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