AI Security Engineer — Cloud Security & Red Team
AI Security Engineer — Cloud Security & Red Team

AI Security Engineer — Cloud Security & Red Team

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

  • Tasks: Secure AI platforms and conduct threat modelling to enhance cloud security.
  • Company: Award-winning STEM business based in London with a focus on innovation.
  • Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
  • Why this job: Join a cutting-edge team and make a real impact in AI security.
  • Qualifications: Strong background in security engineering and hands-on AI red teaming experience.
  • Other info: Collaborative office environment with a balance of remote work.

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

An award-winning STEM business based in London is seeking an experienced AI Security Engineer to enhance security engineering and cloud security practices. The role emphasizes securing AI platforms, conducting threat modeling, and implementing security controls, specifically around adversarial testing.

The ideal candidate will have a strong background in security engineering and cloud security, with hands-on experience in AI red teaming. This position requires presence in the office 1-2 days a week, ensuring a balance between remote and office work.

AI Security Engineer — Cloud Security & Red Team employer: Huxley

Join an award-winning STEM business in London that prioritises innovation and employee development. With a flexible work culture that promotes a healthy work-life balance, you will have access to cutting-edge projects in AI security while benefiting from continuous learning opportunities and a collaborative environment. This role not only offers competitive remuneration but also the chance to be part of a forward-thinking team dedicated to enhancing cloud security practices.
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Contact Detail:

Huxley Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Security Engineer — Cloud Security & Red Team

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 showcasing your projects related to cloud security and AI red teaming. This gives us a tangible way to see what you can do beyond the application.

Tip Number 3

Prepare for the interview by brushing up on the latest trends in AI security. We love candidates who are passionate and knowledgeable about the field, so be ready to discuss current challenges and solutions.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always looking for talent that fits our culture.

We think you need these skills to ace AI Security Engineer — Cloud Security & Red Team

Security Engineering
Cloud Security
AI Security
Threat Modeling
Adversarial Testing
Red Teaming
Implementation of Security Controls
Hands-on Experience

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in security engineering 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 in AI red teaming!

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 team. We love seeing genuine enthusiasm for the role and the company.

Showcase Relevant Projects: If you've worked on any projects related to adversarial testing or threat modelling, make sure to mention them. We’re keen to see real-world examples of your work that demonstrate your expertise in securing AI platforms.

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’s super easy to do!

How to prepare for a job interview at Huxley

Know Your AI Security Inside Out

Make sure you brush up on the latest trends and challenges in AI security. Be prepared to discuss specific adversarial testing techniques and how they apply to cloud security. This shows that you’re not just familiar with the basics, but you’re genuinely engaged with the field.

Showcase Your Hands-On Experience

Prepare to share concrete examples from your past roles where you’ve successfully implemented security controls or conducted threat modelling. Use the STAR method (Situation, Task, Action, Result) to structure your responses, making it easy for the interviewer to see your impact.

Understand Their Business and Culture

Research the company’s mission and values, especially their approach to STEM and innovation. Tailor your answers to reflect how your skills and experiences align with their goals. This will demonstrate that you’re not just looking for any job, but that you’re genuinely interested in contributing to their success.

Prepare Questions That Matter

Think of insightful questions to ask at the end of the interview. Inquire about their current security challenges or how they envision the role evolving with advancements in AI. This shows your enthusiasm for the position and helps you gauge if the company is the right fit for you.

AI Security Engineer — Cloud Security & Red Team
Huxley

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