Staff AI/ML Engineer (£130,000–£160,000 + Equity) at Tech-forward insurance at Jack & Jill/External ATS

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

160000.0

Posted On

09 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, ML, System Architecture, MLOps, RAG Systems, LLM-Based Systems, Anomaly Detection, Time-Series Forecasting, Cloud Infrastructure, API Development, CI/CD, Production Systems, Portfolio Analytics, Claims Processing

Industry

Staffing and Recruiting

Description

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to speak to Jack. Job Title: Staff AI/ML Engineer Salary: £130,000–£160,000 + Equity Company Description: Tech-forward insurance underwriting platform Job Description: 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 augments expert decision-making and surfaces 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 combining traditional Lloyd's market expertise with cutting-edge machine learning. Tackle high-impact, greenfield challenges using messy, real-world data to build systems that create genuine competitive advantage. 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. Deep expertise in LLM-based systems, RAG architectures, and classical ML techniques such as 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. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit our website. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Responsibilities

The Staff AI/ML Engineer will architect and build intelligent systems from the ground up to transform specialty insurance, owning the full technical strategy from MLOps infrastructure to production RAG systems. Key duties include designing and deploying production-grade AI systems, such as RAG architectures and automated risk signal models, and building the entire ML infrastructure stack from scratch.