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- Tasks: Design and implement security solutions for AI and cloud systems.
- Company: Leading financial organisation investing in AI and next-gen security.
- Benefits: Flexible working, competitive pay, and career growth opportunities.
- Other info: Collaborative culture with high visibility across teams.
- Why this job: Tackle exciting AI security challenges and influence strategy.
- Qualifications: Strong programming skills, cloud experience, and a passion for security.
The predicted salary is between 70000 - 90000 £ per year.
Location: UK (Hybrid / Flexible Working)
Level: Senior
Sector: Financial Services
We are working with a large, highly regulated financial organisation that is investing heavily in AI, cloud and next-generation security. They are looking to appoint an AI Security Engineer to help design, deliver and evolve security solutions that protect complex systems and sensitive data at scale. This role sits within a central security function responsible for safeguarding innovation, including GenAI and advanced data platforms and plays a critical part in shaping secure-by-design engineering across the business.
The Role
As an AI Security Engineer, you'll provide technical leadership and hands-on engineering across security architecture, cryptography, IAM and cloud-native platforms. You'll work closely with engineers, data scientists and security stakeholders to embed strong controls while enabling innovation.
Key responsibilities include:
- Acting as a subject matter expert on security engineering patterns and best practice
- Designing and implementing solutions to protect systems, APIs and sensitive data
- Performing security audits, vulnerability assessments and supporting incident response
- Driving the adoption of modern cryptographic technologies and techniques
- Developing, implementing and maintaining Identity & Access Management (IAM) solutions
- Ensuring security controls align with regulatory requirements and business objectives
- Influencing stakeholders and contributing to security policy, governance and risk mitigation
Skills & Experience Required
- Strong programming and scripting skills (Python and Bash essential)
- Solid experience with cloud platforms – AWS and/or Azure
- Strong understanding of API development and security
- Experience designing or implementing security controls in complex environments
- Knowledge of, or strong interest in, data science and AI-driven systems
- Comfortable operating in regulated, enterprise-scale environments
- Able to communicate complex and sensitive technical topics to senior stakeholders
Why Apply?
- Work on cutting-edge AI and GenAI security challenges
- Influence security strategy within a large-scale, enterprise environment
- High-impact role with strong visibility across engineering and leadership teams
- Flexible working arrangements and a strong culture of collaboration
- Competitive compensation and long-term career development
AI Security Engineer in London employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Security Engineer 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, especially those related to AI 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 specific to AI security. Practice explaining complex concepts in simple terms – it’s all about making sure everyone’s on the same page!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace AI Security Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Security Engineer role. Highlight your programming skills, cloud experience, and any relevant projects that showcase your expertise in security architecture and cryptography.
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 aligns with our mission at StudySmarter. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Don’t shy away from showcasing your technical prowess! Include examples of your work with Python, Bash, and cloud platforms like AWS or Azure. We want to see how you’ve tackled security challenges in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Nigel Frank
✨Know Your Tech Inside Out
Make sure you brush up on your programming and scripting skills, especially in Python and Bash. Be ready to discuss your experience with cloud platforms like AWS and Azure, as well as your understanding of API security. The more confident you are in these areas, the better you'll impress the interviewers.
✨Showcase Your Security Expertise
Prepare to talk about your previous experiences with security architecture, cryptography, and IAM solutions. Have specific examples ready that demonstrate how you've designed and implemented security controls in complex environments. This will show that you can bring valuable insights to their team.
✨Understand the Business Context
Familiarise yourself with the financial services sector and the regulatory requirements that come with it. Being able to connect your technical knowledge to business objectives will help you stand out. Show them that you understand how security impacts innovation and compliance.
✨Communicate Effectively
Practice explaining complex technical topics in a way that's easy for non-technical stakeholders to understand. This is crucial, as you'll need to influence various teams and contribute to security policy. Clear communication can set you apart from other candidates.