At a Glance
- Tasks: Build AI agents that make a real impact in the insurance industry.
- Company: Join a dynamic UK insuretech leading an AI transformation.
- Benefits: Competitive salary, hybrid work model, and opportunities for growth.
- Other info: Be part of a growing team with exciting career prospects.
- Why this job: Shape the future of AI in insurance and lead innovative projects.
- Qualifications: Experience with LLMs and strong engineering skills required.
The predicted salary is between 57600 - 64800 £ per year.
Do you want to build production-grade AI agents with real commercial impact? Have you taken LLM systems from prototype to secure, scalable production? Are you ready to shape the ML foundations of an AI-first insurer? A digitally-led UK specialist insuretech (200–300 employees) is undergoing a major AI transformation following recent refinancing and dedicated AI investment. A new Head of AI joined in December 2025 with a roadmap to scale the team to 10 and deliver end-to-end agentic automation across the claims lifecycle. Early AI products are already live, and this is a foundational hire in that journey.
This is a Machine Learning Engineer role focused on making AI capability production-ready, scalable and stable. You’ll lead the engineering of AI agents, influence architecture and define ML engineering standards across the platform.
Key Responsibilities- Build and operate production-grade LLM-powered agents on GCP
- Design and scale robust RAG pipelines (ingestion, chunking, vector search)
- Integrate ML systems with policy, claims and CRM platforms via REST APIs
- Implement evaluation frameworks, monitoring, A/B testing and cost/latency dashboards
- Embed security, GDPR compliance, RBAC/IAM and auditability into ML systems
- Partner with Product and Claims to deliver measurable automation and cost savings
- Salary: £80k-£90k base
- Working model: Hybrid – 1–2 days per week in South West London
- Tech stack: Python, GCP (Vertex AI, BigQuery, Cloud Run/Functions), LLMs, embeddings, vector databases, Docker, Kubernetes, CI/CD
- Visa sponsorship: Not available
Interested? Please apply below.
Senior MLE (LLMs) - InsureTech employer: Harnham
Join a forward-thinking, digitally-led UK specialist insuretech that is at the forefront of AI transformation. With a strong focus on employee growth and a collaborative work culture, you will have the opportunity to shape the future of AI in insurance while working in a hybrid model from South West London. Enjoy competitive salaries, a supportive environment for innovation, and the chance to make a real impact in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior MLE (LLMs) - InsureTech
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI and InsureTech. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with LLMs and production-grade AI systems. This could be a GitHub repo or a personal website where you demonstrate your projects and achievements.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with GCP, Python, and ML engineering standards. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Senior MLE (LLMs) - InsureTech
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior MLE role. Highlight your experience with LLM systems and any projects where you've taken prototypes to production. We want to see how your skills align with our mission to build impactful AI agents!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our AI transformation journey. Be specific about your experience with GCP and ML engineering standards, as these are key to what we’re looking for.
Showcase Relevant Projects:If you've worked on any relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to build scalable and secure AI solutions.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Harnham
✨Know Your LLMs Inside Out
Make sure you’re well-versed in the latest developments in LLM systems. Be ready to discuss your experience with taking these systems from prototype to production, and how you've ensured they are secure and scalable.
✨Showcase Your Engineering Skills
Prepare to talk about your hands-on experience with building production-grade AI agents. Highlight specific projects where you’ve designed robust RAG pipelines or integrated ML systems with other platforms using REST APIs.
✨Demonstrate Your Problem-Solving Abilities
Think of examples where you’ve implemented evaluation frameworks or monitoring systems. Be ready to discuss how you approached A/B testing and what metrics you used to measure success.
✨Understand the Business Impact
Since this role is about delivering measurable automation and cost savings, come prepared with insights on how your work can directly impact the business. Show that you understand the importance of aligning ML engineering with company goals.
