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
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
Similar jobs
Show more