSQL, Vue.js, NiceGUI, Ansible, among other tools).

*Manage security policies and help with customer security compliance.

*Support our remote-first culture through robust, reliable systems.

What We're Looking For

*Strong experience in Python development (Libraries, and Services, not just Backend API)

*Experience delivering Python Modules across different environments.

*Strong experience with AWS infrastructure management, configuration, deployment and monitoring.

*Capacity of identifying problems and proposing solutions.

*Proven ability to work independently in a remote environment.

*Excellent async communication skills and self-management.

*Experience building scalable systems from the ground up.

*Comfortable with security best practices and compliance requirements.

*Adaptability to wear multiple hats and tackle diverse challenges.

*We release often, including the weekend. You must be available to work then.

What you will need

*AWS Dashboard (and CLI) experience

*Python language experience

*Linux environment experience

*(Nice to have) Salesforce Admin/Dev Experience

If you are ready to help a growing SaaS company scale please start your cover letter with “ I AM A VERSATILE DEVOPS ENGINEER” We'd love to hear from you.

To be considered please fill out the click up form https://forms.clickup.com/2257368/f/24wer-68877/ON1CTQHI8FXGJURL5V

Senior Fullstack Software Engineer, Autodesk

London, United Kingdom

We are seeking a highly skilled Senior Full Stack Software Engineer to join our team supporting research and foundation model development. This role operates at the intersection of research scientists, ML engineers, and infrastructure teams, enabling rapid experimentation, prototyping, and model deployment.

You are comfortable working in a high-ambiguity environment where requirements are often not fully defined. Understanding problems, gathering context (including through modern AI tools), and iterating quickly are key aspects of the role. You will contribute across the stack, building systems that support model development, evaluation, and integration into production workflows.

This team operates in a hybrid working model from our offices in London.

Responsibilities

Develop and maintain backend and frontend applications and services
Rapidly prototype solutions to support research and experimentation workflows
Design, implement, and monitor CI/CD systems and deployment pipelines
Build tooling for benchmarking, evaluation, and post-training workflows (e.g., harnesses, environments)
Work with 3D data (meshes/BREPs) and support 3D geometry processing and rendering systems
Develop and optimize data processing pipelines
Identify and resolve bugs and system issues in a timely manner
Collaborate with research scientists, ML engineers, and infrastructure teams to enable AI/ML solutions
Use modern AI/GenAI tools to accelerate development, gather context, and validate outputs
Contribute to shared codebases, ensuring quality, scalability, and maintainability
Stay current with emerging technologies and apply them pragmatically in a fast-moving environment
Operate effectively in situations with evolving or unclear requirements

Strong programming skills in Python (or similar)
Experience developing full stack applications (backend + frontend)
Experience using modern AI/GenAI tools as part of the development workflow
Familiarity with cloud infrastructure (e.g., AWS), Linux environments, and containerization (Docker)
Experience with CI/CD tools and workflows
Experience building or working with data pipelines
Ability to work in fast-paced, ambiguous environments and drive tasks to clarity
Bachelor's degree in computer science, Engineering, or equivalent experience
Strong problem-solving, communication, and collaboration skills

Additional Qualifications

Experience building prototypes in research or experimental settings
Familiarity with workflow/pipeline orchestration tools (e.g., Metaflow)
Experience working with 3D data, CAD systems, or rendering techniques
Experience with frontend technologies (e.g., JavaScript, React)
Understanding of software architecture and design patterns
Ability to work across multiple domains (systems, data, UI) as needed
Interest in machine learning or AI systems

Python Back-end Developer, Initialize

Remote, Remote, UK

Back-end Python Developer (AI) - Remote - UK - excellent opportunity to join this innovative and fast-growing AI tech. organisation!

Role Code Back End solutions confidently in Python, design and implement scalable architecture using cloud-native tools. Build and deploy AI-first features using Azure AI Foundry, Docker and AKS. Use Visual Studio Code (ideally with GitHub Copilot or similar AI coding assistants) Collaborate in a tight feedback loop: branch, commit, pull, test, ship - all through Github. Write unit tests and ship quality code, not just quick fixes. Participate in sprints and daily stand-ups

Why join

An excellent opportunity to join an incredible team, organisation - work lean, iterate fast, and learn quickly - perfect role for a Python Back End Developer with an Agile mindset who is curious, flexible, collaborative, unafraid to try new things and help design and build their AI platform.

Skills/experience 2+ years solid commercial Python coding experience (Back End, API development would be great). Good understanding of Docker An Agile mindset and Experience working in agile teams, using Github for CI/CD, branching, pull requests, and automated testing.

Nice to have: Kunernetes Comfortable with VS Code, ideally with AI coding tools like Copilot or VS Code agents. Understanding/experience of cloud-native patterns, and scalable architecture. Experience with Azure's native AI stack (AI Foundry, AI Search, Cosmos DB, AKS). Interest in experimenting with new AI frameworks and tools.