AI SME - DevSecOps
£575 - £590 Per Day (Inside IR35)
Contract
Hybrid / Sheffield
Ref - 1645724
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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.
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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
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5+ years in cybersecurity (cloud, application, or platform security)
Strong experience working in DevSecOps environments
Solid understanding of AI/ML fundamentals and model lifecycles
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
To arrange an interview, please contact Ryan West.
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