Senior Machine Learning Engineer

Harnham - Data & Analytics Recruitment Careers · South Bermondsey, England ·

from 782 £/dayFull-time
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Senior Machine Learning Engineer £782/day (Inside IR35) | 12-Month Contract | London (2 Days Onsite) Overview 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 Key Skills & Experience Essential 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

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