Edge ML Engineer for Real-Time Embedded Sensing

KO2 Embedded Recruitment Solutions Ltd
Edinburgh, UK
26 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Firmware Python (Programming Language) Machine Learning Tensorflow ONNX (Open Neural Network Exchange) Format

Job description

KO2 Embedded Recruitment Solutions LTD is seeking an experienced Embedded ML engineer for an Edinburgh-based role focused on real-time, on-device sensor classification.

You will optimise models for memory and power constraints, deploy to embedded hardware, and collaborate with firmware and hardware teams. Applicants should have 5+ years in data science or ML engineering, strong Python skills, and hands-on experience with TensorFlow Lite, Edge Impulse, and ONNX Runtime.

Requirements

You will optimise models for memory and power constraints, deploy to embedded hardware, and collaborate with firmware and hardware teams. Applicants should have 5+ years in data science or ML engineering, strong Python skills, and hands-on experience with TensorFlow Lite, Edge Impulse, and ONNX Runtime. #J-18808-Ljbffr

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