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    Machine Learning Engineer at Cydar Medical (Barrington, UK)
    Cydar Medical Employer
    Barrington, UK
    Job Type
    Job Location
    Full Time
    Barrington, UK

    Job Description:

    Responsibilities



    • 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

    Benefits:

    Certificate
    Flexible Hours
    Letter of Recommendation
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