Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Own security architecture and threat response in a cutting-edge AI environment.
- Company: Join a fast-scaling AI company backed by top venture capitalists.
- Benefits: Enjoy hybrid work, flexible hours, and great perks.
- Why this job: Shape the future of cyber security while collaborating with brilliant minds.
- Qualifications: Experience in cyber security, especially in AI/ML environments, is essential.
- Other info: Work 2 days onsite in Central London, influencing security from the ground up.
The predicted salary is between 60000 - 84000 £ per year.
I’m working with a cutting-edge AI company who are scaling fast – and with that growth comes the increasing need for a seasoned Cyber Security Engineer to strengthen their security capabilities. This is a hybrid role (2 days per week onsite in their Central London office), offering the chance to work at the forefront of AI innovation while owning key areas of security architecture, detection, and threat response.
The Opportunity: This is not your average Cyber Security role. My client operates in a highly complex, high-volume AI environment – think machine learning at scale, proprietary models, and an R&D-heavy roadmap. As the Cyber Security Engineer, you’ll help define and implement security best practices, proactively identify risks in AI/ML pipelines, and work closely with DevOps and AI engineering teams to embed security at every layer.
What They’re Looking For:
- Proven experience as a Cyber Security Engineer or in a similar security-focused role
- Strong understanding of securing AI/ML environments – from data pipelines and training environments to model deployment
- Experience with cloud security (AWS/GCP preferred), IAM, SIEM, and threat modelling
- Knowledge of secure coding practices, container security (Docker/Kubernetes), and infrastructure as code
- Ability to collaborate cross-functionally with software engineers, ML researchers, and product teams
- Relevant certifications are a bonus – think CISSP, GSEC, OSCP, or GCP/AWS Security certs
Why This Role?
- Join a growing AI company backed by leading VCs
- Shape and influence the cyber security roadmap from the ground up
- Work alongside brilliant minds in AI and software engineering
- Flexible working, great benefits, and a genuinely innovative culture
Cyber Security Engineer employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cyber Security Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning security. Understanding the unique challenges and vulnerabilities in these areas will help you stand out during discussions with the hiring team.
✨Tip Number 2
Network with professionals in the AI and cyber security fields. Attend relevant meetups or webinars to connect with industry experts, which could lead to valuable insights and potential referrals for the role.
✨Tip Number 3
Showcase your hands-on experience with cloud security platforms like AWS or GCP. If you have worked on projects involving IAM, SIEM, or threat modelling, be prepared to discuss these in detail during interviews.
✨Tip Number 4
Prepare to demonstrate your collaborative skills. Since this role involves working closely with DevOps and AI engineering teams, think of examples where you've successfully partnered with cross-functional teams to achieve security objectives.
We think you need these skills to ace Cyber Security Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Cyber Security Engineer, particularly in AI/ML environments. Emphasise relevant skills such as cloud security, secure coding practices, and any certifications you hold.
Craft a Compelling Cover Letter: In your cover letter, express your passion for cyber security and AI. Mention specific projects or experiences that demonstrate your ability to identify risks in AI/ML pipelines and collaborate with cross-functional teams.
Showcase Relevant Experience: When detailing your work history, focus on roles where you implemented security best practices or worked with DevOps and AI engineering teams. Use metrics to quantify your impact, such as improvements in security posture or risk reduction.
Highlight Continuous Learning: Mention any ongoing education or training related to cyber security, especially in the context of AI and machine learning. This could include online courses, workshops, or relevant certifications that showcase your commitment to staying updated in the field.
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Showcase Your Technical Skills
Be prepared to discuss your experience with securing AI/ML environments. Highlight specific projects where you've implemented security best practices, especially in data pipelines and model deployment.
✨Understand the Company’s Focus
Research the company’s AI innovations and their approach to cyber security. This will help you tailor your answers and demonstrate your genuine interest in their work and how you can contribute.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would handle potential threats in an AI environment and be ready to explain your thought process.
✨Highlight Collaboration Experience
Since the role involves working closely with DevOps and AI engineering teams, share examples of how you've successfully collaborated across different functions in previous roles. This shows you can work well in a team-oriented environment.
