Engineering Lead – Data, Analytics & AI

Lloyds Bank plc; West of England; On-site; GBP 93,000 - 109,000; Full time

Benefits offered by this job

A generous pension contribution up to

Annual bonus

Share schemes

30 days holiday + bank holidays

Wellbeing initiatives

Parental leave policies

Job summary

Lloyds Bank plc is seeking an Engineering Lead – Data, Analytics & AI in Bristol. The role focuses on defining the engineering roadmap, driving AI-enabled data products and modern data platforms to support reporting, ML and GenAI workloads.

The candidate will mentor teams, advance AI governance, and ensure security and privacy by design, while delivering scalable data solutions in a hybrid working environment.

Qualifications

• Significant experience designing, building and operating large-scale distributed systems and data platforms.
• Hands-on experience with Python, SQL and modern software practices.
• Experience with batch and streaming data solutions (Spark, Kafka, Flink).
• Knowledge of data warehouses, data lakes and lakehouse architectures.
• Understanding of MLOps, AI governance and GenAI patterns.
• Ability to influence technical and non-technical audiences.

Responsibilities

• Define and execute the engineering roadmap with Product, Architecture, Data Science and business stakeholders.
• Drive technical strategy and engineering excellence across data, analytics and AI.
• Enable customer intelligence, personalisation, decisioning and conversational AI via data products.
• Design and implement reusable data products and analytics capabilities for reporting and ML workloads.
• Lead adoption of AI Engineering, MLOps and LLMOps across development and deployment pipelines.
• Champion security, privacy and governance by design.
• Identify opportunities to improve efficiency, reliability and developer productivity through platform engineering.
• Mentor and develop engineering teams to foster innovation and excellence.

Skills

Distributed systems design

Python

SQL

Data architecture

Cloud platforms (GCP/AWS/Azure)

Communication skills

Tools

Spark

Kafka

Flink

Beam

Kubernetes

CI/CD

Job description

End Date Wednesday 02 September 2026

Salary Range £92,701 - £109,060

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

Flexible Working Options: Hybrid Working, Job Share

JOB TITLE: Engineering Lead – Data, Analytics & AI

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

• 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.

Why join us?

From building a truly sustainable business to creating a place where people love to work, we’re looking for colleagues who are up for the challenge, who love to push boundaries and can make change happen.

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.

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 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. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.

Benefits

• 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?

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.