Senior Data Engineer | Computer Vision
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Role details
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Job description
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, 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
Requirements
- 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, * GCP
- Medical Imaging
- Python
- SQL
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