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AI SME - DevSecOps

Job in Sheffield, South Yorkshire, S5, England, UK
Listing for: Talent Smart
Full Time, Part Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    AI Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 575 - 590 GBP Daily GBP 575.00 590.00 DAY
Job Description & How to Apply Below
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, Dev Sec Ops , 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 Dev Sec Ops  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 Dev Sec Ops  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
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