AI Lead Engineer in London

AI Lead Engineer in London

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Higher - AI recruitment

At a Glance

  • Tasks: Lead the development of autonomous AI systems that solve complex enterprise challenges.
  • Company: A leading enterprise AI company in London with a focus on innovation.
  • Benefits: 25 days holiday, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a talented team, including PhD holders.
  • Why this job: Join a team tackling real-world problems with cutting-edge AI technology.
  • Qualifications: 5+ years in AI systems, strong design skills, and proficiency in Python and cloud platforms.

The predicted salary is between 80000 - 100000 £ per year.

Higher is working with one of the most technically serious enterprise AI companies in London to hire 2 Lead AI Engineers. They are solving one of the hardest problems in enterprise software today. Most AI in the enterprise is cosmetic. This company is building something different: Digital Workers, autonomous AI systems that execute complex knowledge workflows end to end, with human-level reliability. Founded nearly 10 years ago, with over $50m in funding from some of the UK's most prominent VCs, they've built a platform that actually runs in production at global scale.

As Lead AI Engineer, you will embed directly with enterprise clients, untangle their most complex operational workflows, and architect the agentic systems that automate them. The team is 45 people, nearly 20% with PhDs. They come together at their West London office 1-2 times per week.

  • 5+ years hands-on experience building and deploying production-grade AI systems using LLMs, RAG pipelines, MCPs and agentic workflows
  • Strong system design and architecture skills, with the ability to turn ambiguous business problems into scalable AI solutions
  • Solid understanding of evaluation, reliability and performance in production AI systems
  • Proficient in Python, modern LLM frameworks, orchestration tooling, and cloud platforms (AWS, GCP or Azure)

25 days holiday plus

AI Lead Engineer in London employer: Higher - AI recruitment

This company stands out as an exceptional employer in the heart of London, offering a dynamic work culture that fosters innovation and collaboration among a highly skilled team. With a commitment to employee growth, they provide ample opportunities for professional development and hands-on experience with cutting-edge AI technologies. The unique advantage of working here includes engaging directly with enterprise clients to solve complex challenges, all while enjoying a generous benefits package that includes 25 days of holiday.
Higher - AI recruitment

Contact Detail:

Higher - AI recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Lead Engineer in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. You never know who might give you a heads-up about an opportunity or refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and agentic workflows. This will help you stand out and demonstrate your hands-on experience in building production-grade AI systems.

✨Tip Number 3

Prepare for technical interviews by brushing up on system design and architecture. Be ready to discuss how you've tackled ambiguous business problems and turned them into scalable AI solutions. Practice makes perfect!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us. Don’t miss out on this chance!

We think you need these skills to ace AI Lead Engineer in London

AI System Design
Production-Grade AI Development
Large Language Models (LLMs)
RAG Pipelines
Agentic Workflows
System Architecture
Problem Solving
Python Programming
Modern LLM Frameworks
Orchestration Tooling
Cloud Platforms (AWS, GCP, Azure)
Evaluation of AI Systems
Reliability in AI Systems
Performance Optimisation

Some tips for your application 🫡

Show Off Your Experience: When you're writing your application, make sure to highlight your hands-on experience with AI systems. We want to see how you've tackled complex problems and what tools you've used, especially with LLMs and cloud platforms. Don't hold back!

Be Clear and Concise: We appreciate clarity! Make your application easy to read by being straightforward and to the point. Use bullet points if it helps, and ensure you’re addressing the key skills mentioned in the job description.

Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that relate directly to the responsibilities of a Lead AI Engineer. This shows us you’re genuinely interested and have done your homework.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Higher - AI recruitment

✨Know Your AI Stuff

Make sure you brush up on your knowledge of LLMs, RAG pipelines, and agentic workflows. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios. This company is looking for someone who can turn complex problems into scalable solutions, so be prepared to showcase your technical expertise.

✨Understand Their Mission

Dive deep into the company's mission of creating Digital Workers that execute complex workflows. Familiarise yourself with their platform and think about how your skills can contribute to their goals. Showing genuine interest in their work will set you apart from other candidates.

✨Prepare for System Design Questions

Expect to tackle system design questions during your interview. Practice articulating how you would approach designing a production-grade AI system. Think about scalability, reliability, and performance, and be ready to explain your thought process clearly and confidently.

✨Showcase Your Collaboration Skills

Since you'll be embedding directly with enterprise clients, it's crucial to demonstrate your ability to work collaboratively. Share examples of past projects where you successfully collaborated with cross-functional teams or clients to solve complex problems. Highlighting your teamwork skills will show that you're a great fit for their culture.

AI Lead Engineer in London
Higher - AI recruitment
Location: London

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