At a Glance
- Tasks: Lead AI projects, develop innovative solutions, and mentor a high-performing team.
- Company: Join a forward-thinking tech company shaping the future of AI.
- Benefits: Generous pension, performance bonuses, 30 days holiday, and flexible lifestyle benefits.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact in a dynamic environment.
- Qualifications: Experience in AI/ML, agile practices, and a passion for problem-solving.
The predicted salary is between 69624 - 105000 £ per year.
Salary: £69,624 - £105,000 (depending on location and experience).
Locations: Bristol, Edinburgh, Leeds, London, or Manchester.
Working pattern: Hybrid, at least two days per week (40%) at the office.
About this Opportunity
We are looking for Lead Engineers to join our Advanced AI Engineering team. You will combine applied research and solution development to create effective solutions to critical AI business challenges, building operational MVPs that our engineering teams can scale across the Group’s business areas. You will work within the Data & AI Unit of the Chief Technology Office (CTO), defining and leading the Group’s Data and AI technology strategy, serving as the design authority for Data and AI, and driving new AI‑driven products and capabilities through applied research and product discovery. These are hands‑on roles at the forefront of Agentic AI adoption, requiring curiosity, problem‑solving, production‑level technology experience, and GenAI knowledge.
Responsibilities
- Support ideation activities, working with team members and business stakeholders to explore the art of the possible and identify areas of challenge and opportunity.
- Evaluate AI methods and technologies, conducting experiments and building proof‑of‑concepts.
- Develop operational MVPs and support their delivery to business platforms and engineering teams.
Core Requirements
- Proven experience engineering technology solutions in complex environments and supporting production operations.
- Applied AI/ML and GenAI experience with knowledge of established patterns (RAG, tool use, guardrails, evaluation, agents) and an ability to evaluate tools and approaches.
- Experience working in teams employing agile practices and using modern SDLC tooling.
- A solid understanding of requirements for managing operational and AI risk in a regulated environment, including reliability, security, safety and explainability.
- Ability to collaborate as part of a high‑performing engineering team – mentoring and supporting others, and engaging stakeholders on technical direction.
Desirable Qualifications
- Experience delivering technology solutions in regulated industries (financial services preferred).
- Experience of research, either in industry or as part of an advanced degree.
- Experience developing technology solutions for customer‑facing platforms at scale (digital apps, contact centre/voice, colleague tooling).
- Experience partnering with Enterprise Architecture functions.
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.
Diversity and Inclusion
We welcome applications from all backgrounds, identities and cultures. We’re disability confident and can provide reasonable adjustments to our recruitment processes if needed.
Lead Engineer – Advanced AI Engineering employer: Lloyds Bank plc
Join a forward-thinking company that prioritises innovation and employee growth, offering a dynamic work culture where collaboration and creativity thrive. With generous benefits including a substantial pension contribution, flexible working arrangements, and a commitment to diversity and inclusion, this role as Lead Engineer in Advanced AI Engineering provides an exciting opportunity to shape the future of AI technology in a supportive environment across major UK cities.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Engineer – Advanced AI Engineering
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in AI. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those related to AI and engineering. This will give potential employers a taste of your capabilities and how you tackle real-world problems.
✨Ace the Interview
Prepare for your interviews by practising common questions and scenarios related to AI engineering. Be ready to discuss your past experiences and how they relate to the role. Remember, it’s not just about technical skills; they want to see your problem-solving approach too!
✨Apply Through Our Website
We encourage you to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest roles and updates there, so keep an eye out!
We think you need these skills to ace Lead Engineer – Advanced AI Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Lead Engineer role. Highlight your experience with AI/ML and any hands-on projects you've led. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you’ve tackled challenges in previous roles. Let us know why you’re excited about joining StudySmarter and what you can bring to the team.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—give us examples of how you’ve used them to solve real-world problems. We love seeing candidates who can think critically and innovate!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Lloyds Bank plc
✨Know Your AI Stuff
Make sure you brush up on your applied AI and GenAI knowledge. Be ready to discuss established patterns like RAG and tool use, as well as how you've evaluated tools in the past. This will show that you're not just familiar with the concepts but can also apply them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex engineering challenges in previous roles. Think about specific projects where you developed operational MVPs or conducted experiments. This will demonstrate your hands-on experience and ability to innovate under pressure.
✨Emphasise Team Collaboration
Since this role involves working within high-performing teams, be ready to talk about your experience in agile environments. Share stories about how you've mentored others or engaged stakeholders on technical direction. This will highlight your collaborative spirit and leadership potential.
✨Understand the Regulatory Landscape
Familiarise yourself with the requirements for managing operational and AI risk in regulated environments. Be prepared to discuss how you've ensured reliability, security, and explainability in your past projects. This knowledge is crucial for a role that operates within such frameworks.
