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- Tasks: Design and implement security controls for cutting-edge AI systems in a hands-on role.
- Company: Rapidly scaling Barcelona-based startup at the forefront of AI security.
- Benefits: Competitive salary, hybrid remote work, and high growth opportunities.
- Other info: Engage with industry leaders and represent NeuralTrust at conferences.
- Why this job: Join a pioneering team defending the next generation of AI against emerging threats.
- Qualifications: 5+ years in cybersecurity with enterprise experience; AI security knowledge is a plus.
The predicted salary is between 80000 - 100000 £ per year.
At NeuralTrust we're looking for a Cybersecurity Engineer to help us defend the next generation of AI systems. We're a Barcelona-based startup that is rapidly scaling globally to become a global leader in AI agent security. Our platform enables organizations to secure agent systems, covering both exposure management and runtime security.
As a Cybersecurity Engineer, you will design and ship the controls that protect production AI deployments at some of the largest enterprises in Europe. This is a hands-on technical role at the frontier of AI security. You will work across our full product portfolio: the Generative Application Firewall, Guardian Agents, AI Red Teaming engine, MCP Scanner, and MCP Gateway.
- Research and operationalize new attack techniques against AI agents, including prompt injection, semantic chaining, tool abuse, and MCP exploits.
- Build and ship features in our MCP Scanner and MCP Gateway that protect customer production traffic.
- Lead red teaming engagements against enterprise AI deployments.
- Work directly with CISOs and security architects to translate enterprise requirements into product capabilities.
- Publish original research, advisories, and threat intelligence under your own name.
- Represent NeuralTrust at industry conferences and in technical conversations with the broader security community.
We're looking for a Cybersecurity Engineer with deep enterprise security experience who wants to apply that instinct to a brand new attack surface:
- ~5+ years of cybersecurity experience, with significant time inside a large enterprise (banking, energy, telecom, healthcare, aviation, or similar).
- ~ Proven track record shipping controls that survived real attackers, real auditors, and real boards.
- ~ Curiosity about AI security. Prior AI or LLM security experience is a plus, not a requirement.
- ~ Fluent in English.
- ~ Based in or willing to relocate to London, UK (hybrid role).
Competitive salary aligned with your experience and impact. Hybrid remote flexibility (work part of the week remotely, with periods of full remote). High growth opportunity.
Cyber Security Engineer (Contract) employer: NeuralTrust
Contact Detail:
NeuralTrust Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cyber Security Engineer (Contract)
✨Tip Number 1
Network like a pro! Attend industry meetups, conferences, and webinars related to cybersecurity and AI. This is your chance to connect with potential employers and showcase your passion for the field.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, research, and any relevant work you've done in cybersecurity. This gives you a tangible way to demonstrate your expertise to hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on common cybersecurity scenarios and challenges. Be ready to discuss how you would tackle real-world problems, especially those related to AI security, as this will impress your interviewers.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining NeuralTrust. Tailor your application to highlight your experience in enterprise security and your curiosity about AI.
We think you need these skills to ace Cyber Security Engineer (Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Cyber Security Engineer role. Highlight your experience in enterprise security and any relevant projects you've worked on, especially those related to AI or large-scale systems.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about AI security and how your background makes you a great fit for NeuralTrust. Be sure to mention specific skills or experiences that align with our job description.
Showcase Your Technical Skills: In your application, don't shy away from showcasing your technical skills. Mention any tools or technologies you've used that are relevant to the role, like experience with firewalls, red teaming, or threat intelligence.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role as quickly as possible!
How to prepare for a job interview at NeuralTrust
✨Know Your Stuff
Make sure you brush up on the latest trends in AI security and cybersecurity practices. Familiarise yourself with concepts like prompt injection and semantic chaining, as these are hot topics in the field. Being able to discuss these intelligently will show your passion and expertise.
✨Showcase Your Experience
Prepare to talk about your previous roles, especially those where you shipped controls that stood up to real-world attacks. Use specific examples from your 5+ years of experience in enterprise security to demonstrate your problem-solving skills and how you've tackled challenges in the past.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers. Ask them about their current projects or challenges they face in AI security. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
✨Be Ready to Discuss Research
Since publishing original research is part of the role, be prepared to discuss any relevant work you've done. If you have insights or findings related to AI security, share them! This will highlight your thought leadership and commitment to advancing the field.