Contract MLOps Engineer - Feature Store Cleanup

About the role

Key Deliverables

List the expected deliverables for this project.

• Audit feature pipelines and identify the highest-friction failure points
• Standardise naming, lineage, and deployment practices where practical
• Improve monitoring for late or broken feature jobs
• Support a migration plan away from brittle one-off components
• Write a handoff that internal engineers can actually use

Requirements

Technical stack needed for this mission.

• Hands-on MLOps or data platform experience
• Python for tooling and migration work
• Kubernetes or containerised job orchestration experience
• MLflow or similar model and artefact tooling
• CI/CD familiarity for infrastructure changes
• Ability to improve systems without creating unnecessary platform sprawl

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