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Job Post Details

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Senior Manager Machine Learning & Data Operations - job post

Bupa
3.3 out of 5 stars
The Anchorage Anchorage Quay Salford M50 3XL, Salford Quays M50 3XL
Full-time

Location

The Anchorage Anchorage Quay Salford M50 3XL, Salford Quays M50 3XL

Benefits

Pulled from the full job description

  • Employee discount
  • Company pension
  • Private medical insurance

Full job description

Job Description:

Senior Manager - Machine Learning & Data Operations

London/Manchester/Brighton (Hybrid)

Permanent

Full-time

We make health happen

At Bupa, our purpose is simple: helping people live longer, healthier, happier lives and making a better world. We're a health insurer and provider with no shareholders, so our customers are always our focus.

This role is a chance to shape the future of healthcare through data and innovation. As Senior Manager for Machine Learning and Data Operations, you'll lead the charge in turning ideas into real-world impact. From accelerating AI adoption to improving data governance, your work will help us deliver smarter, faster, and more personalised care for millions of customers.

You'll join a business that values bravery, care, and responsibility - and gives you the freedom to innovate in a highly regulated but exciting space.

Key Responsibilities

  • Define and own the Machine Learning strategy for UK Insurance, aligning with business priorities and technology roadmaps.
  • Build a centralised ML/Data Science hub and establish best practices for ML Ops.
  • Identify and prioritise high-value AI use cases that deliver measurable business outcomes.
  • Oversee the full ML lifecycle - from data preparation and model development to deployment and monitoring.
  • Lead Data Operations to ensure accurate, consistent, and accessible data for analytics and reporting.
  • Drive the UKI Data Governance framework, ensuring compliance and data quality standards.
  • Collaborate with senior stakeholders across technology, analytics, and business teams.
  • Inspire and develop a high-performing team, balancing onshore and offshore resources.

What We're Looking For

  • Proven track record of delivering ML/AI solutions at scale in a complex organisation.
  • Strong leadership experience across Machine Learning, Data Operations, and Data Governance.
  • Expertise in cloud platforms (Azure, AWS, GCP) and ML tooling.
  • Ability to translate technical concepts into business value and influence senior stakeholders.
  • Experience managing distributed teams, including offshore capability.
  • Strategic thinker with hands-on ability to drive innovation and operational excellence.

Benefits

Our benefits are designed to make health happen for our people. Viva is our global wellbeing programme and includes all aspects of 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:

Benefits

  • Private medical insurance
  • Enhanced pension contributions
  • 25 days holiday plus bank holidays
  • Annual bonus scheme
  • Discounts on Bupa services and partner offers

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:

Locations:

Angel Court, London, Kirkstall Forge, Staines - Willow House, Victory House, Brighton
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