At a Glance
- Tasks: Lead AI initiatives from scratch, prioritising use cases and delivering innovative solutions.
- Company: Established London insurer embracing AI for transformative change.
- Benefits: Hybrid work model, competitive contract rate, and opportunity to shape AI strategy.
- Other info: Exciting chance to lead in a dynamic, regulated environment.
- Why this job: Be the pioneer in integrating AI into insurance, making a real impact.
- Qualifications: Proven AI experience, hands-on with LLMs, and strong communication skills.
The predicted salary is between 81000 - 99000 £ per year.
We're looking for an AI Lead on contract to help a long-established London specialty insurer bring AI into the business from scratch. It's a blank page. They know they want AI, and now they need someone who can work out where to start, build it, and get it live. You'll work closely with the senior team, and you'll own the work from the first idea through to something running in production.
What you'll be doing:
- Working with the business to find and prioritise the first AI use cases, for example, handling broker submissions, document processing, claims and partner data.
- Shaping a simple, practical plan and the foundations it needs (data, tooling, governance).
- Building and delivering the first solutions, using LLMs and proven cloud AI services.
- Making sure it's safe and well governed, with the right testing, guardrails, and oversight for a regulated insurer.
- Explaining what you're doing to senior people in plain English, and helping the in-house team take it over.
What we're looking for:
- Real experience taking AI or GenAI from idea to production, not just demos.
- Hands-on with LLMs, RAG and agent-style solutions, plus Python and a major cloud platform (Azure, AWS or GCP).
- Insurance knowledge, such as underwriting, claims, MGAs, delegated authority or the London Market.
- Understanding of responsible AI, data quality and working in a regulated business.
- Confident communicator who can work with business and technical people alike.
- Experience working with unstructured documents such as submissions, policy wordings or claims files.
- Experience with PRA/FCA or GDPR requirements.
- Previous work as a first or lead AI hire.
AI Engineer / AI Lead – Insurance – London employer: SJIT
Join a forward-thinking company in Bristol as a Data Activation Lead, where you will thrive in a collaborative and innovative work culture. With a competitive salary, up to 15% bonus, and a comprehensive benefits package, we prioritise employee growth and development while embracing hybrid working arrangements. Our commitment to data accuracy and quality ensures that you will play a vital role in shaping our digital analytics landscape, making this an exciting opportunity for those passionate about data-driven insights.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer / AI Lead – Insurance – London
✨Get Involved in Open-Source Projects
Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at SJIT who values hands-on experience over just theory.
✨Attend Local Tech Meetups
Tech meetups are gold mines for networking and discovering job opportunities, especially in the fast-paced world of software engineering. Check out local listings for events in your area and don’t shy away from introducing yourself. This could lead directly to a temporary position at SJIT!
✨Showcase Your Work Online
With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at SJIT to see what you bring to the table.
✨Leverage Temporary Job Boards
Don’t forget to check specialised job boards for temporary software development roles. Websites like We Work Remotely or Remote OK often list short-term gigs that can be a perfect fit. Apply directly through our website as well, making sure your application is sharp—temporary roles can move fast!
We think you need these skills to ace AI Engineer / AI Lead – Insurance – London
Some tips for your application 🫡
Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at SJIT!
Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!
Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!
Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for AI Engineer / AI Lead – Insurance – London at SJIT! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!
How to prepare for a job interview at SJIT
✨Nail the Technical Skills
For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that SJIT uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!
✨Prepare for System Design Questions
Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.
✨Demonstrate Your Adaptability
Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at SJIT that you can learn on the job and deliver results in a short timeframe!
✨Show Off Your Portfolio
Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest SJIT, so it's relevant and sparks conversation during your interview.
