Platform Engineer – Data Science & AI Platform
London, England, United Kingdom
GBP 75K-90K (estimate) Senior-level Full Time
Tasks
- Apply security and compliance best practices
- Build data and ML platform infrastructure
- Collaborate with data and ML teams
- Contribute documentation standards and best practices
- Design CI/CD pipelines
- Develop data processing components
- Enforce access control for agents
- Implement evaluation and safety controls
- Implement evaluation pipelines and guardrails
- Implement experiment tracking
- Implement infrastructure-as-code
- Implement model lineage and versioning
- Improve agent observability
- Improve data and model observability
- Integrate LLM gateway and tools
- Maintain permissions and access controls
- Maintain shared datasets
- Manage Dev/Test/Prod environments
- Manage prompt and versioning
- Monitor cost and behavior
- Solve platform reliability performance and security issues
- Support data and ML lifecycle management
Perks/Benefits
- Employee discount
- Employee sample sales
- Paid annual leave
- Personalized learning
- Private medical care
Skills/Tech-stack
ACL | Apache Spark | Azure | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure DevOps | CI/CD | Data Lake Storage Gen2 | Docker | Entra ID | GitHub Actions | Kubernetes | Microsoft Entra | Microsoft Entra ID | Network Security | Network Security Group | Private Endpoint | Python | RBAC | Security Group | Terraform | Unity Catalog | Virtual Network
Education
N/A
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