At a Glance
- Tasks: Shape AI applications that transform public services across the UK.
- Company: Join an innovative incubator for AI within the UK Government.
- Benefits: Hybrid work, access to cutting-edge tech, and impactful projects.
- Other info: Collaborate with exceptional engineers and policymakers in a dynamic environment.
- Why this job: Make a real difference by improving services for millions with AI.
- Qualifications: Deep technical expertise in AI and strong product judgement required.
The predicted salary is between 72000 - 88000 £ per year.
What if you could shape how AI is applied across an entire country? At i.AI, we're building AI products inside the UK Government that are transforming public services across health, education, planning and beyond. We're looking for Staff Applied AI Engineers to tackle some of the most ambitious AI challenges in government.
You'll combine deep technical expertise with strong product judgement, helping define technical direction, identify high-value opportunities, and build AI systems that deliver meaningful impact at national scale. You'll work at the frontier of applied AI, evaluating emerging techniques, shaping architectural decisions, and driving the development of production-grade AI products. Alongside hands-on engineering, you'll mentor others, influence technical strategy, and help teams navigate complex trade-offs around performance, safety, scalability and deployment.
Our stack: Python, TypeScript, AWS, Azure, GCP, PyTorch, LangGraph, LangChain, DSPy, Langfuse, Inspect and access to the latest frontier models.
What makes this role different?
- Influence how frontier AI is applied across government
- Build products that improve services used by millions of people
- Access frontier models, significant compute and unique datasets
- Work alongside exceptional engineers, researchers and policymakers
- Own complex technical problems from concept to deployment
- Help shape engineering standards, AI strategy and technical direction
London, Manchester or Bristol (Hybrid)
Applications open until positions are filled. We know exceptional engineers come from a variety of backgrounds. If you're excited about solving meaningful problems with AI and helping define what's possible in the public sector, we'd love to hear from you.
Staff Applied AI Engineer in London employer: Incubator for Artificial Intelligence
As a Lead Full Stack Engineer at the Incubator for AI, you will be part of a forward-thinking team dedicated to enhancing public services through innovative technology. With a strong emphasis on employee growth, you will have the opportunity to shape product strategy and mentor fellow engineers in a collaborative hybrid work environment across vibrant cities like London, Manchester, or Bristol. Enjoy competitive pay, a substantial pension plan, and the chance to work with cutting-edge AI models, making this an exceptional place for those seeking meaningful and impactful employment.
Contact Details:
Incubator for Artificial Intelligence Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Staff Applied AI Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Incubator for Artificial Intelligence or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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We think you need these skills to ace Staff Applied AI Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Incubator for Artificial Intelligence.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Incubator for Artificial Intelligence and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Incubator for Artificial Intelligence
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Incubator for Artificial Intelligence uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
