Job Title: DevOps Engineer - ML
Salary: From £58,400 plus bonus and benefits
Contract type: Permanent
Shift pattern: Full-time - 37.5 hours per week
Location: Hybrid / Any Bupa offer 2 days per week
Role Overview
s an MLOps engineer, you will be responsible for building and maintaining scalable, secure, and automated AI systems on the Azure cloud platform. You will enable seamless deployment, monitoring, and lifecycle management o
Your contributions will have a direct impact on our ability to deliver innovative solutions and drive business growth. You will combine your machine learning, software, and data engineering skills to design, develop, and deploy AI systems that solve business problems and provide value directly to our business unit and customers. This role involves collaborating with data scientists and engineering teams to implement CI/CD pipelines for AI, optimize workflows, and drive operational excellence for enterprise-grade AI solutions.
How you'll help us make health happen
- Design, implement, and maintain MLOps pipelines for AI/ML assets deployed as managed online endpoints in Azure Machine Learning.
- Implement CI/CD workflows for AI solutions using Azure DevOps and Azure CLI.
- Ensure compliance, security, and scalability of AI systems across environments.
- Build monitoring dashboards to track performance, data drift, and system health, and implement alerting and remediation strategies.
- Manage promotion of AI/ML assets (models, apps, containers) across development, staging, and production environments.
- Automate deployment, monitoring, and lifecycle management of AI systems, including Azure Speech Services and OpenAI models.
- Assist in deploying and maintaining Flask-based applications that consume Azure ML endpoints.
Key Skills / Qualifications Needed For This Role
- 5+ years of experience in MLOps or related roles with a focus on Azure cloud platform.
- Must have experience with the Azure platform and ML pipelines?
- Strong proficiency in Azure AI services (Azure Machine Learning, Cognitive Services, Azure Speech Services, Azure OpenAI).
- Hands‑on experience with CI/CD pipelines using Azure DevOps and Azure CLI.
- Proficiency in Python and experience with Azure SDKs for AI services.
- Solid understanding of containerization (Docker) and orchestration (Kubernetes, AKS).
- Experience with monitoring and logging solutions for AI systems (Azure Monitor, Application Insights) and building dashboards.
- Knowledge of identity and access management in Azure (Managed Identity, RBAC).
- Strong understanding of AI/ML asset lifecycle management, including promotion across environments.
Benefits
Our benefits are designed to make health happen for our people. Viva is our global wellbeing programme and includes all aspects of our health - from mental and physical, to financial, social and environmental wellbeing. We support flexible working and have a range of family friendly benefits.
Joining Bupa in this role you will receive the following benefits and more:
- 25 days holiday, increasing through length of service, with option to buy or sell
- Bupa health insurance as a benefit in kind
- An enhanced pension plan and life insurance
- Onsite gyms or local discounts where no onsite gym available
- Various other benefits and online discounts
Bupa is a Level 2 Disability Confident Employer. This means we aim to offer an interview/assessment to every disabled applicant who meets the minimum criteria for the role. We'll make sure you are treated fairly and offer reasonable adjustments as part of our recruitment process to anyone that needs them.
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