On-Device ML Engineer, Federated Learning

Manchester / Los Angeles • Full-Time

About the role

Build federated and on-device learning so models improve without centralising sensitive neural or operational data.

Responsibilities

• Design federated update loops
• Evaluate drift and leakage risk
• Ship learning that stays on the device whenever it can

Requirements

• On-device ML, federated learning, or privacy-preserving training experience
• Strong Python plus mobile/embedded deployment