AI SME - DevSecops

Superb opportunity to join a leading financial services client with offices in Sheffield. This contract is inside IR35 and we need someone willing to be in the office up to 3-days per week.

The Role

We're looking for an experienced AI Security Subject Matter Expert (SME) to shape and lead our approach to securing AI/ML models, GenAI applications, and AI-driven agents.

This is a high-impact role sitting at the intersection of Security Engineering, DevSecOps, and AI/ML. You'll work closely with engineering, platform, risk, and product teams to ensure AI systems are designed, deployed, and operated securely - from development through to runtime.

Responsibilities:

• Embed AI security controls into DevSecOps pipelines (model build, training, deployment, runtime)
• Define secure design patterns for AI/ML models, GenAI apps, and autonomous agents
• Evaluate and integrate AI/ML security tooling (model scanning, vulnerability detection, runtime guardrails)
• Identify and manage AI-specific risks such as:
  • Model poisoning, tampering, theft
  • Prompt injection and jailbreaks
  • Unsafe model formats and supply-chain risks
  • Data leakage, hallucinations, and misuse
• Translate emerging threats, CVEs, and research into practical enterprise controls
• Provide guidance, standards, and best practices for secure AI development
• Influence architecture decisions and act as a trusted advisor across multiple AI initiatives

What We're Looking For:

• 5+ years in cybersecurity (cloud, application, or platform security)
• Strong experience working in DevSecOps environments
• Solid understanding of AI/ML fundamentals and model life cycles
• Practical knowledge of GenAI and LLMs
• Hands-on exposure to AI-enabled or ML-based applications
• Familiarity with:
  • Model formats (ONNX, Pickle, Torch, etc.)
  • CI/CD and pipeline-based security controls
  • Secure software development practices
• Ability to clearly communicate complex AI security concepts to technical and non-technical audiences
• Confident engaging senior stakeholders and influencing without direct authority

Desirable:

• Experience in regulated environments
• Exposure to AI governance or model risk management
• Background in security architecture
• Familiarity with frameworks such as OWASP for AI or NIST

More details available on successful application.