Python Software Engineer - ML Tooling​/Research

If you like building Python systems that make machine learning research actually work at scale - this one's for you. You'll develop and improve the internal tooling that researchers rely on daily: distributed compute workflows, data pipelines, and robust infrastructure that connects research code to real environments - including hardware/prototype devices on-site.

• 12-month contract - inside IR35 - PAYE
• Fully on-site in Cambridgeshire - hardware-heavy environment
• Proper engineering role: ownership, impact, and technical depth

• Build and maintain scalable Python tooling that supports ML research workflows
• Improve reliability: fix bugs, optimise performance, and ship iterative enhancements in sprints
• Integrate with distributed compute, data storage, and internal development systems
• Work closely with researchers as your "users" - gather requirements, translate ambiguity into working software
• Write clean, maintainable code and debug problems that span systems

• 4+ years of commercial experience building software in Python
• Hands-on with PyTorch or Tensor Flow in production or applied ML environments
• Experience with distributed or high-performance computing
• Comfortable working with large/complex ML datasets and research-style workflows
• Good communicator: you can explain what you re building and why, not just ship code

• ML tooling/pipelines built for researchers or data scientists
• CI/CD and deployment experience in complex environments

You ll spend time building new features into internal tools, responding to researcher requests, fixing what s broken, improving what s slow, and collaborating with the infra team in a sprint cadence. This is hands-on engineering with real ownership.

If you re a Python engineer/developer who enjoys solving real systems problems for ML teams, share your CV, and we ll talk through fit, on-site expectations, and the interview process.