Security engineer, detection and response (UK)

Writer
London
Workplace: HybridFull timeFunction: CybersecurityExperience: 3+ yearsSkills: ["Cross-functional collaboration","Self-directed execution","Incident response coordination","Proactive threat hunting","Accountability"]

Build and operate detection engineering for AI infrastructure, translating threat intelligence into real-time detections for attacks like prompt injection, model extraction, data poisoning, and unauthorized access. Create automated response playbooks, coordinate incident response across engineering teams, and proactively hunt threats across GPU clusters and distributed training environments. Develop detection-as-code with telemetry, dashboards, and 24/7 on-call coverage for critical AI security incidents.

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FursaFursa
Writer
Writer
16 hours ago

Security engineer, detection and response (UK)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Build and operate detection engineering for AI infrastructure, translating threat intelligence into real-time detections for attacks like prompt injection, model extraction, data poisoning, and unauthorized access. Create automated response playbooks, coordinate incident response across engineering teams, and proactively hunt threats across GPU clusters and distributed training environments. Develop detection-as-code with telemetry, dashboards, and 24/7 on-call coverage for critical AI security incidents.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Cybersecurity
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and implement detection strategies for AI-specific threats such as prompt injection, model extraction, data poisoning, adversarial examples, and unauthorized access to training data or model weights.
  • •Build automated response playbooks and orchestration workflows to contain threats with self-healing security systems and faster remediation of compromised endpoints.
  • •Coordinate security incident response across Cloud, AppSec, Enterprise, and AI Security, including forensics on training pipeline attacks and drafting incident communications.
  • •Hunt for sophisticated threats across GPU clusters and training infrastructure by analyzing outputs for compromise, reproducing AI-specific vulnerabilities, and identifying visibility gaps.
  • •Build detection-as-code frameworks with version control and automated deployment, onboard telemetry, and create dashboards tracking model security metrics and access to sensitive research data.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceDentalPaid LeavePensionLearning BudgetWellness Stipend

Key Requirements

  • •3-5+ years in security operations, detection engineering, or incident response with a proven record of stopping sophisticated production attacks, plus 3+ years securing AI/ML infrastructure or distributed systems at scale.
  • •Strong programming skills in Python, KQL, SPL, or similar languages to build detection logic and automate security response workflows.
  • •Experience with SIEM platforms, detection technologies, and forensic investigation techniques for novel attack techniques and complex distributed environments.
  • •Ability to operate self-directed, secure high-value intellectual property, automate incident response in complex environments, and proactively identify security gaps through threat hunting.
  • •Alignment with WRITER values, including cross-functional connection across security, infrastructure, and AI research teams.
Experience:3+ yearsSecurity operationsDetection engineeringIncident responseAI/ML securityDistributed systems
Skills:Cross-functional collaborationSelf-directed executionIncident response coordinationProactive threat huntingAccountability
Tech Stack:PythonKQLSPLSIEMTelemetryGPU clusters

Company Brief

Writer
Provides an AI writing platform for enterprises that helps teams create on-brand, high-quality content at scale using customizable style guides, real-time suggestions, and governance controls.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series B
Headquarters: New York, United States
Founded: 2019
WebsiteLinkedIn