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# AI/ML Python Engineer

- **Company:** Experis
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Language Modeling, Backend, Fastapi, Terraform, Docker
- **Published:** July 31, 2026
- **Apply:** https://www.experis.co.uk/job/senior-ai-slash-ml-python-engineer-5982174/apply

## About the Role

* 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

## Description

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


## Related Videos

- [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps)
- [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Multilingual NLP pipeline up and running from scratch](https://www.wearedevelopers.com/videos/901-multilingual-nlp-pipeline-up-and-running-from-scratch)
- [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai)

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