ML Ops Engineer
Holborn - London, United Kingdom
GBP 60K-75K (estimate) Mid-level Full Time
Tasks
- Build automated pipelines for model training validation and deployment
- Deploy and serve machine learning models with feature stores and inference services
- Develop model monitoring and alerting systems
- Establish model lineage reproducibility and audit controls
- Implement model rollback rollout and incident response
- Manage environments and model versioning
- Orchestrate ML workflows and pipelines
- Set up ML specific CI CD testing and release automation
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Lambda | AWS Step Functions | Alerting | Amazon ECS | Amazon EKS | Amazon SageMaker | CI/CD | Data Quality | Data quality monitoring | Docker | Experiment tracking | Feature Store | Inference services | Infrastructure as Code | Machine Learning | Model Drift | Model Monitoring | Model Registry | Model Serving | Python | Quality monitoring | Snowflake | Step Functions | Terraform | Testing | Workflow Orchestration | “as-code”
Education
N/A
Roles
Regions
Countries
States
Cities
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