Platform Engineer – Data Science & AI Platform
London, England, United Kingdom
GBP 70K-90K (estimate) Senior-level Full Time
Tasks
- Apply access control for data and ML workloads
- Apply security and compliance best practices
- Build LLM gateway and tool integration
- Build and evolve data engineering platform
- Collaborate with Data Science and ML teams
- Develop data processing components
- Enable traces responses evaluations cost and behavior monitoring
- Enhance data quality and pipeline reliability observability
- Enhance model performance monitoring
- Implement evaluation pipelines and guardrails
- Implement experiment tracking and versioning
- Implement infrastructure as code and environment management
- Improve platform reliability, performance, and security
- Maintain documentation and platform standards
- Maintain shared datasets and platform services
- Manage data and ML lifecycle
- Manage prompts and prompt versioning
- Set up CI/CD pipelines
Perks/Benefits
- Employee discount
- Employee sample sales
- Paid annual leave
- Personalised learning
- Private medical care
Skills/Tech-stack
ACLs | Apache Spark | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure DevOps | Azure Networking | CI/CD | Data Engineering | Data Lake Storage Gen2 | Docker | Entra ID | GitHub Actions | Infrastructure as Code | Kubernetes | Machine Learning | Network Security | Network Security Groups | Private Endpoints | Python | RBAC | Security groups | Terraform | Unity Catalog | Virtual Networks | “as-code”
Education
N/A
Roles
Data Platform | Data Platform Engineer | Engineer | Platform | Platform Engineer
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