Senior Data Engineer | Computer Vision

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£782/day (Inside IR35) | 12-Month Contract | London (2 Days Onsite)

Overview

Clinical Platforms team is seeking a Senior Data Engineer to help build and maintain the data and cloud infrastructure that powers large-scale medical imaging and AI/ML initiatives across the business.

This is a highly technical engineering role sitting at the intersection of Data Engineering, Cloud Engineering, Machine Learning Infrastructure and Computer Vision. You’ll be responsible for designing, building and supporting production-grade data platforms 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, SQL and Google Cloud Platform (GCP) experience who can take ownership of technical solutions from design through to production.

What You’ll Be Doing

• Designing and building scalable data pipelines and cloud-based data platforms
• Developing and maintaining data infrastructure supporting medical imaging and AI/ML workloads
• Building ETL/ELT pipelines and data integration frameworks
• Managing large-scale datasets across cloud environments
• Supporting infrastructure used to deploy and run machine learning and computer vision solutions
• Designing data models and database schemas for complex datasets
• Monitoring, troubleshooting and optimising production systems
• Collaborating with engineers, researchers and data scientists across multiple projects

Key Skills & Experience

Essential

• Strong commercial experience with Python development
• Advanced SQL and data modelling expertise
• Strong Google Cloud Platform (GCP) experience
• Experience designing and delivering production-grade data platforms
• Strong understanding of systems architecture and cloud infrastructure
• Experience building end-to-end data engineering solutions
• Proven track record delivering engineering projects into production

Highly Desirable

• Computer Vision or Image Processing experience
• Exposure to Machine Learning platforms and infrastructure
• Experience working with image datasets at scale
• 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 Background

We’re open to candidates from a variety of backgrounds, including:

• Senior Data Engineers
• Data Platform Engineers
• Machine Learning Engineers
• ML Platform Engineers
• Computer Vision Engineers
• AI Engineers
• Software Engineers with strong cloud and data engineering experience

The key requirement is strong, hands-on commercial 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 within GSK’s Clinical Platforms function
• Contribute to platforms supporting drug discovery and clinical research
• Opportunity to work across Data Engineering, ML Infrastructure and Computer Vision projects
• Long-term 12-month contract with strong extension potential

Contract Details

• Role: Senior Data 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 Data Engineering, Cloud Platforms and Machine Learning infrastructure, I’d be happy to share further details.

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