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

Tagged as:

To apply for this job please visit caristo.bamboohr.com.


You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!