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 the chance to shape the future.
- Other info: Enjoy autonomy and tackle high-impact challenges in a dynamic startup.
- Why this job: Be the founding AI hire and drive innovation in a trillion-dollar industry.
- 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 employer: Jack & Jill
Join a pioneering tech-forward insurance platform in London, where you will be the first AI/ML Engineer, enjoying complete autonomy to shape the technical landscape of the company. With a strong focus on innovation and collaboration, this well-funded startup offers competitive salaries, equity options, and a vibrant work culture that fosters professional growth and encourages tackling high-impact challenges in a dynamic environment.
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
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and insurance sectors. Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's GitHub repos or case studies, having tangible evidence of your work can set you apart. Make sure to highlight any experience with MLOps and RAG architectures!
✨Tip Number 3
Prepare for interviews by diving deep into the company’s tech stack and industry challenges. Be ready to discuss how you can tackle real-world problems with your expertise. Tailor your answers to show how you can bring value to their specific needs.
✨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 about their job search. Let’s get you that Staff AI/ML Engineer role!
We think you need these skills to ace Staff AI/ML Engineer (£130,000–£160,000 + Equity) at Tech-forward insurance platform
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Staff AI/ML Engineer. Highlight your experience with MLOps, RAG architectures, and any relevant projects that showcase your ability to build production-grade systems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background aligns with the company's mission. Don’t forget to mention your passion for tackling high-impact challenges in the insurance industry.
Showcase Your Technical Skills:In your application, be sure to highlight your technical skills, especially in cloud infrastructure, API development, and CI/CD. We want to see how you can bring innovation while maintaining stability in your work.
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 don’t miss out on any important updates from us!
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 and built production-grade systems.
✨Showcase Your Autonomy
Since this role offers complete autonomy, be prepared to talk about how you would define the technical roadmap. Share examples of when you've taken ownership of a project and how you approached decision-making without legacy constraints.
✨Collaborate Like a Pro
Highlight your experience working with domain experts. Discuss how you've identified AI opportunities in previous roles and how collaboration has led to successful outcomes. This will show that you can bridge the gap between tech and business needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for AI/ML and how they plan to integrate these technologies into their operations. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
