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    Computer Vision Engineer - London, United Kingdom - Technical Resources Ltd

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    Description
    Computer Vision Engineer

    Location:
    Hybrid (Camberwell office and remote work)

    Salary:
    Up to £55,000 per annum (depending on experience) + Benefits

    Company Overview
    Our client is a leading technology company focused on developing innovative in-house products to solve real-world problems. Our team is dedicated to pushing the boundaries of whats possible with cutting-edge technology and robust engineering practices.

    They are currently seeking a talented Computer Vision Engineer to join our dynamic team and help develop new features for our products.

    Role Overview

    As a Computer Vision Engineer, you will be responsible for enhancing our in-house product by developing and implementing new computer vision features.

    You will work closely with a team of engineers and data scientists to design, develop, and deploy robust computer vision solutions.

    This hybrid role requires both in-office presence in Camberwell and remote working capabilities.

    Key Responsibilities
    . Develop and implement new computer vision features for our in-house product.
    . Collaborate with cross-functional teams to design, prototype, and deploy computer vision solutions.
    . Optimize and improve existing computer vision algorithms for performance and accuracy.
    . Integrate and manage computer vision pipelines using AWS Cloud services.
    . Utilize ROS 2 for developing and managing robotic systems.
    . Use GitLab for version control and continuous integration/continuous deployment (CI/CD) processes.
    . Leverage Pytorch and Roboflow for model training, evaluation, and deployment.
    . Conduct thorough testing and debugging of computer vision applications.
    . Stay updated with the latest advancements in computer vision and related fields.

    Required Skills and Experience


    Programming Languages:
    Proficiency in Python and C++.


    Cloud Services:
    Experience with AWS Cloud infrastructure and services.


    Robotic Operating System:
    Experience with ROS 2.


    Version Control:
    Proficient in using GitLab for source code management and CI/CD.


    Machine Learning Frameworks:
    Strong experience with Pytorch.


    Data Annotation and Management:
    Experience with Roboflow or similar tools.


    Problem Solving:
    Excellent analytical and problem-solving skills.


    Collaboration:
    Strong ability to work collaboratively in a team-oriented environment.


    Communication:
    Effective verbal and written communication skills.

    Preferred Qualifications
    . Bachelors or Master's degree in Computer Science, Electrical Engineering, or a related field.
    . Experience with computer vision applications in real-world products.
    . Familiarity with Agile development methodologies.
    . Prior experience in a hybrid working environment.

    Benefits
    Competitive salary up to £55,000 per annum, depending on experience.
    Flexible hybrid working model.
    Opportunities for professional development and career progression.
    Collaborative and innovative working environment.
    Access to cutting-edge technology and tools.
    Application Process
    #J-18808-Ljbffr


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