£50000 - £60000 per annum + equity and bens
6 months ago
Machine Learning Engineer (Medical Imaging, Pathology, Python)
We are looking for a Machine Learning Engineer / Scientist (Medical Imaging, Pathology, Python) for an organisation based in central Cambridge. This company are utilising AI technology with leading research to treat a worldwide disease, affecting millions across the globe. This organisation have left stealth mode and are looking to build up a disruptive team, who are looking to save lives using Machine Learning.
This Machine Learning Engineer / Scientist will be a key leader within the AI team, with major ownership of their work whilst working colloboratively with the surrounding Deep Learning and Computer Vision Engineers and Researchers. This company has also recieved a huge round of funding and have key links to worldwide research institutes and the top-tier University on a global level.
As a Machine Learning Engineer / Scientist, you will have the opportunity to work within medical research and healthcare - providing key changes into how healthcare treatment and diagnosis is dealt with. You will be a key decision maker in the company as they develop and expand in the medical research industry, with quick progression and a flexible working environment available.
What we can offer a Machine Learning Engineer (Medical Imaging, Pathology, Python):
- Work for recognised leaders within the Medical Research indsustry
- Strong salary and package, flexible working environment, start-up culture etc.
- Work alongside the leading UK University, and a internationally recognised institution
- Work on problems that will actually save lives
Key Skills: Machine Learning Engineer / Scientist / Researcher (Medical Imaging, Pathology, Python); Machine Learning, AI, Deep Learning, Medical Imaging, Image Processing, Healthcare, Medical, Medic, Research, Researcher, PhD, Post Doctoral, Fellow, Computer Vision, Python, PyTorch, Google Cloud, AWS, Amazon Web Services, Scientist, Artificial Intelligence, ML, Deep Neural Networks, DNNs