Senior AI Security Content Engineer (Fixed Term)

Company: TryHackMe
Apply for the Senior AI Security Content Engineer (Fixed Term)
Location: London
Job Description:

Senior AI Security Content Engineer

We are looking for a senior role that demands deep, hands‑on cybersecurity expertise combined with strong AI/ML knowledge. You will design and develop cutting‑edge AI‑focused cybersecurity training content that teaches users how to secure, assess, and defend AI/ML systems.

Responsibilities

  • Research, design, and develop comprehensive AI security labs covering attack/defense scenarios such as prompt injection, model exfiltration, adversarial inputs, and supply‑chain attacks.
  • Ground all AI security content in real‑world defensive practices and threat landscapes.
  • Collaborate with the Content Engineering Team to align AI‑focused content with learning pathways.
  • Translate cutting‑edge AI security research and real‑world incidents into interactive, practical learning experiences.
  • Stay current with the evolving AI threat landscape and update content accordingly.
  • Contribute to the content roadmap for AI and emerging technology tracks.
  • Serve as a subject‑matter expert across both cybersecurity and AI security, mentoring other content engineers.
  • Share AI security expertise with team members and translate technical research into actionable insights.

Qualifications

Technical Skills & Experience

At least 5+ years of hands‑on cybersecurity experience in roles such as Security Engineer, SOC Analyst, Threat Hunter, Incident Responder, or Penetration Tester.

Practical knowledge of AI/ML systems and their security implications, including hands‑on exposure to AI model deployment, MLOps pipelines, or cloud‑based AI environments (Azure, AWS, GCP).

Mandatory Cybersecurity Skills

  • Deep, hands‑on experience with defensive/offensive security fundamentals: threat detection, incident response, log analysis, digital forensics, security monitoring, penetration testing.
  • Proficiency with core security tools and frameworks such as SIEM, EDR, IDS/IPS, and MITRE ATT&CK.
  • Strong understanding of network security, endpoint security, and cloud security principles.
  • Proven ability to investigate, analyse, and respond to real‑world security incidents.

Mandatory AI/ML Security Skills

  • Solid grasp of AI/ML system architectures, data pipelines, and attack surfaces (model poisoning, data leakage, prompt injection, adversarial attacks).
  • Ability to analyse and articulate AI system vulnerabilities, potential impact, and mitigation strategies.
  • Familiarity with AI/LLM security frameworks such as OWASP Top 10 for LLMs, MITRE ATLAS, NIST AI Risk Management Framework, and AI/ML Supply Chain Security.
  • Hands‑on skills with AI security tools (Garak, MLflow) and Python ML/AI libraries (TensorFlow, PyTorch, Hugging Face).
  • Hands‑on experience creating AI agents, especially in the cyber field.

Other Desired Skills

  • Excellent technical writing and communication skills, able to translate complex AI security concepts into engaging, digestible learning material.
  • Ability to research and synthesise emerging AI security threats and defensive techniques.
  • Understanding of AI governance, model interpretability, and security best practices.

Preferred Skills (nice‑to‑have)

  • Experience building or evaluating LLM‑based applications (LangChain, OpenAI API, Azure OpenAI, Hugging Face).
  • Familiarity with AI red‑teaming and adversarial testing.
  • Programming experience with Python, PowerShell, or Bash.
  • Experience with AI model testing, validation, or security assessment.
  • Understanding of MLOps security and CI/CD pipeline hardening.
  • Background in CTF challenge design or gamified cybersecurity content.
  • Previous experience creating technical training content or educational materials.
  • Security or AI certifications are a nice‑to‑have.
  • Experience defending cloud‑native AI infrastructure (Azure AI, AWS SageMaker, GCP Vertex AI).

Benefits & Perks

  • 100 % Remote.
  • Flexi‑Time – choose your own hours with at least 4 hours overlap with UK time (8 am–6 pm).
  • Dedicated work laptop and accessories.
  • Swag pack.
  • Personal development budget: £2,500 for training and certifications.
  • Annual company retreat, fully paid.
  • Lunch vouchers during virtual company lunches.
  • Health insurance (where applicable).
  • Enhanced maternity & paternity package.
  • 401(k) / pension plan.

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Posted: April 17th, 2026