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- Tasks: Secure AI platforms against threats and enhance cloud security.
- Company: Award-winning STEM business with a focus on innovation.
- Benefits: Competitive salary, flexible remote work, and exciting projects.
- Why this job: Join a dynamic team tackling cutting-edge AI security challenges.
- Qualifications: Experience in security engineering, cloud security, and AI testing.
- Other info: Opportunity for growth in a thriving tech environment.
The predicted salary is between 63000 - 84000 £ per year.
This is a new and exclusive opportunity for an AI Security Engineer to focus on security engineering and cloud security for this award-winning STEM Business.
Responsibilities:
- Securing AI platforms and systems against adversarial threats.
- Focusing on technical security controls, threat modelling, red teaming, and continuous monitoring of AI systems.
Role requirements:
- Security engineering and cloud security experience.
- AI red teaming and adversarial testing knowledge.
- Familiarity with AI security tooling and LLM testing frameworks.
- Experience securing APIs and distributed systems.
Remote Working:
Expected to be in the office 1 to 2 days a week, with additional days depending on activity (e.g. a design workshop).
This is a fascinating role, working on very interesting and genuinely invested projects in this thriving STEM business.
AI Security Engineer- security engineering/ cloud security in London employer: Huxley
Contact Detail:
Huxley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Security Engineer- security engineering/ cloud security in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to security engineering and cloud security. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI security. Practice explaining your thought process clearly, as communication is key in this field.
✨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 take that extra step to engage with us directly.
We think you need these skills to ace AI Security Engineer- security engineering/ cloud security in London
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 with AI red teaming and adversarial testing.
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 your background makes you a perfect fit for our team. Keep it engaging and relevant to the job description.
Showcase Relevant Projects: If you've worked on any projects related to AI security tooling or LLM testing frameworks, make sure to mention them. We love seeing practical examples of your work that demonstrate your expertise in securing APIs and distributed systems.
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. Good luck!
How to prepare for a job interview at Huxley
✨Know Your Stuff
Make sure you brush up on your security engineering and cloud security knowledge. Be ready to discuss AI red teaming, adversarial testing, and the specific tools and frameworks mentioned in the job description. This shows you’re not just familiar with the concepts but can also apply them.
✨Showcase Your Experience
Prepare to share specific examples from your past work that highlight your hands-on experience with securing APIs and distributed systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Ask Smart Questions
Come prepared with insightful questions about the company’s approach to AI security and their current projects. This not only demonstrates your interest but also gives you a chance to assess if the role aligns with your career goals.
✨Be Ready for Technical Challenges
Expect some technical questions or even practical tests related to AI security tooling and threat modelling. Practise common scenarios you might face in the role, so you can confidently tackle any challenges thrown your way during the interview.
