Senior ML Infrastructure Engineer
Oxford, England, United Kingdom
GBP 70K-90K (estimate) Senior-level Full Time
Tasks
- Automate cluster lifecycle management
- Benchmark and profile performance bottlenecks
- Build GPU training and inference clusters
- Design high-throughput data paths
- Forecast GPU and storage capacity and cost
- Implement automated security controls
- Implement observability and resilience
- Improve distributed training and inference efficiency
- Operate GPU clusters
- Optimize I O caching and data locality
- Optimize scheduling and isolation
- Set quotas and streamline ML experimentation pipelines
Perks/Benefits
- Electric car scheme
- Enhanced holiday pay
- Hospital Cash Plan
- Income protection
- Life assurance
- Pension
- Perk Box
- Private medical insurance
- Therapy Services
Skills/Tech-stack
Argo CD | Automation | Benchmarking | CI/CD | Caching | Containerization | Data Locality | Distributed Training | GPU | High Performance | High Throughput | High speed | High throughput storage | High-Performance Computing | High-Speed Networking | I/O | I/O Optimization | Inference | Infrastructure as Code | Lustre | MLOps | Machine Learning | Network Performance | Observability | Performance Computing | Performance Profiling | Resilience | Scheduling | Security | Terraform | “as-code”
Education
N/A
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