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# Senior Machine Learning Engineer

- **Company:** Harnham
- **Location:** London, United Kingdom
- **Experience:** Expert
- **Salary:** £156,000 - £203,320
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Computer Vision, BigQuery, Cloud Computing, Cloud Engineering, Cursor, Dicom, Python (Programming Language), Machine Learning, NumPy, OpenCV, Standard Sql, Azure Machine Learning, Software Deployment, Systems Architecture, Data Processing, Google Cloud, GitHub Copilot, Pytorch, Delivery Pipeline, Claude Code, AI Platforms, Data Management, Machine Learning Operations
- **Published:** November 10, 2026
- **Apply:** https://www.reed.co.uk/jobs/senior-machine-learning-engineer/57551877

## About the Role

* 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

## Description

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