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- Tasks: Design secure AI systems and develop innovative ML protection strategies.
- Company: Join a forward-thinking team at the forefront of AI and security.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact in the exciting field of AI security and privacy.
- Qualifications: Background in Computer Science or Machine Learning with a passion for cybersecurity.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 ÂŁ 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.
Responsibilities- Design and implement model obfuscation and secure packaging techniques.
- Develop IP protection strategies.
- Enable secure execution environments for customer models using TEEs.
- Assess and mitigate adversarial ML threats (evasion, poisoning attacks).
- Define privacy‑preserving inference mechanisms (e.g., differential privacy).
- Advise on compliance with AI security and privacy regulations (GDPR, EU AI Act).
- 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.
- Knowledge of model protection techniques and IP security.
- Familiarity with adversarial ML attacks and defenses.
- Understanding of TEEs and secure enclaves.
- Knowledge of privacy‑preserving ML concepts (differential privacy, federated learning basics).
- Aware of regulatory frameworks for AI security and privacy.
Please note: The successful candidate may/will be responsible for security related tasks. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary.
Seniority Level: Mid‑Senior level
Employment Type: Full‑time
Location: Glasgow, Scotland, United Kingdom
ML Model Security & Privacy Architect (m/f/d) in Glasgow employer: NXP Semiconductors
Contact Detail:
NXP Semiconductors Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Model Security & Privacy Architect (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. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to ML security and privacy. We love seeing hands-on work, so make sure to highlight any innovative solutions or prototypes you've developed.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI security and privacy. We want to see your passion and knowledge shine through, so be ready to discuss how you can contribute to our cutting-edge projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see what you bring to the table, so don’t hold back!
We think you need these skills to ace ML Model Security & Privacy Architect (m/f/d) in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the ML Model Security & Privacy Architect role. Highlight your background in Computer Science, Cybersecurity, or Cryptography, and don’t forget to mention any hands-on projects related to model protection or privacy-preserving ML.
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for building secure AI systems. Share specific examples of how you've tackled challenges in ML security or privacy, and explain why you're excited about joining our Innovation Team.
Showcase Your Knowledge: In your application, demonstrate your understanding of key concepts like adversarial ML attacks, TEEs, and privacy-preserving mechanisms. This will help us see that you’re not just familiar with the terms, but that you can apply them in real-world scenarios.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it shows us you’re keen on being part of our team!
How to prepare for a job interview at NXP Semiconductors
✨Know Your Stuff
Make sure you brush up on your knowledge of model protection techniques and privacy-preserving ML concepts. Be ready to discuss how you would implement secure packaging techniques or assess adversarial ML threats. Showing that you understand the technical details will impress the interviewers.
✨Show Your Passion
Let your enthusiasm for building secure AI systems shine through. Share examples of projects or ideas you've worked on that relate to the role. This will help convey your genuine interest in the field and your hands-on mindset, which is crucial for this position.
✨Understand the Regulations
Familiarise yourself with AI security and privacy regulations like GDPR and the EU AI Act. Be prepared to discuss how these regulations impact your work and how you would advise on compliance. This shows that you’re not just technically savvy but also aware of the broader implications of your work.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to security and privacy in ML. This could be about their current projects or future innovations. Asking insightful questions demonstrates your critical thinking skills and genuine interest in contributing to their mission.
