Senior MLOps Engineer
Tasks
- Build ML pipelines
- Build production APIs
- Collaborate with data scientists and engineers
- Deploy machine learning models
- Develop infrastructure as code
- Evolve MLOps tooling
- Implement CI/CD processes
- Monitor machine learning systems
- Operate ML platform
- Support production ML environments
Perks/Benefits
- Birthday off
- Broadband discounts
- Cycle2work scheme
- Dental insurance
- Employee discount platform access
- Health insurance
- Life cover
- Neurodiversity Assessments
- Optional Electric Vehicle Lease
- Paid time off
- Pension
- Priority app access
- TV and mobile discounts
- Wellbeing support
Skills/Tech-stack
AI Agent Builder | AWS | Agent Builder | Azure | BigQuery | CI/CD | Cloud Run | Cloud platform | Data Pipelines | FastAPI | Gemini | Google Cloud | Google Cloud Platform | Infrastructure as Code | LLM | MLOps | Machine Learning | Model Monitoring | Python | Vertex AI | Vertex AI Agent Builder | “as-code”
Education
N/A
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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