Remote AI Security Engineer: Model-Driven Code Scanning

SR2; Greater London; Remote; GBP 90,000 - 120,000; Full time

Job summary

SR2 is seeking an AI/ML engineer to build pipelines that use Claude, OpenAI and other models to scan code for vulnerabilities. You will compare models, develop evidence-based routing, and enhance detection rules, enabling a scalable service across departments.

Required are real experience with LLM APIs, strong Python, and an evidence‑driven mindset. You’ll work independently in a remote, multi‑supplier setup with occasional travel to London.

Qualifications

• Active SC clearance (essential)
• Real experience building with LLM APIs — Anthropic, OpenAI, Bedrock, Azure OpenAI or Vertex
• Strong Python, plus agents, tool calling and structured outputs
• An evidence‑first mindset: you prove things work with data
• You’re a self‑starter who’s happy working independently in a multi‑supplier team

Responsibilities

• Build pipelines that put Claude, OpenAI and other models to work scanning code and spotting vulnerabilities
• Test, compare and evidence which model performs best for each use case
• Build data‑driven model evaluation and routing across providers — the best model for the job, no lock‑in
• Use AI to speed up detection engineering: writing and testing the rules that spot threats
• Help turn a proven pilot into a service other departments can use

Skills

Python

LLM APIs

Agents & tool calling

Data-driven evaluation

Security tooling knowledge

Tools

Anthropic API

OpenAI API

Bedrock

Azure OpenAI

Gitleaks/Semgrep/CodeQL

Job description

SR2 is seeking an AI/ML engineer to build pipelines that use Claude, OpenAI and other models to scan code for vulnerabilities. You will compare models, develop evidence-based routing, and enhance detection rules, enabling a scalable service across departments.

Required are real experience with LLM APIs, strong Python, and an evidence‑driven mindset. You’ll work independently in a remote, multi‑supplier setup with occasional travel to London.