Senior AI/ML Python Engineer

Software Engineer (AI/ML Python)

Location: Hybrid London 2 days a week

Inside IR35: £750.00 - £820.00

Imagine building advanced software that helps develop novel therapies-and adapts quickly as diseases emerge and change. Our Client is hiring a Software Engineer to join its AI/ML team, where ownership, collaboration and continuous development aren't just values on paper-they're how you'll work day to day.

What you'll be doing:

• Build and improve the back end of a Python web application that supports AI/ML-driven solutions
• Define, deploy and manage infrastructure within a cloud environment
• Integrate AI/ML components with frontend, data, and compute infrastructure to create end-to-end value
• Write quality, well-documented, well-tested software-supported by automated test suites
• Develop, measure and monitor key metrics for tools and services, then iterate to improve performance and reliability
• Take part in code reviews and raise engineering standards across the team
• Collaborate with data engineers and other technical teams to build an end-to-end pipeline consuming data products

What you'll bring:

• Strong Python skills, with a track record of shipping quality production code
• Experience with unit testing (e.g. pytest) and a mindset of building for reliability
• Confidence working with cloud-native systems and deploying to cloud platforms for real user populations
• Practical experience with infrastructure as code (e.g. Terraform)
• Comfort working in agile environments and following modern, disciplined development practices (e.g. git/GitHub)
• A continuous learning approach-staying curious, iterating, and improving your craft over time
• Passion for solving problems that can support new and existing therapies

Additional information:

• Experience with Python backend frameworks such as FastAPI is a plus
• Background or exposure to biological/scientific data (e.g. genomics, transcriptomics, proteomics) or pharmaceutical work is beneficial
• Knowledge of AI/ML deployment-especially language models, NLP or agent-based approaches-is a strong advantage
• Experience with Docker/containerised applications (including multi-container architecture) is desirable
• Mentoring/coaching and technical leadership experience is strongly valued

#J-18808-Ljbffr