Machine Learning & AI Engineer

Machine Learning & AI Engineer

Salary: £71,000pa to £86,691pa plus an extensive benefits package.

Location: Bristol

Hours: 35 hours, full time.

Working Pattern: Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at our Bristol hub.

Job Description:

We're on an exciting journey to transform our Group and the way we shape finance for good. We're focusing on the future—investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone, including you! 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. 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.

Want to hear more? 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.

Your accountabilities will include:

• 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.

About you:

• 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.

About working for us:

Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want everyone to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from under-represented groups. We're disability confident. So, if you'd like reasonable adjustments to be made to our recruitment processes, just let us know.

So, if you're excited by the thought of becoming part of our team, get in touch.

We'd love to hear from you!

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.