Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Protect advanced data systems and enhance security for AI/ML technologies.
- Company: Leading tech firm focused on innovative security solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential.
- Why this job: Join a cutting-edge team and make a real impact in AI security.
- Qualifications: Experience in cloud platforms and knowledge of API security required.
The predicted salary is between 80000 - 100000 £ per year.
Location - Hybrid in Manchester, Northampton, Glasgow or London
Salary - £80000 - 100000 pa (depending on experience)
Sponsorship is not available for this role.
We're seeking an experienced security professional to play a key role in protecting advanced data‑driven systems across a complex technology environment. This role focuses on safeguarding sensitive information, enhancing secure engineering practices, and shaping the security approach for emerging AI/ML capabilities.
What you’ll be doing:
- Designing and deploying controls that protect high‑value systems and data
- Developing protocols, tooling and automation to harden AI/ML pipelines and model‑driven services
- Managing secure handling of secrets, keys and identities
- Assessing emerging threats, conducting security reviews and analysing vulnerabilities
- Carrying out technical investigations, code reviews, and hands‑on testing of AI‑related software
Essential skills:
- Bash/Shell desirable
- Proven experience with cloud platforms (AWS and/or Azure)
- Knowledge of API design and security (OAuth2, OIDC, JWT, etc.)
- Understanding of AI/ML concepts or a strong interest in building expertise in this area
- Experience in threat modelling, vulnerability assessment, or security testing
- Familiarity with secure development practices (e.g., DevSecOps, OWASP)
- Background in identity, access control or secrets/key management
- Ability to interpret complex technical problems and communicate clearly
- Positive collaborator able to influence stakeholders and guide others
AI Security Engineer employer: Cyber Security training courses
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Security Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI security space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects related to AI/ML security. This gives potential employers a taste of what you can do beyond the application.
✨Tip Number 3
Prepare for interviews by brushing up on common security scenarios and challenges in AI. We recommend practising with friends or using mock interview platforms to get comfortable.
✨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!
We think you need these skills to ace AI Security Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI security engineer role. Highlight your experience with cloud platforms, API security, and any relevant projects that showcase your skills in safeguarding data-driven systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML security and how your background makes you a perfect fit for our team. Don’t forget to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, especially in Bash/Shell, threat modelling, and secure development practices. We want to see how you can contribute to enhancing our security approach!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of cloud platforms like AWS and Azure, as well as API design and security protocols. Be ready to discuss how you've applied these in past roles, especially in relation to AI/ML systems.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific technical challenges you've faced, particularly around threat modelling and vulnerability assessments. Use examples that highlight your ability to interpret complex problems and communicate solutions effectively.
✨Demonstrate Your Collaborative Spirit
This role requires positive collaboration with stakeholders. Think of instances where you've influenced others or guided teams through security practices. Highlight your experience in working within a team to enhance secure engineering practices.
✨Stay Current with Emerging Threats
Familiarise yourself with the latest trends in AI/ML security threats. Be prepared to discuss how you would assess these threats and what proactive measures you would implement to safeguard sensitive information in a rapidly evolving tech landscape.