Engineering Lead - Data, Analytics & AI

Lloyds Banking Group; Bristol; On-site; GBP 100,000 - 180,000; Full time

Benefits offered by this job

Pension up to 15%

Annual bonus

Share schemes

Discounted shopping

30 days holiday

Wellbeing initiatives

Parental leave

Job summary

Lloyds Banking Group is seeking an Engineering Lead to shape the data and AI ecosystem, guiding architecture and driving adoption of modern data and ML practices. You will mentor teams, align with Product and Architecture, and deliver scalable platforms that create measurable business value.

In this role you will partner across Data Science, Analytics and engineering to define roadmaps, raise engineering standards, and deliver customer-centric data products that power decisioning,

Qualifications

• Significant experience designing, building and operating large-scale distributed systems.
• Hands-on experience with Python, SQL and modern software engineering practices.
• Experience building large-scale batch and streaming data solutions using 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 and data product design.
• Experience designing data structures and models that support reporting, self-service analytics, ML and AI use cases.
• Understanding GenAI architecture patterns including vector databases, retrieval-augmented generation, embeddings 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.

Responsibilities

• 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.

Skills

Distributed systems

Python

SQL

Spark

Kafka

Kubernetes

MLOps

GenAI architectures

Data modelling

Cloud platforms

CI/CD

AI governance

Education

Bachelor's degree in CS or related field

Job description

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. We're looking for a passionate engineering leader who thrives on solving complex challenges, developing people, and delivering scalable platforms and products that create measurable business value. In this role you'll;

• 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. Sound like 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.

• 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.
  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.

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.

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