Machine Learning Engineer
| Posting date: | 12 March 2026 |
|---|---|
| Salary: | £61,236 to £68,040 per year |
| Hours: | Full time |
| Closing date: | 26 March 2026 |
| Location: | London, London, EC2V 7AE |
| Remote working: | Hybrid - work remotely up to 3 days per week |
| Company: | Lloyds Banking Group |
| Job type: | Permanent |
| Job reference: | 153907_1773321498 |
Summary
JOB TITLE: Machine Learning Engineer
SALARY: : £61,236 - £68,040
LOCATION(S): London or Bristol
HOURS: Full-time - 35 hours per week
WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our London office site. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.
About this opportunity
Lloyds Banking Group is the UK's leading digital franchise, with over 13 million active online customers across our three main brands - including Lloyds Bank, Halifax and Bank of Scotland - as well as the biggest mobile bank in the country. We're building the bank of the future, and we need your help.
Within the Natural Language Engineering Lab, we aim to pioneer innovative solutions that create, maintain, and enhance Conversational Memory, enabling AI agents to interact with customers as expertly as seasoned human financial and banking experts.
We're a diverse group of people, including data scientists, data engineers, machine learning engineers, software engineers, product owners, DevOps specialists, and many more. We come from a variety of backgrounds across the globe, but we all share a vision of the untapped potential of human and machine intelligence.
The Bank has a huge, untapped resource in the form unstructured data contained in calls with customers, webchats, e-mail and a host of other documents and media. We have a range of technologies to capture it, and we want to lead on harnessing its potential.
What you'll be doing
In joining their Data Science team, you could have a very bright future at the ground-breaking of data-led innovation.
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You'll support all stages of a project from working with the business collaborators and users to exploring the problem statement, exploring our data assets, experimenting with different modelling approaches and developing systems powered by Machine Learning all within an iterative and Agile environment. This means a focus on improving our customer and colleague journeys.
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You'll need to understand the business' requirements and work with POs and Engineers to represent them through the creation and prioritisation of work for the development team.
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You'll develop and deploy models and Machine Learning systems in Python, supporting other Data Scientists and working in close collaboration with the end users and business SMEs.
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Your models will have a material impact on the lives of up to 30m+ customers across the whole of the UK.
Why join us?
We're transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We're growing, and we'd love you to be part of the journey.
What we're looking for?
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Working with NLP/ML/GenAI models, and having extensive production experience in Python.
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Applying deep learning, machine learning, analytical techniques, data processing, clustering, regression, and classification to create ML models that will help business collaborators understand unstructured data and semi-structured data within the organisation.
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Creating ML/LLM Ops and end-to-end pipelines on both on-premises and cloud platforms.
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Coding/scripting experience (Python) developed in a commercial/industry setting.
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Solid understanding of Python, including writing modular Pythonic code, familiarity with core Python data structures, fluency with pandas, and experience with unit testing.
And any experience of these would be great
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Hands-on work experience with Google Cloud Platform (GCP) implementations.
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Experience in implementing and supporting Machine Learning systems, including automating data validation, model training, model validation, and model monitoring.
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Awareness of the latest industry technical developments, emerging trends, and new technologies related to Natural Language and Generative AI.
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Experience working with and building CI/CD pipelines
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Docker containerisation to build Docker containers from scratch.
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Experience in infrastructure via Terraform or any other tool resulting in build, test and maintaining it.
We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.
This is a place for you
Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we're committed to creating an environment in which everyone can thrive, learn and develop.
We also offer a wide-ranging benefits package, which includes:
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A generous pension contribution of up to 15%
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An annual performance-related bonus
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Share schemes including free shares
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Benefits you can adapt to your lifestyle, such as discounted shopping
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28 days' holiday, with bank holidays on top
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A range of wellbeing initiatives and generous parental leave policies
Ready for a career where you'll learn and thrive? Apply today and find out more.
Proud member of the Disability Confident employer scheme