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Lloyds Banking Group

Senior Machine Learning & AI Engineer - Consumer Data Science

Bristol
£72.7k – £80.8k/yr
Posted about 22 hours ago
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End Date

Monday 24 August 2026

Salary Range

£72,702 - £80,780

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Job Description Summary

Job Description

JOB TITLE: Senior Machine Learning & AI Engineer - Consumer Data Science

LOCATION(S): Bristol, Chester or Manchester

HOURS: Full-time

WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.

What you'll be doing

Want to build production-grade AI and machine learning solutions that make a real difference for millions of customers?

As a Senior Lending Machine Learning & AI Engineer, you'll join a growing team delivering machine learning, generative AI and agentic AI solutions across Lloyds Banking Group's Consumer business. Working closely with data scientists, engineers and business stakeholders, you'll help take innovative ideas from experimentation through to live production, creating solutions that deliver value for customers and the business.

  • You'll develop and maintain ML and AI applications in Python, designing and integrating solutions with cloud platforms, APIs, CI/CD pipelines and monitoring tools.
  • You'll play a key role in influencing technical decisions, advocating for engineering best practice and shaping the standards, architecture and culture of the team.
  • This is a highly collaborative role where you'll work across platform, architecture, governance and business teams to deliver secure, scalable and well-governed solutions.
  • You'll also have the opportunity to contribute to incident management, continuous improvement and the future direction of AI engineering within the Group.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What we're looking for

  • 5+ years' experience delivering software solutions across the full development lifecycle, including taking machine learning or AI solutions from experimentation through to live production environments.
  • Advanced software engineering expertise, including software design patterns, programming concepts, automated testing, CI/CD pipelines and production deployments.
  • Strong Python development experience in a commercial machine learning environment, including libraries such as Pandas, Scikit-Learn and XGBoost.
  • Experience working with cloud-based machine learning and data platforms, including technologies such as Vertex AI, BigQuery, Cloud Run or equivalent cloud services.
  • Practical experience implementing MLOps tooling and frameworks such as Kubeflow Pipelines, dbt or similar solutions, including monitoring and operationalising large-scale models.
  • Experience working with Infrastructure as Code, Kubernetes, API authentication and distributed systems within enterprise environments.

And any experience of these would be great

  • Exposure to Generative AI and Agentic AI frameworks such as LangChain, ADK or similar technologies.
  • Experience configuring and optimising Large Language Models (LLMs), balancing performance, risk and cost considerations.
  • Experience partnering with architecture, platform, governance and risk teams to successfully deploy solutions into production.
  • Knowledge of retail banking, lending products or regulated financial services environments.

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

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Our ambition is to be the leading UK business for diversity, equity, and inclusion supporting our customers, colleagues, and communities. We commit to crafting an environment in which everyone can thrive, learn, and develop. We provide reasonable adjustments during recruitment to reduce or remove barriers. Just let us know what you need.

We offer a wide‑ranging benefits package, including:

  • A generous pension contribution of up to 15%
  • An annual performance‑related bonus
  • Share schemes including free shares
  • Benefits you can tailor to your lifestyle, such as discounted shopping
  • 30 days’ holiday, plus bank holidays
  • A range of wellbeing initiatives and generous parental leave policies

Ready for a career where you can have a positive impact as you learn, grow and thrive? Apply today and find out more!

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.

We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.

We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

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Skills

Python
Machine Learning
Generative AI
Agentic AI
Cloud Platforms
CI/CD
Pandas
Scikit-Learn
XGBoost
Vertex AI
BigQuery
Kubeflow Pipelines
Kubernetes
Software Engineering
MLOps
API Development

Location

Bristol, England, United Kingdom

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