Job Title

Machine Learning Engineer – Computer Vision

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Charlie Ford

Data Science & AI Lead Consultant

  • Machine Learning Engineer – Computer Vision

    £ 60K - 80K
    Job ID: 03139

    My client, an AI company born in the heart of the Silicon Valley is pioneering the way for data used in the real estate and architecture industries across the globe. Using advanced data capture, AI and cloud compute technology they are able to relentlessly reduce the time and cost to generate digital building models.

    As the Machine Learning Research Engineer you would be joining the R&D team based in London to drive technical innovations to fuel the company’s product. A day in the life of this opportunity will be to apply research projects from prototyping to deploying deep learning methods applied to 2D and 3D computer vision.

    What they are looking for:

    • A passion for solving tangible problems
    • To see your research outcomes rapidly adopted by a great number of users
    • Experienced using and contributing to open source software in the arenas of machine learning or computer vision
    • Excellent real-time problem solving skills related to experimental technologies
    • Demonstrated leadership abilities
    • A desire to have a positive impact on society

    Required Skills

    • Ph.D or MSc in computer science or a quantitative field with at least 2-3 years’ experience in industry or academia
    • Substantial experience with implementing Machine Learning models in industry
    • Expert knowledge and experience with Python and ML frameworks such as tensorflow, keras, pytorch
    • Good understanding of software architecture and programming patterns
    • Knowledge of historical and modern computer vision algorithms


    • Experience with google cloud platform or similar cloud platforms
    • Practical experience with kubernetes or similar deployment technologies
    • Publications at top conferences
    • Experience with computational geometry concepts
    • Experience with large data sets, computing languages and frameworks


    • Flexible Working
    • Good holiday allowance
    • Opportunity to share ideas
    • Holiday

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