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For Companies At a Glance
- 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 vibe within an award-winning company, 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 in Manchester employer: Uinsure
Contact Detail:
Uinsure Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate / Apprentice AI Developer in Manchester
✨Tip Number 1
Get your networking game on! Connect with people in the industry, especially those at Uinsure. LinkedIn is a great place to start. Drop them a message, ask about their experiences, and show genuine interest in what they do.
✨Tip Number 2
Prepare for the interview like it’s a sprint! Research Uinsure’s AI Lab, understand their vision, and think about how you can contribute. Be ready to discuss your own projects and how they relate to the role.
✨Tip Number 3
Show off your skills! If you’ve got any side projects or personal builds involving AI, bring them up during your conversations. It’s a great way to demonstrate your passion and hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at Uinsure and being part of the AI revolution.
We think you need these skills to ace Graduate / Apprentice AI Developer in Manchester
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 role. Highlight relevant skills and experiences that align with what we're looking for in a Graduate / Apprentice AI Developer. 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 applications that are easy to read and get straight to the good stuff—your skills and experiences!
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 makes the whole process smoother for everyone involved.
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 your genuine interest and initiative.
✨Understand the Delivery Lifecycle
Make sure you grasp the full delivery lifecycle that the Lab operates within. Be prepared to talk about how you can contribute at each stage, from requirements gathering to deployment and monitoring. This will demonstrate your readiness to jump right into the role.
✨Embrace the Growth Mindset
Showcase your willingness to learn and adapt. Share examples of how you've responded to feedback in the past and how you approach challenges. This aligns perfectly with the Lab's culture and will highlight your potential as a valuable team member.
✨Ask Thoughtful Questions
Prepare some insightful questions about the Lab's operations and future projects. This not only shows your enthusiasm but also your understanding of the role's impact on Uinsure's vision. Remember, no question is too basic, so don’t hesitate to ask!