Senior ML Ops Engineer
Holborn - London, United Kingdom
GBP 70K-79K (estimate) Senior-level Full Time
Tasks
- Build automated ML pipelines for training validation and deployment
- Create ML specific CI/CD testing and release automation
- Create model registries feature stores and inference services
- Define operating model between MLOps and model development teams
- Deploy monitor retrain and govern models at scale
- Establish model lineage reproducibility and audit trail controls
- Implement monitoring alerting and automated recovery for ML workloads
- Manage rollback rollout and incident response
- Mentor junior engineers to raise operational standards
- Translate between Data Science and Engineering and explain trade offs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Lambda | AWS Step Functions | Amazon ECS | Amazon EKS | Amazon SageMaker | Automated testing | CI/CD | Data Drift | Data Drift Detection | Data Quality | Data quality monitoring | Docker | Drift Detection | Experiment tracking | Feature Store | Incident Response | Infrastructure as Code | Latency monitoring | Model Monitoring | Model Registry | Model Serving | Python | Quality monitoring | Rollback and rollout | Snowflake | Step Functions | Terraform | Workflow Orchestration | “as-code”
Education
N/A
Regions
Countries
States
Cities
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