At a Glance
- Tasks: Transform AI ideas into impactful products for public services.
- Company: Join the UK Government's innovative AI incubator, i.AI.
- Benefits: Hybrid work, access to cutting-edge tech, and supportive team culture.
- Other info: Work in small teams with significant autonomy and government backing.
- Why this job: Make a real difference with AI that impacts millions.
- Qualifications: Strong software engineering skills and a passion for AI.
The predicted salary is between 59400 - 72600 £ per year.
What if your next AI project improved services used by millions of people? 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 Senior Applied AI Engineers to help take cutting-edge AI from experimentation to production.
You'll work in small, high-performing teams, building and deploying AI systems that solve real problems at national scale. This role is ideal for engineers who enjoy moving quickly from idea to implementation, combining strong software engineering skills with deep curiosity about the latest advances in AI. You'll help design evaluations, build production-grade AI systems, explore new modelling approaches, and work closely with product, design and policy experts to turn complex challenges into impactful products.
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?
- Build AI products with real-world impact at national scale
- Access frontier models, significant compute and unique government datasets
- Work alongside exceptional engineers, researchers and policymakers
- Own problems from idea through to deployment
- Small, empowered teams with startup pace and meaningful autonomy
- Backing from No.10 to build transformative AI solutions
London, Manchester or Bristol (Hybrid)
Applications open until positions are filled. We know great talent comes from a range of backgrounds and experiences. If you're excited about applying AI to meaningful challenges and building products that make a difference, we'd love to hear from you.
Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required - we will sponsor and support you.
Senior Applied AI Engineer in Bristol 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 Senior Applied AI Engineer in Bristol
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We think you need these skills to ace Senior Applied AI Engineer in Bristol
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.
