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- Tasks: Design evaluation benchmarks for AI systems and build environments to measure performance.
- Company: Leading cybersecurity research organisation based in London.
- Benefits: Hybrid work flexibility, competitive salary, and comprehensive benefits package.
- Why this job: Join a cutting-edge team and make a real impact in cybersecurity innovation.
- Qualifications: Strong Python skills and experience in red-teaming required.
- Other info: Exciting opportunity for career growth in a dynamic field.
The predicted salary is between 65000 - 145000 £ per year.
A leading cybersecurity research organization in London seeks a cybersecurity engineer to design evaluation benchmarks for AI systems. This role involves building environments to measure AI performance on cybersecurity tasks, ensuring robust infrastructures, and documenting findings.
The ideal candidate has strong Python skills and experience in red‑teaming. This is a full-time position with hybrid work flexibility and a salary range of £65,000 to £145,000, plus benefits.
Cyber AI Security Engineer — Cyber Range & Evaluation employer: AI Security Institute
Contact Detail:
AI Security Institute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cyber AI Security Engineer — Cyber Range & Evaluation
✨Tip Number 1
Network like a pro! Reach out to folks in the cybersecurity field, especially those working with AI. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any red-teaming experiences. This is your chance to demonstrate your expertise in building environments for AI performance evaluation – make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common cybersecurity scenarios and AI-related questions. We recommend practising with friends or using mock interview platforms to get comfortable discussing your findings and methodologies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search – it shows you’re serious about joining our team!
We think you need these skills to ace Cyber AI Security Engineer — Cyber Range & Evaluation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and any red-teaming experience. We want to see how your background aligns 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 cybersecurity and AI. We love seeing candidates who can articulate their motivation and fit for the role.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for innovative thinkers who can design effective evaluation benchmarks, so let us know how you’ve approached similar tasks!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at AI Security Institute
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant AI frameworks. Be ready to discuss specific projects where you've applied these skills, especially in red-teaming scenarios. The more you can demonstrate your technical prowess, the better!
✨Understand Cybersecurity Fundamentals
Familiarise yourself with the latest trends and challenges in cybersecurity, particularly those related to AI. Being able to discuss current threats and how AI can mitigate them will show that you're not just technically skilled but also aware of the bigger picture.
✨Prepare for Scenario-Based Questions
Expect to face questions that assess your problem-solving abilities in real-world situations. Think about how you would design evaluation benchmarks or build environments for measuring AI performance. Practising these scenarios can help you articulate your thought process clearly.
✨Showcase Your Documentation Skills
Since documenting findings is a key part of the role, be prepared to discuss how you approach documentation. Bring examples of past work if possible, and explain how your documentation has contributed to project success. This will highlight your attention to detail and organisational skills.
