Job specializations:
-
IT/Tech
Cybersecurity, Information Security & Data Protection
Job Description & How to Apply Below
Location:
Reading , UK ( Hybrid Role, when needed will have to travel to Client offices or customer location) Positions:
Permanent Clearance: SC Cleared / Eligible
Role Overview In this role, you'll simulate real-world attacks to uncover vulnerabilities in AI/ML systems. From stress-testing model guardrails to identifying data privacy risks, you'll play a critical role in ensuring secure and trustworthy AI deployments. Working Model - Hybrid Role, when needed will have to travel to Client offices or customer location What You'll Do Conduct adversarial testing to challenge AI model safety and guardrails Perform penetration testing and fuzzing of AI systems Identify risks such as data poisoning, model evasion, hallucinations, and bias Validate data privacy controls, including PII handling and encryption Simulate attack scenarios and exploit attempts Document vulnerabilities, unexpected behaviours, and evidence in lower environments Analyse threat vectors and recommend mitigation strategies Key Requirements 5 years in offensive cybersecurity (App Sec, Pen Testing, Red Teaming) Minimum 2 years focused on AI/ML security Strong programming skills in Python / Java Hands-on experience with ML frameworks (e.g., PyTorch, Tensor Flow) Familiarity with AI tooling (e.g., Lang Chain, Llama Index, red-teaming toolkits) Proven ability to assess and secure AI systems end-to-end Nice to Have Master's degree in Computer Science, Cybersecurity, AI/ML, or related field Certifications such as CISSP or AI security/safety credentials
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