Lead Data Engineer
Holborn - London, United Kingdom
GBP 70K-90K (estimate) Senior-level Full Time
Tasks
- Build MLOps model deployment pipelines
- Build MLOps roadmap standards and tooling selection
- Build and maintain data platform pipelines and services
- Create feature engineering and inference workflows
- Define model rollout rollback and retraining processes
- Define patterns for moving models to production
- Ensure SLAs are met
- Establish interfaces contracts and handover points
- Evaluate new tools and techniques
- Implement model governance controls for lineage and auditability
- Implement model version registries and experiment traceability
- Implement production monitoring for ML services
- Lead and mentor data and ML engineers
- Manage model incident processes
- Onboard and prepare datasets
- Organize team work for feature delivery and platform improvements
- Oversee operational support for pipelines
- Set engineering standards and best practices
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | CI/CD | Data Governance | Infrastructure as Code | MLOps | Machine Learning | Monitoring | Observability | Python | Snowflake | Terraform | Testing | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | MLOps Engineer
Regions
Countries
States
Cities
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