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    Computer Vision Engineer - London, United Kingdom - Careeraddict

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    £55,000
    Description

    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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