Senior Machine Learning Engineer

Qureight is a MedTech company based in Cambridge, UK. It was founded by medical doctors in 2018. Our mission is to combine platform technology and life sciences to generate new insight and transform the way we use clinical data to improve the lives of patients with complex diseases. Qureight utilises AI and Machine Learning technology to curate and analyse clinical imaging data to better understand complex heart and lung diseases which allows bio-pharma and academic institutions to obtain new insights into diseases and response to treatment.

We are building a cloud-based platform which allows clients to upload, curate and analyse their data using advanced ML techniques. We are looking for experienced developers to help design, implement and deploy our platform, REST APIs and web-based UI. The role will involve working with Python and AI frameworks, model research, contributing to publications and integration of models into a production quality platform. You will be able to work with other AI experts and feel at home working with cloud-based software stack.

Role

• Application of deep learning algorithms, deep image processing and/or machine learning
• Proficiency in Deep Learning Frameworks (Pytorch, Tensorflow, Monai etc). Specific knowledge of image segmentation using CNNs.
• Programming in Python middleware (Flask/Django), Javascript (server-side or client-side)
• Medical imaging, DICOM, ITK / SimpleITK / VTK

Here are some signs you might love to work with us:

• You are excited to work in an innovative start-up in one of the most exciting cities in the world  You enjoy working with a multidisciplinary team and collaborating with your colleagues
• You can work independently to drive projects to completion
• You want to work in a company who wants to make a real difference in people’s lives

Minimum Requirements 

• Minimum MSc or PhD in Machine Learning 
• 2 years commercial or Post Doc experience
• Medical Imaging experience or exposure
• Full right to work in the UK without restriction, time limit, or sponsorship 
• Produce maintainable, testable, documented, production-grade code Strong written and verbal communication skills 
• Data science, AI, deep learning or machine learning experience either through your job or personal interest, for example Coursera, Udemy or fast.ai courses

Preferred skills and experience

• Comfortable with Linux-based operating systems
• Experience with git 
• Software design and peer code review skills
• Experience with automated testing and test-driven development in Python 
• Understanding of time, RAM, and I/O scalability aspects of data science applications (e.g., CPU and GPU acceleration, operations on sparse arrays, model serialization and caching) 
• Experience of working in a team using agile methodologies 
• Have used CI and deployed infrastructure as code (e.g., terraform)

What can we offer you? •

• Flexible working hours 
• Remote working possibilities for part of the week
• 25 days annual leave, plus bank holidays 
• Contributory pension
• Beautiful office in the heart of Cambridge (1 min from station) 
• Opportunities for personal development and academic collaborations in a vibrant and fast-acting company
• Opportunities for personal and professional development as we rapidly scale the company
• The chance to join a friendly, motivated group of people on a mission for universal good in healthcare
• Experience in a highly regulated industry where high-quality code is a must 
• Discretionary employee share options scheme