AI Security PenTester — Hybrid (Reading, UK)

Response Informatics Limited.; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Response Informatics Limited. is actively hiring an AI Security Tester for a hybrid role in Reading, UK. You will simulate real-world attacks on AI/ML systems, identify data privacy risks, and help secure deployments.

The role requires 5+ years in offensive cybersecurity with at least 2 years focused on AI/ML security, plus strong Python/Java skills and hands-on ML framework experience (PyTorch, TensorFlow).

Qualifications

• 5+ years in offensive cybersecurity (AppSec, 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, TensorFlow)
• Familiarity with AI tooling (e.g., LangChain, LlamaIndex, red-teaming toolkits)
• Proven ability to assess and secure AI systems end-to-end
• Master's degree in Computer Science, Cybersecurity, AI/ML, or related field
• Certifications such as CISSP or AI security/safety credentials

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

Skills

Offensive cybersecurity

AI/ML security

Python/Java

ML frameworks

Threat modelling

Education

Master's degree in Computer Science, Cybersecurity, AI/ML, or related field

Tools

PyTorch

TensorFlow

LangChain

LlamaIndex

Red-teaming toolkits

Job description

Response Informatics Limited. is actively hiring an AI Security Tester for a hybrid role in Reading, UK. You will simulate real-world attacks on AI/ML systems, identify data privacy risks, and help secure deployments.

The role requires 5+ years in offensive cybersecurity with at least 2 years focused on AI/ML security, plus strong Python/Java skills and hands-on ML framework experience (PyTorch, TensorFlow).