Security engineer, detection and response (UK)

The role

You will build detection systems and automated response capabilities to protect AI infrastructure. You will hunt for threats across GPU clusters and coordinate incident response across multiple teams.

What you will do

• Design and implement detection strategies for AI-specific threats
• Build automated response playbooks and orchestration workflows
• Lead security incident response coordination across all teams
• Conduct forensic investigations on training pipeline attacks and model manipulation
• Hunt proactively for sophisticated threats across GPU clusters and training infrastructure
• Build detection-as-code frameworks with version control and automated deployment
• Onboard telemetry from AI training infrastructure and inference endpoints
• Create dashboards for model security metrics and GPU utilization patterns
• Collaborate cross-functionally as the operational security partner
• Maintain 24/7 on-call rotation for critical AI security incidents

Required qualifications

• 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

Benefits

• Generous PTO, plus company holidays
• Comprehensive medical and dental insurance
• Paid parental leave for all parents (16 weeks)
• Fertility and family planning support
• Competitive pension scheme and company contribution
• Wellness stipend for gym, massage/chiropractor, personal training, etc.
• Learning and development stipend
• Company-wide off-sites and team off-sites
• Competitive compensation and company stock options

About the company

WRITER is the AI platform built for the world’s most ambitious marketing and revenue teams. Founded in 2020, it is backed by investors including Insight Partners, Salesforce Ventures, and Adobe Ventures.