Senior Machine Learning Scientist - Brook Green - RedTech Recruitment Ltd

    RedTech Recruitment Ltd
    RedTech Recruitment Ltd Brook Green

    1 week ago

    Full time
    Description

    A fantastic opportunity for a Senior Machine Learning Scientist to work for a health-tech software company developing advanced machine learning models used within clinical research.

    The organisation applies modern machine learning techniques to complex medical datasets to support better understanding of patient outcomes and treatment response.


    This is a research-focused role, ideal for candidates who enjoy developing novel deep learning approaches and translating academic research into applied machine learning solutions.

    You will work on large-scale models and high-performance compute, with the opportunity to publish research while collaborating with engineering teams to ensure work can be taken forward into real-world use.

    Location: 1 day per week in London, remainder remote (UK based)

    Salary:
    £70,000 – £90,000 per annum, with flexibility for the right candidate, plus benefits

    Requirements for Senior Machine Learning Scientist:
    Strong experience in research and development of computer vision machine learning models

    Experience implementing state-of-the-art deep learning models in PyTorch

    Experience training large models across multiple GPUs and compute nodes

    Deep understanding of machine learning theory including linear algebra, probability, statistics and optimisation

    Experience with deep learning for computer vision, ideally including 3D imaging and or self-supervised learning

    Strong Python and PyTorch skills, with the ability to read and write high-quality training code

    Experience writing and maintaining production-grade Python code, including optimising training performance

    Experience working with modern development workflows including pull requests, code reviews, documentation and ticketing

    Experience working in cloud environments

    Strong Linux and Git skills alongside modern Python development tooling

    Proactive, self-sufficient and communicative working style

    Strong English written and verbal communication skills

    MSc or PhD in Computer Science or a closely related subject

    Responsibilities for Senior Machine Learning Scientist:
    Research and develop advanced deep learning and computer vision models applied to complex medical data

    Work on self-supervised pre-training and supervised learning tasks such as segmentation, classification and regression

    Translate academic research into robust and usable machine learning solutions

    Publish research outcomes in leading conferences and journals

    Collaborate with engineering teams to support downstream deployment and application of models

    Keep up to date with developments in machine learning research and apply them where appropriate


    What the role offers:
    A genuinely research-led machine learning position

    Opportunity to publish high-quality research

    Exposure to large-scale datasets and high-performance compute environments

    Hybrid working with a remote-first setup

    Competitive salary with flexibility for exceptional candidates


    Applications:


    If you would like to apply for this unique Machine Learning Scientist role then please send your CV via the relevant links.

    We're committed to creating an inclusive and accessible recruitment process.

    If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job board, full contact details are readily available on our website).


    Keywords:
     Senior Machine Learning Scientist / Machine Learning Scientist / Research Scientist / Applied Research Scientist / Machine Learning Researcher / AI Research Scientist / Computer Vision Scientist / Deep Learning Scientist / AI Scientist / ML Research Engineer / Python / PyTorch / Deep Learning / Computer Vision / 3D Imaging / Volumetric Imaging / Self-Supervised Learning / Representation Learning / Foundation Models / Segmentation / Classification / Regression / GPU Training / Distributed Training / Multi-GPU Training / High Performance Computing / Cloud Machine Learning / Linux

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