Machine Learning Operations Engineer
GBP 60K-75K (estimate) Mid-level Full Time
Tasks
- Automate deployment rollback and release processes
- Automate regression testing for prompt workflows
- Build and manage CI/CD pipelines for ML models
- Configure and update LLM deployments with limits and safeguards
- Create cost models and production readiness documentation
- Ensure auditability traceability and reproducibility with documentation and governance
- Implement monitoring for availability latency errors and resources
- Implement safe deployment strategies
- Implement secure access controls identity management and secrets handling
- Improve resilience and reduce MTTR with automation
- Instrument LLM services for token usage latency and safety signals
- Lead incident response and post-incident reviews
- Maintain operational runbooks and safe mode procedures
- Manage prompts and workflows as code with versioning
- Monitor data quality freshness volume completeness schema drift
- Monitor model performance drift and prediction distribution shifts
- Operate production ML and LLM services
- Package and deploy containerized inference services
- Register and promote models across environments with governance
- Run production reliability operations with SLOs and SLIs
Perks/Benefits
- Annual leave buy sell
- Buy and sell holiday
- CPD support
- Core hours
- Cycle to work
- DBS check paid by employer
- Discounted gym memberships
- Employee assistance programme
- Employer Discounts
- Enhanced maternity and paternity pay
- Green Car Scheme
- Hybrid work
- Long service awards
- Mental health support
- Occupational sick pay
- On call rota compensation
- Pension
- Private healthcare insurance
- Professional registration fees covered
- Refer a friend bonuses
Skills/Tech-stack
AKS | Alerting | Azure | Azure Machine Learning | Azure Monitor | Blue-Green Deployment | Blue/green | CI/CD | Canary Release | Circuit Breakers | Container Registry | Data Contracts | Data Drift | Data Quality | Deployment Automation | DevOps | Docker | Experiment tracking | Feature Engineering | Identity Management | Incident Management | Infrastructure as Code | Injection testing | Kubernetes | LLMOps | Log Analytics | MLOps | Machine Learning | Model registration | Monitoring | PII protection | Prompt Injection Testing | Prompt injection | PyTorch | Python | Reliability Engineering | SRE | Schema evolution | Scikit-learn | Secrets management | TensorFlow | Training-serving skew | “as-code”
Education
N/A
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