Machine Learning Engineer
Newbury, England, United Kingdom
GBP 72K-90K (estimate) Senior-level Full Time
Tasks
- Automate retraining workflows
- Build ML deployment pipelines
- Collaborate on data pipeline reliability for ML workloads
- Create governance documentation and audit trails
- Deploy real time and batch inference
- Design and implement CI/CD pipelines for ML
- Document best practices and share team knowledge
- Establish model monitoring and alerting
- Implement FinOps principles
- Implement model serving infrastructure
- Implement model versioning and reproducibility
- Optimize compute resource allocation and infrastructure costs
- Productionize validated experimental models
- Standardize ML engineering practices across platforms
- Track model performance in production
Perks/Benefits
Skills/Tech-stack
AI Foundry | Azure AI | Azure AI Foundry | Azure ML | Batch inference | CI/CD | Cloud platform | Containerization | Databricks | FinOps | GCP | Google Cloud | Google Cloud Platform | Learning operations | Machine Learning | Machine Learning Operations | Model Monitoring | Model Serving | Model versioning | Orchestration | Python | Real Time | Real-time Inference | Testing | Version control
Education
N/A
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