🚀 Machine Learning Engineer

Machine Learning Engineer

We are working with a new start up company who are developing state-of-the-art medical devices to monitor health systems.

Experience Required:

• MSc or PhD in ML, Biomedical Engineering, or related field

• Strong experience with PyTorch/TensorFlow and Python

• Hands-on experience with TinyML or edge ML frameworks (TFLite, TVM, etc.)

• Skilled in model optimization for constrained devices

• Comfortable in a startup environment - proactive, collaborative, and adaptable

What you'll do:

• Build and optimize deep learning models for on-device biosignal monitoring

• Work on model compression, quantization, and other techniques for edge deployment

• Collaborate closely with the CTO and technical team to deploy models in production

• Contribute across the stack - from signal processing to product and hardware integration

• Help shape the direction of a fast-moving startup
  

Desired Skills and Experience
On Device, TinyML, Optimisation, Audio