Senior Staff MLOps Engineer
London, UK, United Kingdom, Aberdeen City
R
GBP 80K-110K (estimate) Senior-level Full Time
Tasks
- Define end to end model lifecycle standards
- Drive model deployment and serving
- Enable distributed training and federated learning
- Establish model testing and validation
- Govern model artifact management and versioning
- Implement experiment tracking
- Manage model registries and model lifecycle
- Monitor production AI systems
- Optimize training and inference cost
- Own MLOps architecture roadmap
- Plan training orchestration and automation
- Provide engineering leadership mentoring and onboarding
- Set CI CD for machine learning
Perks/Benefits
Skills/Tech-stack
CI/CD | Containerization | Distributed Training | Docker | Experiment tracking | Federated Learning | Helm | Kubernetes | Learning platforms | Machine Learning | Machine Learning Platforms | Model Deployment | Model Monitoring | Model Registry | Python | Version control
Education
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