Machine Learning & AI Engineer, Lloyds
£70.9-86.7k
2+ days a week in office (Bristol Harbourside)
Retail and commercial bank
Be an early applicant
Retail and commercial bank
1001+ employees
Be an early applicant
£70.9-86.7k
2+ days a week in office (Bristol Harbourside)
1001+ employees
Company mission
To support families and businesses, helping them to take the next step, whatever that may be.
Role
Who you are
- We’re looking for a strategic and technically minded Machine Learning & AI Engineer to join our team as we continue to advance the Group in this space
- Python development: Strong experience writing clean, modular, and testable code
- Testing & code quality assurance: Unit/integration testing, pre-commit hooks for static analysis (e.g. code linting and formatting via black / flake8), type checking / hinting
- Version control: Git workflows (branching, PRs, tagging, semantic versioning)
- Google Cloud Platform (GCP): Hands-on experience with services like Vertex AI, Google Cloud Storage, BigQuery, Google Artifact Registry. GCP Professional Machine Learning Engineer or Associate Cloud Engineer certifications are a plus
- ML model productionisation: Experience operationalising models on Google Cloud Platform or the internal MLP platform. Preferably building and deploying ML pipelines via Kubeflow (KFP) components and Vertex AI Pipelines
- Environment promotion: Managing controlled promotion of models from the development environment to test and production environments
- CI/CD with Cloud Build: A good understanding of automated test, artifact build, and deployment to artifact registry
- Containerisation: A solid understanding of Docker image creation
- Observability: Logging, monitoring, and alerting for ML pipelines and deployed models
What the job involves
- HOURS: 35 hours, full time
- Experience Optimisation is a product within the Personalised Experiences & Communications Platform. We are the team responsible for building Machine Learning (ML) AI models to define how we want to engage our customers with communications
- We use a range of tried and tested techniques, as well as leveraging advances in AI model development, to develop and deploy a wide range of ML models
- You will use your knowledge of key software development best practices, Python testing frameworks, CI/CD, and source control to develop end-to-end machine learning systems in Python. You will productionise machine learning pipelines that implement creative data science solutions to the Bank’s data problems; ensuring they are compliant, scalable and efficient
- The team is also responsible for building adaptive models that will be utilised by PEGA, when our partnership sees the Customer Decisioning Hub implemented in 2026, along with developing new attribution methodologies for determining the success of our engagement with customers
- The role offers an incredible opportunity for you to be at the forefront of how Machine Learning and AI are Helping Britain Prosper
- Designing and implementing ML models and algorithms
- Developing and maintaining scalable ML pipelines and infrastructure
- Collaborating with data scientists to understand model requirements and translate them into technical solutions
- Optimising models for performance and accuracy
- Deploying and monitoring ML models in production environments
- Troubleshooting and resolving issues related to ML systems
- Implementing AI efficiently, safely and ethically against our Responsible AI guidelines
- Continually upskilling on Bank and industry best practice
Application process
- End Date: Tuesday 04 November 2025
Our take
Lloyds Bank, part of Lloyds Banking Group, began operations back in 1765 and is nowadays one of the UK’s leading retail and commercial banks. As with many leading banks, the company has dealt with its share of controversy – including for its handling of PPI complaints in 2015, and the 2009 European Commission ruling that forced it to part ways with TSB – but it has nonetheless stood the test of time and worked to build back its public reputation in the wake of these setbacks.
Of the company’s 26 million customers, over 18 million of them are online, making it the largest UK digital bank. As part of its ongoing digital transformation, the company is seeking to put the cloud at the front of its services and systems, and has cited intentions to invest heavily in overhauling its current technology infrastructure. All this seeks to serve the modern banking customer, and to compete with the fast-increasing number of alternative banking options appearing on the market.
Recently, Lloyds Bank has shown great interest in facilitating innovation in the industry, joining as a partner on FinTech Action Labs (a FinTech accelerator programme) to bring its industry expertise to early-stage FinTechs. As well as investment in digital transformation and AI, the company is enhancing its wealth product and corporate banking offerings, as well as expanding its partnerships with digital banking companies.
Steph
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Company benefits
- Flex cash: This is 4% of your basic salary and can be used to spend on the benefits of your choice, or you can choose to take it as a cash top up in your monthly salary.
- A generous holiday allowance: You’ll be eligible for a minimum of 22 days holiday (excluding bank holidays), rising to 30 days based on length of service and grade.
- A flexible way of working: Whether you want flexibility over your location or when you log on, together we can create an approach that works for you and for the business.
- Family leave: Up to 63 weeks of maternity or adoption leave. Statutory maternity or adoption pay is available for 39 weeks, and 20 weeks will be enhanced to the equivalent of full pay. Partners can have six weeks of fully paid paternity leave.
- Health insurance: Our company funded Private Medical Benefit provides all colleagues with access to good quality medical care, including accommodation, nursing care and specialist advice.
- Colleague Offers: Get discounts on everything from electrical items to cinema tickets and weekly food shopping. You can share this benefit with up to ten family members or friends.
- Financial products: Take advantage of our great financial products, some at a discounted rate, including current accounts, home and car insurance and loans.
- Share plans: Participate in Sharematch and receive matching shares of up to £45 a month from the company, and you can choose to participate in Sharesave, our combined savings and share option plan.
- Pension: We offer a generous pension plan, with all joiners being automatically enrolled in our 'Your Tomorrow' scheme. You can decide how much you save and get a say in where your contributions are invested.
Company HQ
City of London, London, UK
Leadership
Charlie Nunn
(Group Chief Executive, not founder)Spent nine years at HSBC, including as Group Head of Wealth Management and Digital, and as CEO of Wealth and Personal Banking.
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