You will architect a sophisticated Context Engine that resolves the volume crisis in cybersecurity. By bridging the gap between rigid infrastructure data and semantic LLM reasoning, you will build a system that transforms thousands of raw alerts into actionable focus areas using entity resolution, multi-membership clustering, and deterministic logic guardrails.
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Lead ML Architect at high-growth cybersecurity AI startup
Are you ready to move beyond simple LLM wrappers and architect a true intelligence engine? This high-growth cybersecurity startup is seeking a Lead ML Architect in London to solve the 'Volume vs. Context' crisis. You will build a sophisticated platform that translates hard infrastructure signals into semantic reasoning, using multi-membership clustering and deterministic guardrails to transform thousands of security alerts into actionable insights. Working directly with the founder, you will own the technical authority for a core engine that models blast radius and attack patterns for world-class security teams.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
High-growth cybersecurity AI startup
What you will do
- Design a feature engineering layer that translates hard infrastructure signals like IPs and CNAMEs into inductive biases for LLM reasoning.
- Implement a taxonomy-driven knowledge injection pipeline using deterministic lookup systems to ensure high-accuracy domain expertise.
- Create a logic layer for entity resolution to resolve canonical identities across sparse data points and define asset boundaries.
Who this is a fit for
- Proven experience building complex data pipelines where LLMs are integrated as components rather than standalone solutions.
- Strong background in ML engineering, specifically categorical data normalization, feature engineering, and agentic workflow orchestration.
- Solid understanding of security literacy, including vulnerability patterns, infrastructure networking concepts, and deterministic deduplication methods.
Why this role is remarkable
- Lead the development of a core engine that moves beyond simple LLM wrappers into complex data modeling and explainable AI.
- Join a well-funded startup backed by top-tier VCs at an early stage where you define the technical authority and roadmap.
- Solve high-stakes engineering challenges involving sparse data points, canonical identity resolution, and massive-scale vulnerability correlation.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.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.
I recruit from Jack’s network and make the intro when I spot a great match.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.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.