At a Glance
- Tasks: Lead AI research and develop cutting-edge models for autonomous systems.
- Company: Fast-growing defence tech company with a focus on innovation.
- Benefits: Competitive salary, equity, private healthcare, and flexible work options.
- Why this job: Shape the future of AI and tackle real-world challenges in an exciting environment.
- Qualifications: 5+ years in AI/ML, strong programming skills, and leadership experience.
- Other info: Diverse team culture with opportunities for career growth and impact.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Lead AI Research Engineer
📍 London, UK (Hybrid – primarily office-based)
About Us
We’re a fast-growing defence technology company building advanced software and AI to power the autonomous age. Our mission is to transform how organisations collaborate with sensors, robots, and autonomous systems — and how they use the data they generate.
We’re an ambitious, well-funded team of exceptional engineers who value autonomy, ownership, and technical excellence. From day one, you’ll have real influence over our technology and its direction.
The Opportunity
As Lead AI Research Engineer, you’ll shape our AI strategy and guide a talented team of engineers developing world-class AI systems. You’ll combine technical leadership with hands‑on development — building models for perception, control, and multi‑modal understanding that run both in the cloud and on edge devices such as drones and autonomous vehicles.
You’ll play a key role in solving complex real‑world challenges around data, model behaviour, and deployment in demanding environments.
What We’re Looking For
Essential
- Experience managing and mentoring AI/ML engineers
- MSc (or equivalent) in AI, ML, Robotics, or Computer Science
- 5+ years of experience applying modern ML techniques
- Strong programming ability (Python, Rust, C++, or Java)
- Excellent communication and problem‑solving skills
Nice to Have
- PhD in Computer Vision, Machine Learning, or Robotics
- Publications in leading AI/ML conferences or journals
- MLOps and production deployment experience
- Understanding of multi‑sensor data fusion and optimisation for resource‑constrained systems
- Experience with synthetic data or large‑scale dataset management
We welcome applicants from diverse backgrounds — even if you don’t tick every box.
Additional Details
- UK Security Check (SC) clearance or eligibility required
- Primarily office‑based, with flexibility for remote work when needed
- Competitive salary, meaningful equity, and excellent benefits (pension, private healthcare, daily meals, relocation and visa support)
Join us to help define the autonomous age — and make technology that truly matters.
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Artificial Intelligence Research Engineer employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Research Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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, research, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and real-world problem-solving scenarios. Practice explaining your thought process clearly, as communication is key in this field.
✨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 genuinely interested in joining our mission.
We think you need these skills to ace Artificial Intelligence Research Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the job description. Highlight your experience in AI, ML, and any relevant projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: Since we’re looking for someone with strong programming abilities, make sure to include any relevant coding projects or contributions to open-source work. We love seeing practical applications of your skills, so don’t hold back!
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 shows you’re keen to join our team!
How to prepare for a job interview at Understanding Recruitment
✨Know Your AI Stuff
Make sure you brush up on the latest trends and techniques in AI and ML. Be ready to discuss your experience with modern ML methods and how you've applied them in real-world scenarios. This is your chance to show off your technical chops!
✨Showcase Your Leadership Skills
As a Lead AI Research Engineer, you'll need to demonstrate your ability to manage and mentor a team. Prepare examples of how you've led projects or guided engineers in the past. Highlight your communication skills and how you foster collaboration.
✨Get Hands-On with Coding
Expect some coding challenges during the interview. Brush up on your programming skills in Python, Rust, C++, or Java. Practice solving problems on platforms like LeetCode or HackerRank to ensure you're sharp and ready to tackle any technical questions.
✨Understand the Company’s Mission
Familiarise yourself with the company's goals and how they relate to AI and autonomous systems. Be prepared to discuss how your vision aligns with theirs and how you can contribute to their mission of transforming collaboration with technology.