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Machine Learning Engineer

Machine Learning Engineer

Job TypePermanent
Real Time Recruitment Solutions https://www.rtrs.co.uk

Are you an experienced machine learning / artificial intelligence practitioner? Joining the Electronics UK business side of a world leading Aerospace and Defence company.. The successful candidates will take a prominent role in delivering world leading sensor solutions across a variety of military platforms in a collaborative, agile environment.

You role will be to lead the implementation of AI/ML technologies into specialist software products, these products are a major contributor to aircraft survivability and enhancing future mission effectiveness.  

     What you will do

    • You will lead the scoping, implementation and strategic planning of AI/ML technologies for incorporation into different sensor products.
    • You will identify opportunities within complex data sets and leverage industry leading COTS technologies to deliver advanced analytic capabilities to the forefront of Aircraft defensive systems.
    • You will support the development of early careers engineers leveraging your experience and skills to create a core AI/ML capability within the business.

     What we are looking for

    • People with experience of and a passion for developing machine learning and artificial intelligence solutions.
    • You should have a degree level qualification (or equivalent) in mathematics, physics, computer science, engineering or a related discipline and a desire to learn and share knowledge with others.
    • Due to the nature of the tasks involved, you must be able to satisfy the necessary security clearance for the role and meet a minimum of 5 years permanent residency in the UK.

    In addition you will be expected to have some of the following skills:

    • Strong numerical, analytic and problem solving skills for algorithm development.
    • Signal processing, image processing, data processing, high performance computing; or scientific or mathematical libraries for numerical computing, simulation or optimisation problems.
    • Programming in Python, Matlab or C/C++.
    • Machine learning frameworks such as Pytorch, Keras/Tensorflow.
    • Matlab Deep Learning framework.
    • Common neural network architectures.
    • Embedded systems, edge computing or cloud computing.
    • High performance computing hardware including parallel computing/multi-processing, GPU acceleration.
    • Software development lifecycle and Dev Ops.
    • Real-time systems with sensors, internet of things or imaging applications (infrared, Lidar, Radar, radio frequency).


    Systems Engineering
    2021-06-25
    2021-06-25
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    Author
    Dylan Wagster

    Account Delivery Consultant