Senior Machine Learning Engineer

The 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, We’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

• 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, * GCP
• Image processing
• Machine learning
• Python
• SQL
• end to end cloud