Engineering Lead – Data, Analytics & AI

We support flexible working – click here for more information on flexible working options.

Flexible Working Options: Hybrid Working, Job Share

LOCATION(S): Bristol

HOURS: Full-time/Part-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:

• As an Engineering Lead, you'll combine deep technical expertise with strategic thinking to shape the future of our data and AI ecosystem.
• You'll lead engineering teams, influence architecture decisions, and drive the adoption of modern data, analytics and AI engineering practices across the organisation.
• Define and execute the engineering roadmap in partnership with Product, Architecture, Data Science and business stakeholders.
• Drive technical strategy and engineering excellence across data, analytics and AI solutions.
• Enable customer intelligence, personalisation, decisioning and conversational AI use cases through modern data products and data platforms.
• Design and implement reusable data products, semantic models and analytics capabilities that support reporting, machine learning and GenAI workloads.
• Drive adoption of AI Engineering, MLOps and LLMOps best practices across development, deployment, monitoring and governance.
• Champion security, resilience, privacy, Responsible AI and governance by design.
• Identify opportunities to improve efficiency, reliability and developer productivity through automation and platform engineering.
• Mentor, coach and develop engineering teams, fostering a culture of innovation, continuous learning and engineering excellence.

What we’re looking for:

• Significant experience designing, building and operating large-scale distributed systems, data platforms and cloud-native architectures.
• Hands-on experience with Python, SQL and modern software engineering practices.
• Experience building large-scale batch and streaming data solutions using technologies such as Spark, Kafka, Flink, Beam or equivalent.
• Deep knowledge of modern data architectures including data warehouses, data lakes and lakehouse platforms.
• Strong understanding of analytical data modelling, dimensional modelling, semantic modelling and data product design.
• Experience designing data structures and models that support reporting, self-service analytics, machine learning and AI use cases.
• Understanding of modern GenAI architecture patterns including vector databases, retrieval-augmented generation (RAG), embeddings, agentic workflows and LLM orchestration frameworks.
• Knowledge of MLOps, model lifecycle management, observability and AI governance practices.
• Experience with cloud platforms such as GCP, Azure or AWS and associated platform services.
• Strong understanding of containers, Kubernetes, CI/CD, infrastructure automation and DevSecOps practices.
• Excellent communication skills with the ability to influence technical and non-technical audiences.

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, and we’re committed to creating an environment in which everyone can thrive, learn and develop.
• We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns.
• We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.

We also offer a wide-ranging benefits package, which includes:

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

Ready to make an impact? Apply today.

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.

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.