Senior Data Engineer | Computer Vision

Harnham
London, United Kingdom
5 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£156,000 - £203,320
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Computer Vision Big Data BigQuery Cloud Computing Cloud Engineering Information Engineering Data Infrastructure Data Integration Extract Transform Load (ETL) Cursor Dicom
+16 more
Python (Programming Language) Machine Learning NumPy OpenCV Azure Machine Learning SQL Databases Systems Architecture Google Cloud Cloud Platform System Sql Optimization GitHub Copilot Pytorch Claude Code Data Management Machine Learning Operations Data Pipelines

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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