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 office, 2 days per week
Job Description
Working in our UK support functions you’ll play a key part in helping our customer‑facing colleagues deliver exceptional standards of customer service and patient care. No matter your role, you’ll have an opportunity to do work that matters and make a difference to the lives of our customers each and every day.
Role Overview
As 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 of AI models. 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, optimise 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 containerisation (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.
- On‑site gyms or local discounts where no on‑site gym is 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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