Security Engineer, Detection and Response (uk)

Writer Writer · AI Frontier · London, United Kingdom · Engineering, product & design

Security engineer focused on detecting and responding to threats targeting AI infrastructure, training data, and model deployments. The role involves building sophisticated detection systems, automated response playbooks, and proactive threat hunting within distributed AI environments, including GPU clusters and training pipelines.

What you'd actually do

  1. Design and implement detection strategies that identify AI-specific threats including prompt injection, model extraction, data poisoning, adversarial examples, and unauthorized access to training datasets or model weights across our distributed infrastructure
  2. Build automated response playbooks and orchestration workflows that contain threats without human intervention, creating self-healing security systems that reduce mean time to response from hours to minutes while automatically remediating compromised inference endpoints
  3. Lead security incident response coordination across all teams (Cloud, AppSec, Enterprise, AI Security) when AI infrastructure or models are compromised, conducting forensic investigations on training pipeline attacks and model manipulation attempts while drafting clear incident communications for engineering and executive leadership
  4. Hunt proactively for sophisticated threats across GPU clusters and training infrastructure by analyzing model outputs for signs of compromise, reproducing AI-specific vulnerabilities from security research, and identifying visibility gaps in distributed training environments before adversaries exploit them
  5. Build detection-as-code frameworks with version control and automated deployment, onboard telemetry from AI training infrastructure and inference endpoints, and create dashboards that track model security metrics, GPU utilization patterns, and access to sensitive research data

Skills

Required

  • 3-5+ years in security operations, detection engineering, or incident response
  • 3+ years specifically securing AI/ML infrastructure, high-performance computing environments, or other distributed systems at scale
  • Strong programming skills in Python, KQL, SPL, or similar languages
  • Experience with SIEM platforms, detection technologies, and forensic investigation techniques
  • Self-directed execution mindset
  • Track record of securing high-value intellectual property

Nice to have

  • building custom detection logic
  • automate response workflows
  • create tools that operationalize security at scale
  • build detection for novel attack techniques
  • conduct forensics in complex distributed environments

What the JD emphasized

  • securing AI/ML infrastructure
  • high-performance computing environments
  • distributed systems at scale
  • automating incident response in complex environments
  • identifying critical security gaps through proactive threat hunting

Other signals

  • defending cutting-edge AI/AGI systems
  • securing AI infrastructure
  • building detection systems for AI-specific threats
  • automated response capabilities for AI platform