Devops Engineer - Ml

Overview

Salary: From £58,400 plus bonus and benefits

Contract type: Permanent

Location: Hybrid / Any Bupa offer 2 days per week

We make health happen

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. Making a difference to the lives of our customers each and every day.

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 systems.

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 units 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.

• 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 Dev Ops 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.

• 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.
• Hands-on experience with CI/CD pipelines using Azure Dev Ops 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.

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

We’re a health insurer and provider. With no shareholders, our customers are our focus. Our people are all driven by the same purpose – helping people live longer, healthier, happier lives and making a better world. We make health happen by being brave, caring and responsible in everything we do.