Lead Platform Engineer
Glasgow Campus, United Kingdom
GBP 75K-85K (estimate) Senior-level Full Time
Tasks
- Apply secure coding practices
- Automate orchestration and monitoring
- Build model deployment pipelines
- Coach engineers on ML lifecycle management
- Collaborate with data scientists quants and infrastructure teams
- Detect model drift
- Drive reproducibility and lineage tracking
- Ensure AI safety compliance
- Ensure model governance auditability
- Ensure scalable maintainable optimized performance
- Evolve model registries
- Implement CI/CD for ML
- Implement model monitoring
- Implement rollback strategies
- Implement unit testing
- Operationalize ML models at scale
- Optimize SageMaker Databricks MLflow integration
- Perform code reviews
- Write production Python code
Perks/Benefits
- N/A
Skills/Tech-stack
AI Safety | AWS Step Functions | Amazon EKS | Amazon SageMaker | Apache Airflow | Auditability | CI/CD | Databricks | Feature Stores | Kubernetes | Langfuse | MLflow | Model Governance | Model Registry | Observability | Python | Secure Coding | Step Functions | Unit Testing
Education
N/A
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