Full job description

Senior Machine Learning Engineer£782/day (Inside IR35) | 12-Month Contract | London (2 Days Onsite)
OverviewThe Clinical Platforms team is seeking a Senior Machine Learning Engineer to help build and scale AI-powered solutions that support large-scale medical imaging initiatives across the business.
This is a highly technical engineering role sitting at the intersection of Machine Learning, Computer Vision, Cloud Engineering and Data Platforms. You’ll be responsible for developing, deploying and maintaining production-grade machine learning systems that enable researchers and scientists to work with complex imaging datasets and AI-driven workflows.
The team is looking for a hands-on engineer with strong Python, Machine Learning and Google Cloud Platform (GCP) experience who can take ownership of technical solutions from concept through to production deployment.
What You’ll Be Doing*Designing, building and deploying scalable machine learning and computer vision solutions
*Developing and maintaining ML infrastructure supporting medical imaging and AI workloads
*Building end-to-end ML pipelines, including data processing, training, validation and deployment workflows
*Working with large-scale imaging datasets within cloud-based environments
*Deploying, monitoring and optimising production machine learning models
*Developing model architectures and supporting systems for complex imaging use cases
*Monitoring, troubleshooting and improving model performance and production systems
*Collaborating with engineers, researchers and data scientists across multiple projects
Key Skills & ExperienceEssential*Strong commercial experience with Python development
*Experience building and deploying machine learning solutions into production
*Strong Google Cloud Platform (GCP) experience
*Experience designing and delivering production-grade ML platforms and workflows
*Strong understanding of systems architecture and cloud infrastructure
*Experience building end-to-end machine learning solutions
*Proven track record delivering machine learning and engineering projects into production
Highly Desirable*Computer Vision or Image Processing experience
*Experience developing and deploying Machine Learning models at scale
*Experience working with image datasets in production environments
*PyTorch, OpenCV, NumPy or related technologies
*BigQuery and wider GCP ecosystem experience
*Familiarity with AI-assisted development tools such as Cursor, Claude Code or GitHub Copilot
Nice to Have*Medical imaging experience
*DICOM or PACS exposure
*Healthcare, biotech or pharmaceutical industry experience
Ideal BackgroundWe’re open to candidates from a variety of backgrounds, including:
*Senior Machine Learning Engineers
*Machine Learning Platform Engineers
*Computer Vision Engineers
*AI Engineers
*Applied Scientists
*Research Engineers
*Software Engineers with strong Machine Learning and Cloud Engineering experience
The key requirement is strong, hands-on commercial machine learning engineering experience and the ability to design, build and support complex production systems.
Why Join?*Work on cutting-edge AI and medical imaging initiatives
*Join a highly technical engineering team Clinical Platforms function
*Contribute to AI platforms supporting drug discovery and clinical research
*Opportunity to work across Machine Learning, Computer Vision and Cloud Engineering projects
*Long-term 12-month contract with strong extension potential
Contract Details*Role: Senior Machine Learning Engineer
*Contract Length: 12 Months
*Rate: Up to £782/day
*IR35 Status: Inside IR35
*Location: London
*Working Pattern: 2 Days Onsite Per Week
If your background sits across Machine Learning, Computer Vision, AI Engineering and Cloud Platforms, I’d be happy to share further details.