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- Tasks: Develop security tools for AI systems and ensure compliance with ML security standards.
- Company: Join our innovative team at the forefront of Machine Learning and Security.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Be part of a mission to secure AI and make a real impact in technology.
- Qualifications: Background in Computer Science or Machine Learning with a passion for cybersecurity.
- Other info: Dynamic environment with hands-on projects and collaboration across teams.
The predicted salary is between 36000 - 60000 £ per year.
Join our Innovation Team, where we explore cutting-edge concepts at the intersection of Machine Learning and Security. Our mission is to develop forward-looking solutions—such as model protection, privacy-preserving ML, security for agentic AI, and anomaly detection—that will later be integrated into our Edge products. This requires high-level innovation skills combined with a hands-on mindset. If you are passionate about building secure AI systems, exploring new ideas, and turning concepts into prototypes, this role is for you:
- Develop security tools and frameworks for Bring Your Own Model (BYOM) workflows and perform threat modeling for ML pipelines.
- Ensure proactive detection of vulnerabilities and compliance with emerging ML security standards.
Responsibilities
- Build security scanning tools for ML artifacts and deployment workflows.
- Design secure APIs for model integration on embedded platforms.
- Perform threat modeling for ML systems (poisoning, evasion, prompt injection).
- Implement monitoring solutions for model integrity and anomaly detection.
- Ensure compliance with NIST AI Risk Management Framework and similar standards.
- Collaborate with internal teams to integrate security checks into development pipelines.
Required Skills
- Have a background in Computer Science, Cybersecurity, or Cryptography and a strong interest in applied ML, OR
- Have a background in Machine Learning and an interest in cybersecurity.
- Strong Python development for automation and tooling.
- Experience with threat modeling methodologies adapted for ML systems.
- Knowledge of adversarial ML attacks and defenses.
- Familiarity with secure API design and integration.
- Understanding of compliance frameworks (NIST AI RMF, ISO/IEC AI security standards).
Junior Embedded AI Platform Security Engineer (m/f/d) in Glasgow employer: NXP Semiconductors N.V.
Contact Detail:
NXP Semiconductors N.V. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Embedded AI Platform Security Engineer (m/f/d) in Glasgow
✨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 showcasing your projects related to AI security or threat modeling. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to ML security and threat modeling. Practice explaining your thought process clearly and confidently—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Junior Embedded AI Platform Security Engineer (m/f/d) in Glasgow
Some tips for your application 🫡
Show Your Passion for AI and Security: When writing your application, let us see your enthusiasm for both AI and security. Share any projects or experiences that highlight your interest in these areas, especially if they relate to the responsibilities listed in the job description.
Tailor Your CV and Cover Letter: Make sure your CV and cover letter are tailored specifically for this role. Highlight relevant skills like Python development, threat modeling, and any experience with ML systems. We want to see how you fit into our Innovation Team!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. Remember, we appreciate a straightforward approach!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at NXP Semiconductors N.V.
✨Know Your Stuff
Make sure you brush up on your knowledge of Machine Learning and Cybersecurity. Be ready to discuss specific concepts like threat modeling and adversarial ML attacks. Showing that you understand the technical details will impress the interviewers.
✨Showcase Your Projects
If you've worked on any relevant projects, whether in school or on your own, be prepared to talk about them. Highlight how you approached security challenges in those projects, especially if they relate to ML systems or secure API design.
✨Ask Smart Questions
Prepare some insightful questions about the company's approach to AI security and their current projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
✨Practice Problem-Solving
Expect some technical questions or scenarios during the interview. Practise explaining your thought process when tackling security issues in ML systems. This will demonstrate your hands-on mindset and innovative thinking.
