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- Tasks: Secure AI and cloud platforms while designing innovative security architectures.
- Company: Leading tech firm focused on AI and data security.
- Benefits: Long-term contract, hybrid work, and opportunities for professional growth.
- Why this job: Join a cutting-edge team shaping the future of AI security.
- Qualifications: Strong cybersecurity background with AI/ML experience required.
- Other info: Mentorship opportunities and a collaborative, security-first culture.
The predicted salary is between 36000 - 60000 £ per year.
A long-term inside-IR35 contract Cyber Security Engineer – AI & Data Security role, hybrid in London (Canary Wharf) until October 2026, focused on securing AI and cloud platforms, designing AI security architectures and governance, validating AI models, and providing technical leadership across Azure and AWS environments.
Are you a Cyber Security Engineer with a passion for securing AI and cloud platforms? This is a long-term contract opportunity to play a key role in shaping a large-scale AI Security Programme, working at the forefront of AI, cloud, and data protection. You’ll join a specialist AI & Data Security team, providing hands-on engineering expertise and technical leadership to ensure AI capabilities are deployed securely, responsibly, and at scale.
What you’ll be doing:
- Acting as a cybersecurity specialist for AI platforms, with hands-on involvement across Azure OpenAI, AWS Bedrock, Microsoft 365, and foundation models.
- Designing secure AI deployment patterns, guardrails, governance controls, and observability frameworks.
- Translating AI and platform risks into practical engineering solutions.
- Collaborating closely with security, engineering, and data teams to integrate AI safely into existing environments.
- Testing and validating AI models for security, performance, and reliability.
- Mentoring junior engineers and contributing to a strong security-first culture.
Essential skills:
- Strong cybersecurity engineering background with AI / ML security exposure.
- Hands-on Microsoft Azure experience, including Azure Application Gateway.
- Experience securing AI platforms and foundation models.
- Knowledge of secure AI architectures, guardrails, and governance.
- Hybrid cloud security experience.
Nice to have:
- Azure AI Foundry.
- Amazon Bedrock AI Agents.
- Azure Analytics Services.
Data & AI - AI / ML Engineer (140291-1) employer: Skillfinder International
Contact Detail:
Skillfinder International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI - AI / ML Engineer (140291-1)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and Cyber Security space. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI security and cloud platforms. This could be anything from GitHub repositories to case studies. We want to see what you can do, so make it easy for us to find your best work!
✨Tip Number 3
Prepare for those interviews! Research common questions related to AI and Cyber Security roles, and practice your answers. We recommend doing mock interviews with friends or using online platforms to get comfortable talking about your experience.
✨Tip Number 4
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 take the initiative to apply directly. So, don’t hesitate – get your application in today!
We think you need these skills to ace Data & AI - AI / ML Engineer (140291-1)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI and cloud security. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience with Azure and AWS.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about securing AI platforms and how your background makes you a perfect fit for our team. Keep it engaging and relevant!
Showcase Your Technical Skills: In your application, be specific about your technical expertise. Mention any projects or experiences where you’ve designed secure AI architectures or validated AI models. We love seeing real-world examples!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at Skillfinder International
✨Know Your Stuff
Make sure you brush up on your cybersecurity engineering knowledge, especially around AI and ML security. Familiarise yourself with Azure and AWS environments, as well as secure AI architectures. Being able to discuss specific projects or experiences will show that you're not just talking the talk.
✨Showcase Your Hands-On Experience
Prepare to share examples of your hands-on involvement in securing AI platforms. Whether it’s designing deployment patterns or validating AI models, having concrete examples ready will demonstrate your practical skills and how you can contribute to their AI Security Programme.
✨Collaboration is Key
Highlight your experience working with cross-functional teams. This role requires close collaboration with security, engineering, and data teams, so be ready to discuss how you've successfully worked with others to integrate AI safely into existing environments.
✨Emphasise Mentorship and Culture
Since mentoring junior engineers is part of the role, think about how you can convey your leadership style and commitment to fostering a strong security-first culture. Share any past experiences where you’ve guided others or contributed to team development.