Wholesale Operations Intern providing support in wholesale activities for Karl Lagerfeld. Gaining hands - on experience in the fashion industry while assisting with operations and account management.
About the role
- Research DataOps Engineer implementing a Data Lake House for AI and Analytics at Caristo Diagnostics. Join an innovative healthcare start-up focused on transforming cardiovascular care.
Responsibilities
- Design and build a secure Data Lake House infrastructure to support AI and Data Analytics Research
- Manage Cloud/On-premises compute resources to achieve research objectives
- Contribute to MLOps pipeline for translation of Research Algorithms to Product
- Collaborate with researchers, academic partners, product team, and image analysts
- Manage cohorts of test data according to GDPR and other data privacy regulations
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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