At a Glance
- Tasks: Architect and build AI systems to revolutionise specialty insurance.
- Company: Join a tech-forward insurance platform with industry veterans.
- Benefits: Competitive salary, equity options, and full autonomy in your role.
- Other info: Work on high-impact projects using real-world data in a dynamic startup.
- Why this job: Be the founding AI hire and shape the future of insurance technology.
- Qualifications: 10+ years in software and ML engineering with proven production experience.
The predicted salary is between 130000 - 160000 € per year.
As the first AI/ML hire, you will architect and build intelligent systems from the ground up to transform specialty insurance. Working directly with the CTO, you will own the full technical strategy—from MLOps infrastructure to production RAG systems that augment expert decision-making and surface critical portfolio insights in a legacy industry.
Location: London, UK
Why this role is remarkable:
- You are the founding AI hire with complete autonomy to define the technical roadmap and architectural choices without legacy constraints.
- Join a well-funded startup led by industry veterans at the intersection of traditional Lloyd's market expertise and cutting-edge machine learning.
- Tackle high-impact, greenfield challenges using messy, real-world data to build systems that provide a genuine competitive advantage in a trillion-dollar industry.
What You Will Do:
- Design and deploy production-grade AI systems, including RAG architectures for natural language querying and automated risk signal models for underwriters.
- Build and own the entire ML infrastructure stack, establishing MLOps practices, experiment tracking, and deployment pipelines from scratch.
- Collaborate with domain experts to identify high-impact AI opportunities across portfolio analytics, claims processing, and operational workflows.
The ideal candidate:
- 10+ years of software and ML engineering experience with a proven track record of shipping production-grade systems that users depend on.
- Deep expertise in LLM-based systems, RAG architectures, and traditional ML techniques like anomaly detection and time-series forecasting.
- Strong engineering foundations in cloud infrastructure, API development, and CI/CD, with a pragmatic approach to balancing innovation and stability.
Staff AI/ML Engineer (£130,000–£160,000 + Equity) at Tech-forward insurance platform in London employer: Jack & Jill
As a pioneering force in the insurance sector, this tech-forward platform offers an exceptional work environment where innovation thrives. With a focus on employee autonomy and growth, you will have the unique opportunity to shape the future of AI in insurance while collaborating with seasoned industry experts in London. Enjoy competitive compensation, equity options, and the chance to tackle transformative challenges in a supportive and dynamic culture.
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI/ML Engineer (£130,000–£160,000 + Equity) at Tech-forward insurance platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your AI/ML projects. This is your chance to demonstrate what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI/ML. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Staff AI/ML Engineer (£130,000–£160,000 + Equity) at Tech-forward insurance platform in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Staff AI/ML Engineer role. Highlight your expertise in LLM-based systems and MLOps practices, as these are key to what we’re looking for.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re excited about this opportunity. Share specific examples of how you've tackled similar challenges in the past and how you can bring value to our tech-forward insurance platform.
Showcase Your Projects:If you’ve worked on relevant projects, don’t hesitate to include them! We love seeing real-world applications of your skills, especially those involving production-grade AI systems and innovative ML solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting role at our startup!
How to prepare for a job interview at Jack & Jill
✨Know Your Stuff
Make sure you brush up on your AI/ML knowledge, especially around LLM-based systems and RAG architectures. Be ready to discuss your past projects in detail, focusing on how you've tackled real-world data challenges.
✨Showcase Your Autonomy
Since this role offers complete autonomy, be prepared to share examples of when you've taken the lead on a project. Highlight your experience in defining technical roadmaps and making architectural decisions without being constrained by legacy systems.
✨Collaborate Like a Pro
This position involves working closely with domain experts, so demonstrate your collaborative skills. Share instances where you've successfully partnered with non-technical stakeholders to identify AI opportunities and drive impactful results.
✨Balance Innovation and Stability
The ideal candidate needs to balance cutting-edge innovation with stability. Discuss how you've implemented MLOps practices and CI/CD pipelines in previous roles, ensuring that your solutions are both innovative and reliable.
