DevOps Engineer

Central London, United Kingdom

Bupa

Bupa is an international healthcare company. Our purpose is helping people live longer, healthier, happier lives and making a better world.

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Job Description:

DevOps Engineer

Salary: £56,100-£60,000 dependant on experience
Location status: Hybrid working
Location: Angel Court, London or Bupa Place, Salford
Contract type: Permanent
Shift pattern: Full-time, 37.5 hours per week
 

We make health happen

At Bupa, we’re here to help people live longer, healthier, happier lives – and make a better world. That’s our purpose, and it’s what drives everything we do.

As a DevOps (ML) Engineer, you’ll play a key role in bringing this purpose to life. You’ll join our growing Market Unit Data Science team, working on innovative AI and machine learning solutions that make a real difference to our customers and our business. With access to our enterprise cloud infrastructure and a collaborative, cross-functional environment, you’ll help us build scalable, ethical, and impactful data products that support our 2027 strategy.

Key Responsibilities

In this role, you’ll help bridge the gap between data science and production engineering. You’ll:

  • Build and maintain CI/CD pipelines for machine learning model development, testing, and deployment.
  • Develop reusable tools and frameworks for data processing, model training, validation, and monitoring.
  • Work closely with data scientists to operationalise models, ensuring they’re scalable, reliable, and reproducible.
  • Implement observability and monitoring systems to track model performance, drift, and data integrity.
  • Ensure governance and compliance through model versioning, reproducibility, and auditability.

What We’re Looking For

We’re looking for someone who’s passionate about using technology to make a difference – and who brings the following:

  • Strong Python coding skills.
  • Proficiency with Azure and orchestration tools like Azure DevOps (ADO).
  • Experience with MLOps frameworks such as MLflow, Kubeflow, Metaflow, or SageMaker.
  • Experience deploying real-time inference services and batch prediction pipelines.
  • Solid understanding of CI/CD practices and monitoring tools (e.g., Prometheus, Grafana).

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’ll receive the following benefits and more:

  • 25 days holiday, increasing with service, with the option to buy or sell
  • Bupa health insurance as a benefit in kind
  • Enhanced pension plan and life insurance
  • Annual performance-based bonus
  • Onsite gyms or local discounts where no onsite gym is 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 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
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Job stats:  1  0  0
Category: Engineering Jobs

Tags: Azure CI/CD DevOps Engineering Grafana Kubeflow Machine Learning MLFlow ML models MLOps Model training Pipelines Python SageMaker Testing

Perks/benefits: Career development Flex hours Health care Insurance Salary bonus

Region: Europe
Country: United Kingdom

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