At a Glance
- Tasks: Lead AI security initiatives and embed security controls in DevSecOps pipelines.
- Company: Join a leading financial services client with a strong presence in Sheffield.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and influence key architectural decisions.
- Why this job: Make a real impact on securing innovative AI technologies in a dynamic environment.
- Qualifications: 5+ years in cybersecurity with strong DevSecOps and AI/ML knowledge.
The predicted salary is between 48000 - 72000 € per year.
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 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
More details available on successful application.
AI SME - Devsecops in Sheffield employer: Talent Smart
Join a leading financial services firm in Sheffield, where innovation meets security in the rapidly evolving field of AI. Our collaborative work culture fosters professional growth and offers unique opportunities to influence cutting-edge AI security practices while working alongside talented teams. With a commitment to employee development and a supportive environment, we ensure that your contributions are valued and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land AI SME - Devsecops in Sheffield
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI/ML projects and any security measures you've implemented. This is a great way to demonstrate your expertise and make you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI security and DevSecOps. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with both technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI SME - Devsecops in Sheffield
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in AI security and DevSecOps. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI security and how your background makes you the perfect fit for this role. We love seeing enthusiasm and a personal touch.
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with AI/ML models and security practices. We’re looking for someone who can hit the ground running, so highlight any specific tools or frameworks you’ve worked with.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you get all the latest updates. Plus, we love seeing applications come in through our platform!
How to prepare for a job interview at Talent Smart
✨Know Your AI Security Stuff
Make sure you brush up on your knowledge of AI security concepts, especially around model poisoning and data leakage. Be ready to discuss how you've tackled these issues in the past, as this role is all about securing AI/ML models.
✨Show Off Your DevSecOps Experience
Since this position sits at the intersection of DevSecOps and AI, highlight your experience in embedding security controls into CI/CD pipelines. Prepare examples of how you've integrated security practices into development processes to ensure secure deployments.
✨Communicate Clearly
You’ll need to explain complex AI security concepts to both technical and non-technical folks. Practice simplifying your explanations and think of analogies that can help convey your points effectively during the interview.
✨Engage with Stakeholders
This role requires influencing senior stakeholders without direct authority. Think of instances where you've successfully engaged with leadership or cross-functional teams, and be prepared to share those stories to demonstrate your ability to build trust and influence decisions.
