Lead Machine Learning Engineer
GBR-London-5 Canada Square, United Kingdom
GBP 86K-102K (estimate) Senior-level Full Time Found 13d ago
Tasks
- Collaborate with data scientists and engineers
- Design and build ML models
- Develop deployment pipelines
- Ensure ML security and compliance
- Feature engineering
- Implement explainability techniques
- Maintain ML platform components
- Manage cross-account inference deployment
- Monitor model performance and drift
- Optimize inference performance
- Produce documentation and governance artifacts
- Support CI/CD for ML workflows
Perks/Benefits
Skills/Tech-stack
AWS IAM | CI/CD | Feature Store | Lakehouse Architecture | Low Latency | Low Latency Inference | ML Model Deployment | MLOps | Model Deployment | Model Explainability | Model Performance Optimization | Model Validation | Model performance | Model versioning | Performance optimization | PyTorch | Python | SHAP | SageMaker | Telemetry and monitoring | TensorFlow | XGBoost
Education
Bachelor | Doctorate in STEM, engineering, computer science | Master
Language: en |
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