Senior ML Ops Engineer
Tasks
- Advocate for best engineering practices including CI/CD and version control
- Build and maintain scalable ML platform
- Collaborate with data scientists and developers
- Enable real-time and batch data processing
- Implement monitoring systems for models
- Manage distributed clusters and auto-scaling endpoints
Perks/Benefits
- Company events
- Cycle to work scheme
- Employee assistance
- Family support
- Free daily lunch
- Hybrid and remote work options
- Life assurance
- Medical and dental cover
- Paid Holidays
- Pension
- Professional development
Skills/Tech-stack
A/B | A/B Testing | AI infrastructure | B testing | Batch Prediction | Cloud Computing | Containerization | Data Processing | DevOps | Generative AI | Kubeflow | Low Latency | Low-latency serving | MAB frameworks | MLOps | MLflow | Model Monitoring | Model Optimization | SageMaker | Scalability | Vertex Pipelines
Education
Roles
Engineer | ML Ops Engineer | Ops Engineer | Senior ML Ops | Senior ML Ops Engineer
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