At a Glance
- Tasks: Lead the development of innovative AI solutions and enhance system architectures.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with excellent career advancement opportunities.
- Why this job: Make a real impact in AI while collaborating with top industry experts.
- Qualifications: Experience in AI engineering and strong problem-solving skills required.
The predicted salary is between 80000 - 100000 £ per year.
Role Responsibilities
- Standardise and advance reusable AI solution patterns and reference architectures, improving cross-team consistency and delivery quality to enable more reliable and scalable product development.
- Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation.
- Analyse complex constraints across product, data, security, legal and operations, translating them into clear standards and recommendations to enable delivery of highly complex AI solutions.
- Enhance CI/CD pipelines for AI systems, introducing automation, traceability and controlled release processes to ensure safe and repeatable deployments.
- Define monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution.
- Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges.
- Advance digital and data-driven methods by shaping organisational practices and innovation efforts that produce measurable improvements in performance and efficiency.
- Collaborate with senior stakeholders to deliver analytics-led solutions, addressing regulatory challenges and generating organisational impact to contribute to improved decision-making and long‑term economic outcomes.
Location: London, Edinburgh, Leeds
Contract type: Full time, Permanent
Profession: AI, Digital, Financial Services
Working pattern: Flexible working, Hybrid
Closing date: 03/06/2026
Lead AI Engineer in Leeds employer: UK Regulators' Network
As a Lead AI Engineer at our company, you will thrive in a dynamic and innovative environment that champions collaboration and creativity. We offer flexible working arrangements and a strong commitment to employee growth, ensuring you have access to continuous learning opportunities and the latest technologies. Our inclusive work culture fosters diversity and encourages you to contribute to impactful AI solutions that drive meaningful change across various sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field, especially those who work at companies you're eyeing. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your AI projects. When you apply through our website, link to your work so hiring managers can see what you're capable of.
✨Tip Number 3
Prepare for interviews by diving deep into the latest AI trends and technologies. Be ready to discuss how you’d tackle real-world problems, especially around LLMs and CI/CD pipelines, as these are hot topics right now.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you top of mind. Plus, it shows your enthusiasm for the role and helps build a connection with the team.
We think you need these skills to ace Lead AI Engineer in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead AI Engineer role. Highlight your experience with AI solutions, technical architectures, and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex challenges in previous roles. We want to see your analytical thinking and how you've translated constraints into effective solutions.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at UK Regulators' Network
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI trends and technologies, especially those related to LLMs. Brush up on your knowledge of data pipelines, prompt orchestration, and agent workflows, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex constraints in previous projects. Be ready to explain how you translated these challenges into actionable solutions, particularly in areas like security and operations.
✨Demonstrate CI/CD Expertise
Familiarise yourself with enhancing CI/CD pipelines for AI systems. Be prepared to share your experiences with automation and controlled release processes, as this will show your ability to ensure safe and repeatable deployments.
✨Engage with Stakeholders
Think about how you’ve collaborated with senior stakeholders in the past. Be ready to discuss how you’ve delivered analytics-led solutions and addressed regulatory challenges, as this will highlight your impact on decision-making and organisational outcomes.
