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- Tasks: Join our AI Lab to develop innovative insurance solutions using cutting-edge technology.
- Company: Uinsure is revolutionising the insurance industry in the UK with a dynamic team.
- Benefits: Enjoy a competitive salary, private health, generous holiday, and a dedicated tooling budget.
- Other info: Experience a startup culture within an award-winning business, with excellent growth opportunities.
- Why this job: Make a real impact by working on live AI-powered projects that reach customers.
- Qualifications: Open to graduates and apprentices with a passion for AI and coding skills.
The predicted salary is between 25000 - 30000 £ per year.
Uinsure's vision is simple: change the way insurance is bought in the UK. We are already doing it, and now we are disrupting ourselves to improve the speed, intelligence and simplicity of everything we build. The AI Lab is our next digital factory to help us get there.
HOW THE AI LAB WORKS
The colleagues powering Uinsure today are the reason we can do this. The platform they have built is what the Lab stands on. The Lab operates in cells: small, autonomous delivery units, each combining human engineers with AI workers. A cell owns the full delivery lifecycle end to end: requirements, design, build, QA, infrastructure, deployment, monitoring, live running. AI workers participate at every stage, not just code generation. Engineers in the Lab are orchestrating, directing and quality-controlling AI systems across the entire product lifecycle. You will build things that reach real customers. Fast.
THE MOONSHOT
The Lab exists to step-change how Uinsure operates across every dimension. Not incremental improvement. A fundamentally different way of building and running a platform. Speed to market Features that take quarters will ship in days or weeks. Daily iteration replaces release cycles. The Lab's job is to compress the time between idea and live product to a point that changes what is commercially possible.
Smarter operations Every process the business runs today was designed before AI existed. The Lab looks for opportunities to optimise, automate and simplify: faster decisions, fewer handoffs, greater efficiency across the platform.
Throughput at scale AI workers multiply the output of every human in the cell. The goal is not to do the same work faster, it is to do exponentially more of it, compounding capability back into the business with every cycle.
WHAT MAKES THIS DIFFERENT
This is not a maintenance role, an agile programme, or a consultancy engagement. It is a startup operating inside an award-winning regulated business. The Lab's work ships to real customers. Uinsure already has live AI-powered insurance journeys in market. That is the bar. You will have genuine autonomy, a short feedback loop, and direct visibility of impact. The Lab moves deliberately ahead of the wider organisation, to forge new ground for everyone who follows.
WHAT YOU'LL DO
- Work within your cell's sprint cycle from the start, picking up real backlog items, writing real code, and shipping real features.
- Learn to direct and evaluate AI workers alongside your AI Engineer, understanding when to trust their output and when to push back.
- Contribute to the full delivery lifecycle: you are not just a coder. You will be involved in requirements, testing, deployment and monitoring.
- Write and run tests for the code you and the AI workers produce, supported by the QA Standards Lead.
- Build fluency in the Lab's AI-native tooling stack: Cursor, Claude, coding agents, and the supporting infrastructure.
- Contribute to the Lab's pattern library. Document what you learn, share what works, flag what doesn't.
- Participate in sprint ceremonies: standups, reviews and retros are part of how the Lab learns and improves.
- Ask questions. The Lab's culture is built on direct, honest communication. No question is too basic if you haven't asked it yet.
WHAT GOOD LOOKS LIKE
- Within 4 weeks: you can pick up a well-defined backlog item and ship it with AI worker support.
- Within 12 weeks: you are a productive, largely independent member of the cell cadence.
- Within 6 months: you are developing a specialism (agent orchestration, testing, frontend, or a domain area) and contributing to the Lab's standards.
WHAT WE'RE LOOKING FOR
We are open to graduates and apprentices. The route matters less than the mindset. Someone who has taught themselves AI tools in their own time: side projects, personal builds, tinkering. A formal qualification is welcome but not required. Real AI problem-solving or coding ability, assessed in the interview process. Genuine interest in AI and how it is changing software development, in practice not just in theory. Growth mindset: you want to be pushed, you respond to feedback, you are comfortable not knowing things yet.
Working model and location
Location: Spinningfields, Manchester On-site: Minimum 1 day per fortnight, otherwise remote Cadence: Weekly sprints · Daily standups · Fortnightly Lab retrospectives
Benefits
Uinsure offers a competitive package including company pension, private health (Vitality), 25 days holiday, and regular team events. AI Lab roles include a dedicated tooling budget covering laptops, hardware, AI-native stack subscriptions and usage costs.
SFIA Skills Mapping
Programming and Software Dev: L2-3 Core coding, developing ability to write production-quality code with AI support AI and Machine Learning Eng: L2-3 Learning to direct AI workers, prompt fundamentals, output evaluation basics Testing: L2 Writing and running tests, supported by QA Standards Lead Data Analysis: L2 Basic analysis of AI outputs, debugging with data
Salary band: £25,000 – £30,000 p.a.
Graduate / Apprentice AI Developer employer: Uinsure
Contact Detail:
Uinsure Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate / Apprentice AI Developer
✨Tip Number 1
Get to know the company inside out! Research Uinsure's mission and values, and think about how your skills align with their vision. This will help you stand out in interviews and show that you're genuinely interested in being part of their AI Lab.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Having a chat with someone already in the Lab can give you insider tips and might even lead to a referral. Plus, it shows initiative!
✨Tip Number 3
Prepare for hands-on assessments! Since you'll be working with AI tools and coding, brush up on your programming skills and be ready to demonstrate your problem-solving abilities. Practice coding challenges and get familiar with AI concepts.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows that you’re proactive and serious about joining the team at Uinsure. Don’t miss out on this opportunity!
We think you need these skills to ace Graduate / Apprentice AI Developer
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! Share any personal projects or experiences that demonstrate your interest and how you've engaged with AI tools. We love seeing candidates who are genuinely excited about the field.
Tailor Your Application: Make sure to customise your application to reflect the specifics of the Graduate / Apprentice AI Developer role. Highlight relevant skills and experiences that align with what we're looking for. This shows us you’ve done your homework and are serious about joining our team!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end!
How to prepare for a job interview at Uinsure
✨Know Your AI Tools
Familiarise yourself with the AI tools mentioned in the job description, like Cursor and Claude. Be ready to discuss any personal projects or experiences you've had using these tools, as it shows genuine interest and initiative.
✨Understand the Full Delivery Lifecycle
Make sure you grasp the concept of the full delivery lifecycle, from requirements to deployment. Prepare examples of how you've contributed to similar processes in the past, even if it's from academic projects or internships.
✨Embrace a Growth Mindset
Show that you're open to learning and feedback. Think of instances where you've faced challenges and how you overcame them. This will resonate well with their emphasis on autonomy and continuous improvement.
✨Ask Thoughtful Questions
Prepare some insightful questions about the Lab's operations and culture. This not only demonstrates your interest but also helps you gauge if this is the right fit for you. Remember, no question is too basic!