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:

• Build production-grade AI and machine learning solutions that make a real difference for millions of customers.
• Join a growing team delivering machine learning, generative AI and agentic AI solutions across Lloyds Banking Group's Consumer business.
• Work closely with data scientists, engineers and business stakeholders to take innovative ideas from experimentation through to live production.
• Develop and maintain ML and AI applications in Python, designing and integrating solutions with cloud platforms, APIs, CI/CD pipelines and monitoring tools.
• Influence technical decisions, advocate for engineering best practice and shape the standards, architecture and culture of the team.
• Collaborate across platform, architecture, governance and business teams to deliver secure, scalable and well-governed solutions.
• Contribute to incident management, continuous improvement and the future direction of AI engineering within the Group.

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.
• 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: 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.

Benefits and Perks:

• 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

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'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.