AI Security Content Engineer

TryHackMe Ltd; City Of London; Remote; GBP 50,000 - 70,000; Full time

Job summary

A leading online cybersecurity training platform is seeking an AI Security Content Engineer to develop innovative AI-focused training content. The ideal candidate will have strong experience in cybersecurity and AI security. Responsibilities include designing immersive labs, mentoring team members, and collaborating with other engineers. This role offers flexible hours and remote work opportunities.

Benefits

Remote work options

Flexible hours

Personal development budget

Company retreats

Health insurance

401k / Pension

Lunch covered during virtual meetings

Qualifications

• 3-5 years of relevant experience in cybersecurity or AI security.
• Hands-on skills with AI security tools and frameworks.
• Ability to articulate AI system vulnerabilities and mitigation strategies.

Responsibilities

• Research and develop AI security labs and immersive learning experiences.
• Collaborate with the Content Engineering Team.
• Mentor other content engineers on AI-related concepts.

Skills

Experience in cybersecurity or AI security

AI/ML system architectures

Security Engineering

Technical writing

Cloud services (Azure, AWS, GCP)

Tools

TensorFlow

PyTorch

Hugging Face

Job description

TryHackMe is the fastest-growing online cyber security training platform. Our mission is to make learning and teaching cyber security easier by providing gamified security exercises and challenges. Having only been around for handful of years, we've grown to more than 6+ million community members and our growth isn't slowing down! 🥷

The Role

We're looking for an AI Security Content Engineer to help us design and develop cutting-edge AI-focused cybersecurity training content. You'll be creating hands-on learning experiences that teach our users how to secure, assess, and defend AI/ML systems in an era where artificial intelligence is rapidly transforming the security landscape.

In this role, you'll research and develop immersive training content covering AI system vulnerabilities, attack vectors, and defensive strategies. From prompt injection and model manipulation to supply chain attacks and data poisoning, you'll transform complex AI security concepts into engaging, practical labs that help millions of learners build essential skills for the future of cybersecurity.

The ideal candidate has strong experience in blue team or security engineering roles, a solid understanding of AI/ML system architectures and their security implications, and a passion for creating educational content that makes a real difference in people's learning journeys. Whilst we're starting with defensive (blue team) content, there's opportunity to expand into offensive security content as the role evolves.

Technical Skills & Experience

To be considered for this opportunity, you must have at least 3-5 years of relevant experience in cybersecurity or AI security, in roles such as:

• Security Engineer, SOC Analyst, Threat Hunter, Incident Responder, or AI/ML Security Specialist
• With hands‑on exposure to AI model deployment, MLOps pipelines, or cloud-based AI environments (Azure, AWS, GCP)

You should also demonstrate:

• Strong understanding of blue team fundamentals: threat detection, incident response, log analysis, and security monitoring
• Solid grasp of AI/ML system architectures, data pipelines, and attack surfaces (model poisoning, data leakage, prompt injection, adversarial attacks, etc.)
• Ability to analyse and articulate AI system vulnerabilities, their potential impact, and available mitigation strategies
• Familiarity with AI/LLM security frameworks, such as:
  • OWASP Top 10 for LLMs
  • MITRE ATLAS
  • NIST AI Risk Management Framework
  • AI/ML Supply Chain Security (e.g., model provenance, dataset integrity)
• Hands‑on skills with AI security tools (such as Garak, MLflow Python ML/AI libraries like TensorFlow, PyTorch, Hugging Face, etc.)
• Excellent technical writing and communication skills, capable of translating 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

Job Responsibilities

• Research, design, and develop comprehensive AI security labs for TryHackMe, creating realistic attack/defence scenarios (prompt injection, model exfiltration, adversarial inputs, supply chain attacks) and immersive learning experiences that cover AI vulnerabilities, attack vectors, impacts, and mitigation strategies
• Collaborate with the Content Engineering Team to align AI-focused content with TryHackMe’s 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 to reflect new attack techniques and defences
• Contribute to the content roadmap for AI and emerging technology tracks
• Mentor other content engineers on AI‑related concepts and best practices in AI system security
• Excel at sharing AI security expertise (and any other relevant expertise) with team members, translating technical research into actionable insights that elevate the quality and accuracy of content across the team

Preferred Skills (nice-to-have):

• Experience building or evaluating LLM‑based applications (e.g., LangChain, OpenAI API, Azure OpenAI, or 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
• Certifications such as SAL1, BTL2, CySA+, or TryHackMe SAL1
• Experience working with or defending cloud‑native AI infrastructure (e.g., Azure AI, AWS SageMaker, GCP Vertex AI)

Benefits & Perks:

💸 Salary - We hire across 35+ countries. We determine salaries based on GeographicLocation, Seniority, Interview Performance, and Market Rates using leading compensation benchmarking tools.

🚣 100% Remote - In a fully digital world, work from anywhere you want!

🕒 Flexi Time - Choose your own hours as long as you have at least 4 hours of overlap with the UK timezone (from 8am - 6pm)

💻 Tools - a dedicated work laptop + any accessories you need to do your best work.

👕 Swag Pack - start your TryHackMe journey with a branded swag bundle!

💪 Personal Development - £2,500 training budget to acquire certifications, and more.

⛱️ Company Retreat - an annual company retreat, fully paid for by us!

🍕Lunch on us - whether you're a pizza‑lover, salad obsessed or a big sushi fan, TryHackMe will cover the cost of your lunch order during our recurring company virtual lunches.

🧡 Health Insurance - if you're in a country that doesn't have public health care.

🍼 Enhanced Maternity & Paternity- an enhanced package on top of statutory requirements.

💸 401k / Pension - TryHackMe makes it easy to save money for your retirement.

Our Hiring Process

• Stage 1: Short introduction call (30 mins)
• Stage 2: Technical Take Home Exercise
• Stage 3: Technical interview (60 mins)
• Stage 4: Final call with a Co‑Founder (30 mins)

At this time, we are unable to provide sponsorship.