Senior AI Engineer in Leeds

Senior AI Engineer in Leeds

Leeds Full-Time 60000 - 80000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Build and evolve AI solutions for clients and internal use, driving real-world impact.
  • Company: Join Enablis, a forward-thinking AI-native consultancy in Leeds.
  • Benefits: Enjoy a competitive salary, hybrid work options, and opportunities for professional growth.
  • Other info: Dynamic role with a focus on practical AI applications and career advancement.
  • Why this job: Be at the forefront of AI transformation and shape the future of technology.
  • Qualifications: Strong software engineering skills and hands-on AI experience required.

The predicted salary is between 60000 - 80000 € per year.

At Enablis, we deliver complex, high-impact technology transformation. We’re now building a genuinely AI-native consultancy — not just experimenting, but embedding AI into how we deliver, how we operate, and how we grow.

This hire is central to taking our internal AI platform capability to the next level.

This is a hands-on AI Engineering role. You’ll be the technical engine behind our AI capability, building production-grade AI solutions for both clients and internal use.

You’ll work directly with our CTO and engineering leadership to extend and scale our internal AI platform while delivering cutting-edge AI solutions into real-world client environments.

What You’ll Be Doing:

  • Owning and evolving our internal AI platform
  • Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling
  • Designing internal AI tooling to accelerate delivery
  • Leading advanced technical AI sessions within our upskilling programme
  • Evaluating emerging AI tools, frameworks and protocols
  • Supporting pragmatic AI adoption across engineering teams

What We’re Looking For:

Essential:

  • Strong software engineering foundations (clean code, testing, CI/CD, production mindset)
  • Hands-on experience with LLMs (API integrations, prompt engineering, agent workflows, RAG systems)
  • Experience shipping AI-powered features to production
  • Proficiency in 2+ modern programming languages
  • Familiarity with evolving AI tooling (MCP, A2A, Threads or similar)
  • Consultancy or client-facing delivery experience

Desirable:

  • Vector databases, embeddings, fine-tuning
  • Cloud experience (AWS preferred)
  • Open-source contributions or visible AI side projects

This is not a research role. We’re looking for builders. If you want to help shape a consultancy that’s genuinely transforming around AI — we’d love to speak.

Senior AI Engineer in Leeds employer: Enablis

Enablis is an exceptional employer for Senior AI Engineers, offering a dynamic work environment in Leeds with a hybrid model that promotes flexibility and work-life balance. Our culture fosters innovation and collaboration, providing ample opportunities for professional growth through hands-on projects and direct engagement with leadership. Join us to be at the forefront of AI transformation, where your contributions will directly impact our cutting-edge solutions and the future of our consultancy.

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Contact Detail:

Enablis Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Engineer in Leeds

Tip Number 1

Network like a pro! Reach out to people in the AI field, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs or production-grade solutions. This will give you an edge and demonstrate your hands-on experience to potential employers.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common interview questions related to AI engineering and be ready to discuss your past projects in detail.

Tip Number 4

Don’t forget to 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 about their job search!

We think you need these skills to ace Senior AI Engineer in Leeds

Software Engineering
Clean Code
Testing
CI/CD
Production Mindset
LLM Experience
API Integrations

Some tips for your application 🫡

Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! Share specific examples of projects you've worked on or technologies you've explored. We want to see that you're not just skilled, but genuinely excited about the field.

Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your experience with LLMs, production-grade solutions, and any consultancy work. We love seeing how your unique background fits into our vision at Enablis!

Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff without unnecessary fluff.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Enablis!

How to prepare for a job interview at Enablis

Know Your AI Stuff

Make sure you brush up on your knowledge of LLMs, RAG systems, and the latest AI tools. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.

Showcase Your Coding Skills

Since strong software engineering foundations are essential, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean code and think about how you can explain your thought process clearly.

Talk About Your Client Experience

This role involves consultancy and client-facing delivery, so share specific examples of how you've successfully worked with clients in the past. Highlight any challenges you faced and how you overcame them to deliver AI-powered solutions.

Be Ready for Technical Discussions

Expect to engage in advanced technical discussions, especially around building AI solutions and internal tooling. Prepare to lead a mock session or present an idea, showcasing your ability to communicate complex concepts effectively.