Machine Learning Engineer

    0
    755

    Intelletec
    A Leading Insurer are looking to add a talented Machine Learning Engineer to their team in London. You will be designing and developing disruptive AI-first products. This is an opportunity to thrive, utilising the most advanced R&D, enabling you to make a significant difference to the business and wider industry. The Role and Your Responsibilities
    Demonstrate end to end understanding of Machine Learning Algorithm applications Individual contributor to solution development and technology roadmap Design and deliver training and workshops Parter with Machine Learning researchers, testing methods applied to key problems within Insurance and Investments. Employ both statistical and machine learning methodologies to answer business questions QA – Contribute to Peer Review process to ensure code quality
    Skills and Experience
    Formalise learning problems with Mathematical notation Expertise in Python, C++ and Java Engineering for scale using AWS Knowledge of Gulp, Grunt, Jenkins, CodePipeline Advanced knowledge of algorithms and data structures with Machine Learning evaluation metrics and best-practice Masters Degree with industry experience
    Salary
    Base Salary £100k+ depending on experience Good bonus package Great benefits on offer Supportive learning environmentIntelletec
    A Leading Insurer are looking to add a talented Machine Learning Engineer to their team in London.

    You will be designing and developing disruptive AI-first products.

    This is an opportunity to thrive, utilising the most advanced R&D, enabling you to make a significant difference to the business and wider industry.

    The Role and Your Responsibilities

    • Demonstrate end to end understanding of Machine Learning Algorithm applications
    • Individual contributor to solution development and technology roadmap
    • Design and deliver training and workshops
    • Parter with Machine Learning researchers, testing methods applied to key problems within Insurance and Investments.
    • Employ both statistical and machine learning methodologies to answer business questions
    • QA – Contribute to Peer Review process to ensure code quality

    Skills and Experience

    • Formalise learning problems with Mathematical notation
    • Expertise in Python, C++ and Java
    • Engineering for scale using AWS
    • Knowledge of Gulp, Grunt, Jenkins, CodePipeline
    • Advanced knowledge of algorithms and data structures with Machine Learning evaluation metrics and best-practice
    • Masters Degree with industry experience

    Salary

    • Base Salary £100k+ depending on experience
    • Good bonus package
    • Great benefits on offer
    • Supportive learning environment

    Read More