Machine Learning Ops Engineer
Tasks
- Build and maintain automated machine learning deployment pipelines
- Collaborate with Data Scientists to productionize models
- Deploy and operationalize machine learning models
- Ensure documentation and reproducibility of machine learning pipelines
- Implement machine learning governance and compliance
- Improve MLOps tooling and automation
- Maintain machine learning platforms and infrastructure
- Manage release cycles
- Monitor model performance and data drift
- Monitor system health and reliability
- Provide production support and resolve incidents
Perks/Benefits
- Annual bonus scheme
- Annual leave
- Discounts on retail and insurance
- Family benefits
- Flexible on site working
- Learning and development
- Life assurance
- Mentoring
- Paid carer’s leave
- Pension scheme
- Volunteer days
- Wellbeing support
Skills/Tech-stack
APIs | AWS | Amazon SageMaker | Automation | CI/CD | Containerization | Data Drift | Docker | Feature Stores | Flask | Gunicorn | Infrastructure as Code | Kubernetes | Linux | MLOps | Machine Learning | Model Monitoring | Model Registry | Orchestration | Python | Real Time | Real-time Serving | Terraform | “as-code”
Education
N/A
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