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- Tasks: Enhance AI security platforms and collaborate on innovative cloud-native security services.
- Company: Join a world-leading organisation with a progressive culture.
- Benefits: Competitive daily rate, hybrid work model, and professional development support.
- Why this job: Make a real impact in AI security while working with cutting-edge technologies.
- Qualifications: Experience in cybersecurity, Python proficiency, and knowledge of AI/ML frameworks.
- Other info: Dynamic environment with opportunities for career growth and innovation.
6 Month contract initially
Location: Hybrid - Max 2-3 days p/w onsite in Knutsford
Rate: £600 - £630 p/d (via Umbrella company)
We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference.
Key Responsibilities:
- Drive enhancements to the AI/GenAI security platform and scanning infrastructure, ensuring alignment with strategic goals and approved budgets.
- Work alongside engineers to contribute to design, build, and optimise cloud-native Data & GenAI Security services.
- Support stakeholders in leveraging and adopting the latest Data & GenAI Security cloud-native application architectures.
- Ensure all Data Security architecture and cloud infrastructure accommodates the latest security and software lifecycle patterns.
Key Skills & Experience:
- Experience conducting threat modelling, penetration testing, and vulnerability assessments across AI/ML ecosystems, including data pipelines, model APIs, and supporting infrastructure.
- Hands on expertise with core cybersecurity technologies, such as firewalls, SIEM platforms, IDS/IPS, and related security tooling.
- Proficiency in Python, with the ability to develop automation, security tooling, and data driven scripts.
- Strong understanding of secure software development practices, including OWASP principles and DevSecOps methodologies integrated into CI/CD workflows.
- Experience securing cloud and AI workloads on major cloud platforms such as AWS and Azure.
- Working knowledge of machine learning concepts, data processing techniques, and common AI/ML frameworks (e.g., PyTorch, Scikit learn, LangChain) - considered a strong advantage.
Threat Analysis & Vulnerability Assessment:
- Conduct regular threat assessments to identify vulnerabilities in AI/ML systems.
- Develop benchmarks, tools and scripts to automate vulnerability testing for AI/ML applications.
- Perform code reviews and penetration testing of AI-related software.
Research & Development:
- Stay updated on emerging trends, technologies, and best practices in AI/ML security.
- Execute PoCs/PoVs to evaluate emerging trends, technologies and practices in the industry.
- Create high quality technical documentation and user guides.
- Contribute to the development of cutting-edge AI/ML security tools and techniques.
This is an excellent opportunity on a great project of work. If you are looking for your next exciting opportunity, apply now for your CV to reach me directly, we will respond as soon as possible.
AI Security Engineer employer: LA International
Contact Detail:
LA International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Security Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and cybersecurity fields. Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI security. Whether it's GitHub repos or case studies, having tangible evidence of your expertise can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common questions specific to AI security roles. Think about how you would tackle real-world problems, like threat modelling or vulnerability assessments. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you a better chance of getting noticed by recruiters.
We think you need these skills to ace AI Security Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Security Engineer role. Highlight your experience with threat modelling, penetration testing, and any relevant cloud security work. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of projects where you’ve used Python for automation or secured cloud workloads. This helps us see your practical experience in action.
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. Keep it concise but impactful – we love a good story!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us. Let’s get your application rolling!
How to prepare for a job interview at LA International
✨Know Your Stuff
Make sure you brush up on your technical skills, especially around threat modelling, penetration testing, and vulnerability assessments. Be ready to discuss your hands-on experience with cybersecurity technologies like firewalls and SIEM platforms, as well as your proficiency in Python.
✨Showcase Your Projects
Prepare to talk about specific projects where you've contributed to AI/ML security. Highlight any benchmarks, tools, or scripts you've developed for automating vulnerability testing. Real-world examples will make you stand out!
✨Stay Current
Keep yourself updated on the latest trends in AI/ML security. Be prepared to discuss emerging technologies and best practices, and maybe even share your thoughts on how they could be applied in the role you're interviewing for.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the company’s approach to AI security. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
