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Research Scientist - Computer Vision

  • Data Science
  • London
  • Permanent
  • £100,000 +
  • About the role

    Senior Applied Research Scientist (Computer Vision) – London – InsureTech - £120k

    Fancy solving some real world problems with your Computer Vision knowhow?

    We’re looking for a Senior Applied Research Scientist to join us to research and develop novel Computer Vision models to some of the most complex challenges in the insurance sector.

    We’ve been around just over half a decade and having achieved unicorn status, we’re scaling our teams which includes a number of Applied Research Scientist.

    What will I do?

    You’d be researching and developing on State of Art research in the Computer Vision field, developing models using Deep Learning methods for object classification, detection and semantic segmentation, along with implementing, training and testing Machine Learning models.

    What must I have done?

    We’d like you to have spent at least 3 years applying research in industry to real world problems, with a background in academic research which would include a PhD/MSc in a Machine/Deep Learning/Computer Vison related subject. You’ll have plenty of experience in communicating your research to noon technical stakeholders and will have a deep understanding of the fundamentals of Deep Learning frameworks such as Tensorflow/PyTorch/Theano.

    You’d have experience with the following:

    • Deep Learning frameworks – (Tensorflow, PyTorch, Neural Networks)
    • Real time object detection – (Faster-RCNN, YOLO, Single shot detection (SSD) EfficientNet)
    • State-of-the-art in Computer Vision (AlexNET, ResNET, InceptionNET etc)
    • Python libraries (NumPy, SciPy, SKLearn etc) 

    What will I receive?

    Along with a competitive salary, being a startup you will receive:

    • Equity
    • Extensive Private Medical
    • Flexible working
    • Learning & Development budget
    • And loads more softer benefits

     

    Ok I’m interested, what do I do now?

    Great! Get in touch by clicking the ‘apply now’ button or:

    Please note: You must be residing in the UK to be considered for this position.