On-Device ML Engineer, Federated Learning — Manchester/Los Angeles

NeuroDOCTRINE; Manchester; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

NeuroDOCTRINE in Manchester/Los Angeles is seeking an On-Device ML Engineer focused on federated learning to keep models on the device and protect sensitive data. You will design federated update loops and evaluate drift and leakage risk.

Proficiency in Python with mobile/embedded deployment, plus experience in privacy-preserving training, is required. The founder reads every application; CV is required.

Qualifications

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

Responsibilities

• Design federated update loops, evaluate drift and leakage risk, and ship learning that stays on the device whenever it can.

Skills

On-device ML

Federated learning

Python

Mobile deployment

Embedded deployment

Job description

On-Device ML Engineer, Federated Learning

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

What you’ll do

Design federated update loops, evaluate drift and leakage risk, and ship learning that stays on the device whenever it can.

What you’ll bring

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

Apply for On-Device ML Engineer, Federated Learning — Manchester/Los Angeles

A founder reads every application. CV required.

First name Last name

Apply for On-Device ML Engineer, Federated Learning — Manchester/Los Angeles

A founder reads every application. CV required.

First name Last name Email Phone LinkedIn (optional) Cover letter CV (PDF or Word, under 4MB)