Base: competitive salary for oxford location; bonu...
Hybrid
Data lake house infrastructure design
Cloud and on-premises compute management
Python, r, and ml frameworks experience
Caristo Diagnostics is a global leader in AI-powered heart disease detection, transforming cardiovascular care through early detection and personalized prevention
Job Summary
Caristo Diagnostics is a global leader in AI-powered heart disease detection, transforming cardiovascular care through early detection and personalized prevention.
The Research DataOps Engineer will build a Data Lake House from the ground up and support medical imaging AI and analytics research in a hybrid-cloud/on-premises environment.
Benefits include a competitive salary, 25 holidays plus bank holidays, enhanced pension, private medical insurance, life insurance, and a cycle-to-work scheme.
Matching Summary
Caristo Diagnostics is a global leader in AI-powered heart disease detection, transforming cardiovascular care through early detection and personalized prevention.
Salary
Base: Competitive salary for Oxford location; Bonus/Equity: Not specified; Benefits: 25 holidays plus bank holidays, enhanced pension, private medical insurance, life insurance, cycle-to-work scheme
Skills & Requirements
Must-have
Data Lake House infrastructure design
Cloud and on-premises compute management
Python, R, and ML frameworks experience
Linux system and GPU cluster administration
Knowledge of data warehousing and data lake technologies
Experience with large image datasets
Nice-to-have
PhD in medical image analysis
Working knowledge of DICOM standard
Experience with AI model training pipelines
Understanding of statistical concepts
Experience with MLOps methodologies
Experience with version control systems
Experience with Data Governance regulations
Key Requirements
Degree in Physics, Mathematics or related discipline
Background in academic or industry research
Experience managing data pipelines with large image datasets