AI Devsecops Engineer

AI Devsecops Engineer

Freelance 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Secure the future of AI by embedding security into DevSecOps pipelines and advising teams on threats.
  • Company: Join a leading enterprise focused on innovative AI programmes with significant investment.
  • Benefits: Competitive pay, flexible work arrangements, and the chance to shape AI security at scale.
  • Why this job: Make a real impact in AI security and influence how it's done across multiple teams.
  • Qualifications: Strong cybersecurity background and experience in DevSecOps environments required.
  • Other info: High-visibility role with long-term opportunities in a dynamic AI landscape.

The predicted salary is between 48000 - 72000 £ per year.

We are looking for an AI Security Consultant to help secure the next generation of AI, GenAI and ML platforms inside a large, complex, highly regulated environment. This is a hands-on contract role sitting at the heart of secure development - shaping how AI is designed, built and operated securely by default, not bolted on later.

What you'll be doing:

  • Embedding AI security controls into DevSecOps pipelines
  • Defining secure patterns for ML models, GenAI apps and AI agents
  • Advising engineering teams on real-world AI threats (prompt injection, model poisoning, data leakage, unsafe model formats)
  • Evaluating and onboarding AI security tooling (model scanning, runtime guardrails, vulnerability detection)
  • Translating AI risk into practical, actionable controls
  • Acting as the go-to AI security expert across multiple delivery teams

What we're looking for:

  • Strong background in cybersecurity (application, cloud or platform)
  • Proven experience in DevSecOps environments
  • Solid understanding of AI/ML and GenAI security risks
  • Hands-on exposure to ML models, pipelines or AI-enabled systems
  • Confident communicator who can influence without authority

Why this contract:

  • Enterprise-scale AI programmes with serious investment
  • Influence how AI security is done properly, at scale
  • High-impact role with real visibility and autonomy
  • Long-term AI roadmap through 2026 and beyond

AI Devsecops Engineer employer: Talent Smart Limited

As an AI DevSecOps Engineer, you will join a forward-thinking organisation that prioritises innovation and security in the rapidly evolving field of AI. With a strong commitment to employee development, you will have access to extensive training opportunities and the chance to influence enterprise-scale AI programmes, all within a collaborative and dynamic work culture. Located in a highly regulated environment, this role offers the unique advantage of shaping secure AI practices that will set industry standards for years to come.
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Contact Detail:

Talent Smart Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Devsecops Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and cybersecurity space on LinkedIn or at industry events. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your work with AI security, DevSecOps pipelines, and any relevant projects. This gives potential employers a taste of what you can bring to the table, and we all know actions speak louder than words.

✨Tip Number 3

Prepare for interviews by brushing up on real-world AI threats and security controls. We recommend practising common interview questions related to AI security and DevSecOps. The more prepared you are, the more confident you’ll feel!

✨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, it shows you’re genuinely interested in joining our team and making an impact in the AI security landscape.

We think you need these skills to ace AI Devsecops Engineer

AI Security Controls
DevSecOps Pipelines
ML Models Security
GenAI Applications Security
AI Threat Evaluation
Model Scanning Tools
Vulnerability Detection
Cybersecurity
Cloud Security
Application Security
AI/ML Risk Assessment
Hands-on Experience with AI Systems
Effective Communication
Influencing Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in cybersecurity and DevSecOps. We want to see how your skills align with the AI security landscape, so don’t be shy about showcasing relevant projects or roles you've had.

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 you can contribute to our mission. We love seeing genuine enthusiasm and a clear understanding of the role.

Showcase Your Technical Skills: In your application, mention specific tools and technologies you’ve worked with in AI security and DevSecOps. We’re looking for hands-on experience, so don’t forget to include any relevant certifications or training you've completed.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at Talent Smart Limited

✨Know Your AI Security Stuff

Make sure you brush up on the latest AI security threats like prompt injection and model poisoning. Being able to discuss these topics confidently will show that you’re not just familiar with the theory but also understand the practical implications in a DevSecOps environment.

✨Showcase Your Hands-On Experience

Prepare to talk about your direct experience with ML models and AI-enabled systems. Bring examples of how you've embedded security controls into pipelines or advised teams on real-world threats. This will demonstrate your capability to handle the role's hands-on requirements.

✨Communicate Clearly and Confidently

As a go-to expert, your communication skills are key. Practice explaining complex AI security concepts in simple terms. This will help you convey your ideas effectively and show that you can influence others without needing authority.

✨Understand the Bigger Picture

Familiarise yourself with the enterprise-scale AI programmes and their long-term roadmaps. Being able to discuss how your role fits into the larger strategy will impress interviewers and show that you’re thinking beyond just the technical aspects.

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