Artificial Intelligence Engineer in London

Artificial Intelligence Engineer in London

London Full-Time 70000 - 120000 £ / year (est.) Home office (partial)
Eden Smith Group

At a Glance

  • Tasks: Design and deliver innovative AI solutions that make a real impact.
  • Company: Join a leading global energy software business with a start-up vibe.
  • Benefits: Competitive salary, hybrid work model, and access to cutting-edge tools.
  • Other info: Opportunity to shape the future of AI in a dynamic environment.
  • Why this job: Be part of a transformative AI team with significant visibility and influence.
  • Qualifications: Experience in AI/ML solutions and a passion for innovation.

The predicted salary is between 70000 - 120000 £ per year.

AI Engineers – Build What Others Only Talk About

We have partnered with a market-leading, global energy software business that's assembling an elite AI "Spark Team".

The Mission

Design and deliver cutting-edge AI solutions that actually move the needle – not just prototypes that sit on a shelf. You'll be working at the intersection of:

  • Large Language Models & AI Agents
  • AI Frameworks and Solutions for Clients
  • Enterprise-scale AI adoption

This is a role where strategy meets hands-on engineering – building scalable AI systems while shaping how an entire organisation leverages AI.

Why This Role Stands Out

  • Backed by a listed, globally recognised company (real stability)
  • Operating with the speed, funding & innovation mindset of a start-up
  • Significant investment – they want the best tools, people, and ideas
  • Building a brand-new AI function with huge visibility and impact

What They're Looking For

  • Proven experience designing & deploying AI/ML solutions
  • Expert knowledge of LLMs, AI frameworks & agent-based systems
  • Experience in building RAG Systems
  • Cloud expertise across AWS / Azure / GCP
  • Ability to turn complex problems into scalable architectures
  • Passion for AI innovation (this isn't a "maintenance" role)
  • Motivated by Innovation and a desire to build

Location: London – 2-3 Days on-site

Salary: £70,000 – £120,000

If you've been living and breathing AI and want to be part of something genuinely transformative – with the backing to do it properly – this is your chance.

Interested? Apply within or reach out to Jake Carrington for a confidential conversation.

(Due to a high volume of applications, we politely ask applicants to refrain from calling the office. Your application will be considered through this advertisement.)

Artificial Intelligence Engineer in London employer: Eden Smith Group

Join a pioneering global energy software business that is not only shaping the future of AI but also fostering a vibrant and innovative work culture. With significant investment in cutting-edge tools and a start-up mindset, employees are empowered to design impactful AI solutions while enjoying ample opportunities for professional growth in a hybrid London setting. This role offers the unique chance to be part of a brand-new AI function with high visibility, ensuring your contributions truly make a difference.

Eden Smith Group

Contact Details:

Eden Smith Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Artificial Intelligence Engineer in London

Tip Number 1

Network like a pro! Connect with people in the AI field on LinkedIn or at industry events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and scalable architectures. This will give potential employers a taste of what you can bring to their Spark Team.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled complex AI challenges in the past and how you can contribute to innovative solutions.

Tip Number 4

Don't just apply anywhere – focus on companies that align with your passion for AI innovation. Check out our website for opportunities that excite you, and make sure to tailor your approach to each role!

We think you need these skills to ace Artificial Intelligence Engineer in London

AI/ML Solutions Design
Large Language Models (LLMs)
AI Frameworks
Agent-Based Systems
RAG Systems Development
Cloud Expertise (AWS, Azure, GCP)
Scalable Architecture Design

Some tips for your application 🫡

Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see that you’re not just ticking boxes but genuinely excited about building innovative solutions that make a difference.

Tailor Your Experience:Make sure to highlight your relevant experience with AI/ML solutions and large language models. We’re looking for specific examples of how you've tackled complex problems and built scalable architectures – so don’t hold back!

Keep It Clear and Concise:While we love a good story, keep your application clear and to the point. Use bullet points where possible to make it easy for us to see your skills and achievements at a glance.

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 this exciting opportunity in our new AI function!

How to prepare for a job interview at Eden Smith Group

Know Your AI Stuff

Make sure you brush up on your knowledge of large language models, AI frameworks, and agent-based systems. Be ready to discuss specific projects you've worked on and how they relate to the role. This is your chance to show off your expertise!

Show Your Passion for Innovation

This isn't just about maintaining existing systems; it's about building something new and exciting. Share examples of how you've driven innovation in your previous roles and what inspires you about AI. Let them see your enthusiasm!

Prepare for Problem-Solving Questions

Expect to tackle complex problems during the interview. Think through some scenarios where you've turned challenges into scalable architectures. Practise articulating your thought process clearly, as this will demonstrate your engineering mindset.

Familiarise Yourself with Cloud Platforms

Since cloud expertise is key for this role, make sure you're comfortable discussing AWS, Azure, or GCP. Be prepared to explain how you've used these platforms in your past projects and how they can be leveraged for AI solutions.