At a Glance
- Tasks: Lead the development of innovative AI solutions and create operational MVPs for real-world challenges.
- Company: Join a forward-thinking tech company at the forefront of AI engineering.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting career prospects in a fast-paced, innovative environment.
- Why this job: Be part of a dynamic team shaping the future of AI technology and making a real impact.
- Qualifications: Experience in AI/ML, agile practices, and a passion for mentoring and collaboration.
The predicted salary is between 80000 - 100000 £ per year.
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 of 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: Experience delivering technology solutions in regulated industries (financial services preferred).
- Desirable: Experience of research, either in industry or as part of an advanced degree.
- Desirable: Experience developing technology solutions for customer‑facing platforms at scale (digital apps, contact centre/voice, colleague tooling).
- Desirable: Experience of partnering with Enterprise Architecture functions.
What the job involves
We are looking for Lead Engineers to join our new 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 out across the Group’s business areas. You will be working within the Data & AI Unit of the Chief Technology Office (CTO), where we define and lead the Group’s Data and AI technology strategy, serve as the Group’s design authority for Data and AI, and inspire, develop and incubate new AI‑driven products, capabilities and ways of working through applied research and product discovery. These are hands‑on roles, working at the forefront of Agentic AI adoption, which will draw upon your curiosity and problem‑solving abilities, your experience building and supporting technology solutions within production environments, and your knowledge of GenAI technology.
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.
Lead Engineer (Advanced AI Engineering) in Bristol employer: Lloyd's
As a Lead Engineer in our Advanced AI Engineering team, you will thrive in a dynamic and innovative environment that prioritises collaboration and professional growth. Our commitment to fostering a culture of mentorship and continuous learning ensures that you will have ample opportunities to develop your skills while working on cutting-edge AI solutions that drive real business impact. Located within the Chief Technology Office, you will be at the forefront of AI technology strategy, contributing to meaningful projects that shape the future of our organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Engineer (Advanced AI Engineering) in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Lead Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects and any operational MVPs you've developed. We want to see your hands-on experience and how you’ve tackled real-world challenges in complex environments.
✨Tip Number 3
Prepare for those interviews! Brush up on agile practices and be ready to discuss your experience with modern SDLC tooling. We’re looking for candidates who can collaborate effectively and mentor others, so be sure to highlight those experiences.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Lead Engineer (Advanced AI Engineering) in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your applied AI/ML experience and any work you've done in complex environments. We want to see how you fit into our vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI engineering and how your background aligns with our needs. Don’t forget to mention your experience with agile practices and modern SDLC tooling.
Showcase Team Collaboration:We love teamwork! In your application, share examples of how you've collaborated with others, mentored teammates, or engaged stakeholders. This will show us that you can thrive in our high-performing engineering team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Lloyd's
✨Know Your AI Inside Out
Make sure you brush up on your applied AI/ML and GenAI knowledge. Be ready to discuss established patterns like RAG and tool use, as well as how you evaluate tools and approaches. This will show that you’re not just familiar with the concepts but can also apply them in real-world scenarios.
✨Showcase Your Agile Experience
Since the role involves working in agile teams, be prepared to share specific examples of how you've used modern SDLC tooling in past projects. Highlight your experience in collaborating with team members and engaging stakeholders, as this will demonstrate your ability to thrive in a high-performing engineering environment.
✨Understand Operational Risks
Familiarise yourself with the requirements for managing operational and AI risks, especially in regulated environments. Be ready to discuss reliability, security, safety, and explainability, as these are crucial aspects of the role that interviewers will want to explore.
✨Prepare for Problem-Solving Scenarios
Expect to tackle some problem-solving scenarios during the interview. Think about challenges you've faced in previous roles and how you approached them. This will not only showcase your curiosity and problem-solving abilities but also your hands-on experience in building and supporting technology solutions.
