Cryptography Specialist / Privacy Engineer

LinearLabs is a research driven innovation lab dedicated to developing intelligent systems that adapt in real-time to real world challenges. By combining expertise in AI, remote sensing, simulation, and systems thinking, LinearLabs empowers industries to become more agile, efficient, and innovative. Our mission is to enable smarter operations and drive value creation at the intersection of technology and practicality.

We are solving one of AI's most fundamental challenges: how to harness the power of collaborative learning without exposing sensitive data. Organisations across the world hold valuable information that could unlock breakthrough discoveries, but privacy regulations, ethical concerns, and security requirements mean traditional centralised approaches are off the table.

That's where federated learning with cryptographic guarantees comes in. It's not just a technical solution; it's a paradigm shift. Imagine hospitals collaborating on disease detection models without sharing patient records. Research institutions advancing scientific discovery while protecting proprietary data. Conservation efforts leveraging insights across organisations without compromising sensitive locations.

The Mission: You'll architect and deploy a cryptographically secure federated learning system that makes the impossible possible. This isn’t academic theory. This is production infrastructure that needs to work in the real world, with real failures and real stakes.

What you will build:

• Privacy Infrastructure That Actually Works

• Design and implement GPU accelerated Trusted Execution Environments for processing hyperspectral imagery
• Build differential privacy mechanisms with formal guarantees
• Keep processing overhead under 5x vs. non-private baseline
• Pass independent cryptographic security audit no handwaving, no shortcuts

• Deploy secure federated learning protocol across conservation sites
• Implement encrypted gradient computation and Byzantine robust aggregation
• Monitor for gradient inversion attacks and side channel leaks
• Handle real-world chaos: network dropouts, corrupted data, system crashes

• Validate privacy guarantees against membership inference and model inversion attacks
• Document security architecture for nationwide deployment
• Co-author peer-reviewed publication and present at top security conferences

You Have:

• PhD or Master’s in computer Science, Information Security, Applied Mathematics, or related field
• Strong implementation skills and you write production code (C++, Python), not just theory
• Deep understanding of cryptographic protocols and security systems
• Hands-on experience with at least one: Trusted Execution Environments (SGX, SEV), Differential Privacy implementation, Secure multi-party computation, or Privacy preserving ML

Bonus Points For:

• Federated learning experience
• Published research in privacy/security venues (IEEE S&P, USENIX Security, CCS, PETS)
• Security auditing or penetration testing background

Must have: The ability to explain complex cryptographic concepts to non-technical stakeholders. You'll be working with conservation biologists and policy makers, not just other cryptographers.

What we offer:

• Pension contributions
• Flexible working London based
• Conference travel and publication support
• Professional Growth
• First author publication opportunities in top venues
• Present at major security conferences
• Design the technical architecture this is your domain
• Work directly with real end users and see your work make immediate impact