Senior MLOps Engineer
London, UK, United Kingdom, Aberdeen City
GBP 80K-110K (estimate) Senior-level Full Time
Tasks
- Configure distributed training jobs
- Configure serving settings
- Deploy model serving endpoints
- Ensure model provenance registration
- Maintain MLOps standards and practices
- Manage model deployment
- Monitor model performance
- Own model lifecycle end to end
- Review model handover documentation
- Run model retraining
- Troubleshoot training job failures
- Use experiment tracking systems
- Use model registry systems
Perks/Benefits
Skills/Tech-stack
CI/CD | Cloud infrastructure | DeepSpeed | Distributed Computing | Distributed Training | Experiment tracking | FSDP | GitHub Actions | Infrastructure as Code | MLflow | Model Registry | Model Serving | Monitoring | PyTorch | Python | Ray Train | Retraining | Terraform | Weights and Biases | “as-code”
Education
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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