AI Security Specialist

🔒 Confidential Employer
Posted 13 August 2025
LOCATION
United Kingdom
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

AI/ML Security Threat Modeling Adversarial Machine Learning NIST AI RMF Data Privacy Cybersecurity

FULL DESCRIPTION

Summary

[Employer hidden — view at passion-project.co.uk] is seeking an AI Security Specialist to assess and mitigate security risks in AI/ML systems, protect AI applications from adversarial attacks, design and implement security protocols tailored to AI-driven architectures, collaborate with various teams, monitor AI systems for vulnerabilities, and ensure compliance with AI-related data privacy and cybersecurity regulations.

Key Responsibilities

  • Assessing and mitigating security risks in AI/ML systems, from data pipelines to deployed models
  • Protecting AI applications from adversarial attacks, model inversion, and data poisoning
  • Designing and implementing security protocols tailored to AI-driven architectures
  • Collaborating with data science, DevOps, and security teams to secure the ML lifecycle
  • Monitoring AI systems for vulnerabilities and responding to incidents
  • Ensuring compliance with AI-related data privacy and cybersecurity regulations

Core Requirements/Qualifications/Skills

  • Background in cybersecurity, AI/ML security, or secure software engineering
  • Experience with threat modeling for AI systems and adversarial machine learning techniques
  • Familiarity with frameworks like NIST AI RMF, OWASP for ML, and secure cloud deployments
  • Proficiency with tools like TensorFlow Privacy, PySyft, and container security (e.g., Docker, Kubernetes)
  • Strong understanding of data privacy principles and regulatory compliance (e.g., GDPR, AI Act)
  • Degree in Cybersecurity, Computer Science, AI, or a related field preferred

🔧 What You’ll Be Working On:

  • Assessing and mitigating security risks in AI/ML systems, from data pipelines to deployed models
  • Protecting AI applications from adversarial attacks, model inversion, and data poisoning
  • Designing and implementing security protocols tailored to AI-driven architectures
  • Collaborating with data science, DevOps, and security teams to secure the ML lifecycle
  • Monitoring AI systems for vulnerabilities and responding to incidents
  • Ensuring compliance with AI-related data privacy and cybersecurity regulations

🎯 What We’re Looking For:

  • Background in cybersecurity, AI/ML security, or secure software engineering
  • Experience with threat modeling for AI systems and adversarial machine learning techniques
  • Familiarity with frameworks like NIST AI RMF, OWASP for ML, and secure cloud deployments
  • Proficiency with tools like TensorFlow Privacy, PySyft, and container security (e.g., Docker, Kubernetes)
  • Strong understanding of data privacy principles and regulatory compliance (e.g., GDPR, AI Act)
  • Degree in Cybersecurity, Computer Science, AI, or a related field preferred
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