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3,010

Machine Learning Engineer jobs in United Kingdom

Data Scientist

Data Scientist
Bupa
Greater London
GBP 46,000 - 60,000
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Data Engineer

Data Engineer
Ripjar
Bristol
Remote
GBP 40,000 - 60,000

Data Scientist – Data Science Analytics and Enablement (DSAE)

Data Scientist – Data Science Analytics and Enablement (DSAE)
PlayStation
London
GBP 50,000 - 80,000

Genomic Data Scientist (we have office locations in Cambridge, Leeds & London)

Genomic Data Scientist (we have office locations in Cambridge, Leeds & London)
ZipRecruiter
London
GBP 55,000 - 75,000

Data Engineer – STR – London, UK

Data Engineer – STR – London, UK
costar
London
GBP 50,000 - 70,000
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Data Analyst

Data Analyst
KellyDeli
London
GBP 40,000 - 60,000

DATA ANALYST

DATA ANALYST
Wrexham AFC
Wrexham
GBP 30,000 - 45,000

Senior Data Scientist - Media Optimisation

Senior Data Scientist - Media Optimisation
Choreograph
London
GBP 60,000 - 90,000
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Data Scientist

Data Scientist
ZipRecruiter
Coalville
GBP 35,000 - 55,000

Senior Data Scientist - Creative Optimization

Senior Data Scientist - Creative Optimization
Choreograph
London
GBP 70,000 - 100,000

Market Insights Data Analyst

Market Insights Data Analyst
Atlas Technology Solutions
United Kingdom
GBP 35,000 - 50,000

Data Analyst Skills Coach/Mentor- Apprenticeships Sector. Job in Manchester Education & Trainin[...]

Data Analyst Skills Coach/Mentor- Apprenticeships Sector. Job in Manchester Education & Trainin[...]
Pertemps Network Group
Manchester
GBP 43,000 - 45,000

Data Analyst

Data Analyst
Assystem
Bridgwater
GBP 30,000 - 50,000

Data Engineer - 12 month FTC

Data Engineer - 12 month FTC
Serco
Metropolitan Borough of Solihull
GBP 40,000 - 60,000

Staff Data Scientist

Staff Data Scientist
Algolia
London
GBP 70,000 - 100,000

Data Scientist – Data Science Analytics and Enablement (DSAE)

Data Scientist – Data Science Analytics and Enablement (DSAE)
PlayStation Network
London
GBP 50,000 - 80,000

Senior Data Engineer in Nottingham - Lithia UK

Senior Data Engineer in Nottingham - Lithia UK
WorksHub
Nottingham
GBP 60,000 - 80,000

Machine Learning Research Engineer

Machine Learning Research Engineer
OHO Group Ltd.
London
GBP 60,000 - 90,000

Machine Learning Engineer, AI Decisioning

Machine Learning Engineer, AI Decisioning
HighTouch
North America
USD 200,000 - 260,000

Software Engineer (Full Stack, Machine Learning)

Software Engineer (Full Stack, Machine Learning)
Darktrace
Cambridge
GBP 50,000 - 70,000

Machine Learning Workflow Engineer

Machine Learning Workflow Engineer
Barlowe LLP
London
GBP 60,000 - 100,000

Machine Learning Scientists and Engineers: AI for Quantum

Machine Learning Scientists and Engineers: AI for Quantum
Quantinuum
London
GBP 60,000 - 100,000

Machine Learning Engineer - C++

Machine Learning Engineer - C++
JR United Kingdom
London
GBP 55,000 - 85,000

Senior Machine Learning Operations Engineer

Senior Machine Learning Operations Engineer
First Central
Manchester
GBP 60,000 - 80,000

Senior Machine Learning Operations Engineer

Senior Machine Learning Operations Engineer
First Central
Haywards Heath
GBP 60,000 - 80,000

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Data Scientist

Bupa
Greater London
GBP 46,000 - 60,000
Job description

Data Scientist

Location: London EC2R 7HJ, Salford M50 3SP, Staines TW18 3DZ

Hybrid working options – ideally 1–2 days per week in office

Permanent

Salary range: £46,400 - £60,000 (depending on experience & location)

Full time: Scheduled 37.5 hours per week

We make health happen

At Bupa, we’re passionate about using technology to make a meaningful difference. With our colleagues, customers, patients, and residents at the heart of everything we do, you’ll have the opportunity to lead innovative, high-impact projects that span our entire organisation.

As part of our ambitious 2027 strategy, you’ll join a growing Data Science team focused on implementing modern data science and MLOps standards while upholding ethical and responsible practices.

You will work within a cross-functional team leveraging our new enterprise cloud infrastructure to design and develop products that drive both commercial value and improved customer outcomes.

How you’ll help us make health happen:

  • Championing and delivering bespoke solutions to complex business problems to support commercial growth and enhance customer experiences and outcomes.
  • Leading and supporting end-to-end data science projects, including business case development, solution design, feature engineering, model development, deployment, and MLOps.
  • Taking ownership of existing ML/AI projects, including ongoing monitoring of model performance, data drift, scoring latency, and continuous optimisation.
  • Acting as a data evangelist by educating stakeholders on the art of the possible, while actively sharing knowledge and collaborating with data scientists across Bupa’s global businesses.
  • Working with multi-modal data sources (including structured, unstructured, and semi-structured formats such as electronic health records, clinical notes, imaging data) to extract insights, automate processes, and optimise pipelines through creatively applying AI methodologies.
  • Committing to continuous professional development, aligning learning with organisational goals and emerging trends in AI and data science.
  • Ensuring full compliance with regulatory frameworks and standards relevant to the health insurance sector (e.g., GDPR, DPA) as well as proactively aligning Bupa’s Responsible AI Framework.

Key Skills / Qualifications needed for this role:

  • Applied experience in Data Science within a healthcare, clinical, insurance, or dental setting.
  • Hands-on experience with SQL and Python, preferably within a cloud environment such as Snowflake, Azure and GCP.
  • Demonstrated knowledge and experience in delivering end-to-end AI and GenAI projects, including business case development, model building, and deployment.
  • A solid understanding of machine learning infrastructure and architecture, with the ability to support technical teams in developing scalable ML platforms.
  • Strong communication skills, with the ability to present complex technical concepts to non-technical stakeholders.
  • Experience working in an agile environment, preferably with familiarity using Azure DevOps tools such as Boards, Repos, and Pipelines to manage workflows and collaborate effectively.

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 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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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