Senior Machine Learning & AI Engineer - Consumer Data Science

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.

• 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.

• 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 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.