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KO2 Embedded Recruitment Solutions Ltd

Edge AI Engineer

KO2 Embedded Recruitment Solutions Ltd Butterrow
50,000 to 70,000
32 - 40 hour


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    KO2 Embedded Recruitment Solutions Ltd

    Edge AI Engineer

    KO2 Embedded Recruitment Solutions Ltd Butterrow
    50,000 to 70,000
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £50,000 to £70,000
    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    Edge AI Engineer | Fast-Growing Tech Company

    Location: Stroud, Gloucestershire

    Salary: Up to £70,000

    About the Company

    KO2's client is a rapidly expanding technology company based in Stroud, developing cutting-edge intelligent systems that sit at the intersection of embedded engineering and artificial intelligence. With strong investment and an exciting product roadmap, they are looking to bring on an Edge AI Engineer to help shape the next generation of smart, connected devices.

    The Role

    As an Edge AI Engineer, you will design and deploy AI models directly onto embedded hardware, working closely with multidisciplinary teams across hardware, firmware, and data science. This is a hands-on role where you will take solutions from concept through to real-world deployment. You will be required to achieve SC clearance in this role, if you have it already that is ideal.

    Key Responsibilities

    Develop and optimise AI/ML models for edge devices
    Integrate sensor data into Convolutional Neural Networks (CNNs)
    Design and implement Digital Signal Processing (DSP) pipelines
    Develop and maintain microcontroller software (C/C++ or similar)
    Work on mesh networking solutions for distributed device communication
    Collaborate with hardware engineers to ensure seamless system integration
    Optimise performance for low-power, resource-constrained environmentsRequired Skills & Experience

    Strong experience in Edge AI / Embedded Machine Learning
    Proven knowledge of integrating sensor data with CNNs
    Solid understanding of Digital Signal Processing (DSP) techniques
    Knowledge or experience with mesh networking protocols
    Proficiency in C/C++ and/or Python
    Familiarity with embedded Linux is a plus
    Ability to hold SC clearance. Desirable Skills

    Experience with TinyML or similar frameworks
    Knowledge of wireless communication protocols (BLE, Zigbee, LoRa, etc.)
    Experience deploying models using TensorFlow Lite or similarIf you're passionate about bringing AI out of the cloud and into real-world devices, we'd love to hear from you. Apply now or get in touch with KO2 Recruitment for more details
    Salary description

    £50000.00 - £70000.00 per year

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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