At a Glance
- Tasks: Lead the development of innovative AI validation tooling and collaborate with cross-functional teams.
- Company: Join Lloyds Banking Group, a leader in transforming banking through AI technology.
- Benefits: Enjoy a competitive salary, generous pension, flexible working, and 30 days holiday.
- Other info: Diverse and inclusive workplace with excellent growth opportunities.
- Why this job: Be part of a dynamic AI team making a real impact on the future of banking.
- Qualifications: 3+ years in AI/ML development, strong Python skills, and experience with cloud platforms.
The predicted salary is between 84051 - 93390 £ per year.
We support flexible working – click here for more information on flexible working options.
Flexible Working Options: Hybrid Working, Job Share
Salary Range: £84,051 - £93,390
Location(s): Halifax, Edinburgh, Leeds, Newport
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.
About this Opportunity
An excellent opportunity for a highly motivated candidate to join the newly established Markets & AI Modelling team within the Model Risk Office (MRO) at Lloyds Banking Group. This role offers an exciting opportunity to be part of a dynamic and constantly evolving AI team, providing considerable scope for personal and professional development. MRO will act as the front door for the business to advance their AI ambitions, requiring excellent collaboration with our CCOR teams (e.g., Data Risks, Cyber and Security, Supplier Management, Conduct).
You’ll join a dedicated team responsible for the development, implementation, and support of AI/GenAI tooling to enable scalable, efficient, and reliable validation and risk oversight.
What you’ll be doing:
- Lead the technical delivery of GenAI validation tooling, including planning development sprints, breaking down product requirements into technical tasks, and coordinating development work.
- Design and develop reusable platform components and frameworks for GenAI validation, testing, and monitoring.
- Build prototype pipelines and evaluation frameworks to support testing and validation of GenAI models across multiple use cases.
- Act as the lead developer for selected projects, delivering end-to-end solutions from architecture design through implementation.
- Review code and guide developers to ensure engineering quality and consistency across the tooling platform.
- Collaborate with validation and risk oversight teams to translate requirements into scalable technical solutions and platform capabilities.
- Monitor emerging technologies (e.g., LLMOps tooling, RAG pipelines, agent frameworks) to continuously improve the validation tooling environment.
What we’re looking for:
- 3+ years of professional experience developing or validating AI/ML or GenAI systems in a production or regulated environment.
- A degree in Computer Science, Data Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Strong Python programming experience building data or AI applications.
- Experience developing GenAI systems using LLM frameworks (e.g., LangChain, LangGraph, or similar).
- Experience working with LLM APIs and orchestration frameworks.
- Experience working with cloud platforms such as GCP, Azure, or AWS.
And any of these would be great:
- Experience building RAG pipelines or agent-based AI systems.
- Familiarity with cloud AI platforms such as GCP Vertex AI or similar.
- Experience developing backend services or APIs for AI or data applications.
- Experience building user interfaces or dashboards for AI or data applications.
- Experience working in regulated environments or familiarity with regulatory frameworks such as EU AI Act, GDPR, or SS1/23.
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 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.
AI Engineering Manager - Tech and Tooling in Halifax employer: Lloyds Banking Group
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the newly established Markets & AI Modelling team. With a strong commitment to employee growth, flexible working options, and a comprehensive benefits package including generous pension contributions and wellbeing initiatives, we empower our team members to thrive both personally and professionally in locations such as Halifax, Edinburgh, Leeds, and Newport.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Manager - Tech and Tooling in Halifax
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those already working at Lloyds Banking Group. A friendly chat can open doors and give you insider info on the role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your AI projects. This is your chance to demonstrate your Python prowess and any GenAI systems you've worked on.
✨Tip Number 3
Ace the interview by practising common questions related to AI engineering. Think about how you’d lead a project or tackle challenges in validation tooling. We want to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining our dynamic team.
We think you need these skills to ace AI Engineering Manager - Tech and Tooling in Halifax
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the AI Engineering Manager role. Highlight your experience with AI/ML systems and any relevant projects you've led. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you a perfect fit for this role. Be sure to mention specific tools or technologies you've worked with that align with our needs.
Showcase Your Technical Skills:Since this role involves technical delivery, don’t shy away from detailing your programming skills, especially in Python and any experience with LLM frameworks. We love seeing concrete examples of your work, so include links to projects if possible!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Lloyds Banking Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI and GenAI technologies, especially those mentioned in the job description. Brush up on your Python skills and be ready to discuss your experience with LLM frameworks and cloud platforms like GCP or AWS.
✨Showcase Your Leadership Skills
As an AI Engineering Manager, you'll need to demonstrate your ability to lead technical projects. Prepare examples of how you've successfully managed development sprints, coordinated teams, and delivered end-to-end solutions in previous roles.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving abilities and coding skills. Practice coding challenges related to AI applications and be ready to explain your thought process clearly during the interview.
✨Understand the Business Context
Familiarise yourself with Lloyds Banking Group's AI ambitions and how they relate to risk management. Be prepared to discuss how your technical expertise can contribute to their goals and improve validation tooling for AI models.
