Machine Learning Operations Engineer
Tasks
- Apply security risk and compliance controls
- Build deploy and operate machine learning solutions
- Design machine learning pipelines on Databricks
- Implement CI CD for machine learning
- Implement MLOps model monitoring and reproducibility
- Maintain model versioning and lifecycle governance
- Monitor production models and pipelines
- Optimize Databricks workloads and reuse ML engineering components
Perks/Benefits
- 16 days annual leave
- Bank holidays
- Group hospitalisation and surgical insurance
- Hybrid working
- Internet and phone allowance
- Learning and development opportunities
- Life insurance
- Paid Maternity Leave
- Paid bereavement leave
- Paid marriage leave
- Paid paternity leave
- Paid sick leave
- Transport allowance
Skills/Tech-stack
Access Controls | Apache Spark | Automated testing | Best practices | CI/CD | Containerization | Data Quality | Data quality monitoring | Databricks | Deployment Governance | Drift monitoring | Engineering Best Practices | Git | MLflow | Model Drift | Model Monitoring | Model drift monitoring | Model versioning | Python | Quality monitoring | Secure Coding | Software Engineering | Software engineering best practices | Workspace administration
Education
N/A
Regions
Countries
States
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