DevOps Engineer - ML

Posted Yesterday
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4 Locations
In-Office
58K-58K Annually
Senior level
Healthtech
The Role
Design, build and maintain MLOps pipelines and CI/CD for AI/ML assets on Azure. Deploy, monitor, and manage lifecycle of models and services (including Azure Speech and OpenAI), ensure security and compliance, create monitoring dashboards, and support Flask applications that consume Azure ML endpoints.
Summary Generated by Built In

Job Description:

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  

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.

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

Why Bupa?

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.

We encourage all of our people to “Be you at Bupa”, we champion diversity, and we understand the importance of our people representing the communities and customers we serve. That’s why we especially encourage applications from people with diverse backgrounds and experiences.

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.

Time Type:

Full time

Job Area:

IT

Locations:

Angel Court, London, Bupa Place, Kirkstall Forge, Staines - Willow House

Skills Required

  • 5+ years of experience in MLOps or related roles with a focus on Azure cloud platform.
  • 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.
  • Experience deploying and maintaining Flask-based applications that consume Azure ML endpoints.

Bupa Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bupa and has not been reviewed or approved by Bupa.

  • Healthcare Strength Health cover via the UK Health Trust, day‑one medical support for frontline roles, and dedicated women’s health initiatives indicate a robust, health‑centric package. Access to digital GP, nurse lines, and options such as dental and health cash plans further reinforce medical and preventive care breadth.
  • Wellbeing & Lifestyle Benefits Wellbeing programs span mental, physical, emotional, and financial support, with offerings like EAP access, gym discounts, and health assessments. Flexible work and wellbeing programs highlighted in some regions add to lifestyle value.
  • Parental & Family Support Policies include enhanced parental leave in certain UK business units and a family mental‑health support line. Options to extend medical coverage to dependants and family‑oriented allowances strengthen support beyond the individual.

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The Company
HQ: London
23,800 Employees
Year Founded: 1947

What We Do

Bupa's purpose is helping people live longer, healthier, happier lives and making a better world. We are an international healthcare company serving over 38 million customers worldwide. With no shareholders, we reinvest profits into providing more and better healthcare for the benefit of current and future customers. We directly employ around 85,000 people, principally in the UK, Australia, Spain, Chile, Poland, New Zealand, Hong Kong SAR, Türkiye, Brazil, Mexico, the US, Middle East and Ireland. We also have associate businesses in Saudi Arabia and India. For more information, visit www.bupa.com

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