Hybrid AI Security Tester: Offensive ML & Pen Testing

Mastek; Reading; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Mastek is seeking an AI Security Tester to break and defend AI systems, combining offensive security and AI/ML risk awareness. You will simulate attacks, test guardrails, and identify data privacy risks to secure deployments.

The role requires 5+ years in offensive cybersecurity with at least 2 years in AI/ML security, strong Python/Java skills, and hands-on experience with PyTorch and TensorFlow. Hybrid work with occasional travel to offices or client sites is expected.

Qualifications

• 5+ years in offensive cybersecurity (AppSec, Pen Testing, Red Teaming).
• Minimum 2 years focused on AI/ML security.
• Strong programming skills in Python and Java.
• Hands-on experience with ML frameworks PyTorch and TensorFlow.
• Familiarity with AI tooling LangChain, LlamaIndex, red-teaming toolkits.
• Proven ability to assess and secure AI systems end-to-end.

Responsibilities

• 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
• Proven ability to assess and secure AI systems end-to-end

Skills

Offensive security

AI/ML security

Python

Java

PyTorch

TensorFlow

LangChain

Red Teaming

Data privacy

Education

Master’s degree in CS or Cybersecurity

CISSP certification

Tools

Red-teaming tools

Fuzzing tools

Threat modelling tools

Job description

Mastek is seeking an AI Security Tester to break and defend AI systems, combining offensive security and AI/ML risk awareness. You will simulate attacks, test guardrails, and identify data privacy risks to secure deployments.

The role requires 5+ years in offensive cybersecurity with at least 2 years in AI/ML security, strong Python/Java skills, and hands-on experience with PyTorch and TensorFlow. Hybrid work with occasional travel to offices or client sites is expected.