Research Data Ops Engineer (2026)

Hybrid Full TimeOxford, England, United KingdomCaristo Diagnostics

A fantastic opportunity has become available for a Research DataOps Engineer to join Caristo Diagnostics rapidly growing team, based at our Oxford headquarters. This is an exciting opportunity to implement a Data Lake House from the ground up and support the next phase of our medical imaging AI and Analytics research.

Requirements

  • Background in research (academic and/or industry)
  • Degree in Physics or Mathematics or related discipline
  • Experience with unstructured and structured data pipelines including large image datasets
  • Knowledge of modern data warehousing and data lake technologies
  • Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods
  • Linux system administration
  • AWS and GCP administration
  • Experience with GPU cluster and Linux server administration

Benefits

  • Competitive salary (for Oxford location)
  • 25 holidays per year plus bank holidays
  • Enhanced pension contribution
  • Private medical insurance
  • Life insurance
  • Cycle-to-work scheme
  • Additional benefits for long-service

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