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Machine Learning Engineer at Cydar Medical (Barrington, UK)


  • Working on a range of problems in medical image analysis: image segmentation, classification, spatiotemporal analysis, object detection, registration, etc.
  • Experimenting with modern machine learning methods to solve major challenges. The work will focus on techniques which will be incorporated into our planning and registration software.
  • Writing and maintaining in-house machine learning packages, following best practices in software development and packaging.
  • Maintaining and improving data pipelines.
  • Collaborating closely with software engineers and the QA team to ensure the highest quality of developed solutions.
  • Managing projects from concept to delivery, adhering to design requirements and deadlines.
  • Keeping up to date with the latest developments in machine learning.
  • Presenting at internal meetings, as well as external meetups and conferences.

About you

As the ideal candidate you will have a sound understanding of modern machine learning techniques. You will be passionate about applying these techniques to solve real-world problems; rigorous when prototyping and experimenting; and able to express your solutions in high quality code. As a member of the Science team at Cydar Medical, you will be expected to work collaboratively, sharing your ideas with others and learning new techniques and skills.

Essential requirements:

  • experience using Python deep learning frameworks (TensorFlow, PyTorch, etc.)
  • proficiency in Python
  • experience applying deep learning methods to real-world problems
  • strong analytical and problem-solving skills
  • knowledge of good programming practices and software development principles
  • permission to work in the United Kingdom

Desired skills:

  • image/volume processing libraries, e.g. ITK, VTK, OpenCV, scikit-image
  • modern cloud infrastructure, e.g. AWS or GCP.
  • git or other version control systems
  • Python packaging tools, e.g. virtualenv, pipenv, PyPI, poetry, etc.
  • university degree in computer science, software engineering, maths, or another relevant field
  • familiarity with other programming languages, e.g. C++, TypeScript, JavaScript, CUDA.
  • algorithm design and development

Please note that we are not working with recruitment agencies for this position. Unsolicited CVs sent by agencies will not be opened or acknowledged, and will not imply any acceptance of terms.