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- Tasks: Own key areas of security architecture and threat response in a fast-paced AI environment.
- Company: Join a cutting-edge AI company scaling rapidly with innovative projects.
- Benefits: Enjoy hybrid work, flexible hours, and great perks while shaping the future of AI security.
- Why this job: Be at the forefront of AI innovation and influence security practices in a collaborative culture.
- Qualifications: Proven experience in cyber security, especially in AI/ML environments, with relevant certifications preferred.
- Other info: Work 2 days onsite in Central London, collaborating with top minds in the industry.
The predicted salary is between 72000 - 108000 £ per year.
Cyber Security Engineer – AI Sector | Hybrid (2 Days Onsite in London) | Up to £100k + Benefits
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 (Contract) 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 (Contract)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning security. Understanding the specific 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
Prepare to discuss your experience with cloud security, particularly AWS and GCP. Be ready to share specific examples of how you've implemented security measures in cloud environments, as this is a key requirement for the position.
✨Tip Number 4
Showcase your collaborative skills by preparing examples of past projects where you worked cross-functionally with software engineers or product teams. This will demonstrate your ability to integrate security into various stages of development.
We think you need these skills to ace Cyber Security Engineer (Contract)
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 AI and cyber security. 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 quantifiable achievements to illustrate your impact.
Highlight Continuous Learning: Mention any ongoing education or training related to cyber security, especially in the context of AI and machine learning. This shows your commitment to staying updated in a rapidly evolving field.
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with securing AI/ML environments in detail. Highlight specific projects where you've implemented security best practices, and be ready to explain your approach to threat modelling and risk identification.
✨Demonstrate Collaboration Skills
Since this role requires working closely with DevOps and AI engineering teams, share examples of how you've successfully collaborated with cross-functional teams in the past. Emphasise your ability to communicate complex security concepts to non-technical stakeholders.
✨Familiarise Yourself with Cloud Security
Given the emphasis on cloud security (AWS/GCP), brush up on your knowledge of these platforms. Be ready to discuss your experience with IAM, SIEM, and any relevant certifications you hold that demonstrate your expertise in cloud security.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about potential security threats in AI/ML pipelines and how you would address them, as well as your approach to secure coding practices and container security.
