Selected: đď¸ Computer Vision Engineer.
Selected: đŹđ§ United Kingdom â Remote (UK).
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Selected: đ Date Added.
đ October 19
Agentic AI Engineer building autonomous computer vision models, synthetic-data pipelines, and agentic workflows for CVEDIAâs production edge systems. Improving detectors, classifiers, and vision-language models for customers and partners.
đ Anywhere in the World
đ° Seed Round on 2018-08
â° Full Time
đĄ Mid-level
đ Senior
đď¸ Computer Vision Engineer
đť Ghost score 15%
đ October 19
Software Engineer building computer vision for CircuitHubâs robotics-powered electronics manufacturing platform. Developing inspection, picking, alignment, and real-time GPU vision systems.
đŹđ§ United Kingdom â Remote
đľ ÂŁ80k - ÂŁ125k / year
đ° $4.3M Venture Round on 2020-01
â° Full Time
đĄ Mid-level
đ Senior
đď¸ Computer Vision Engineer
đŹđ§ UK Skilled Worker Visa Sponsor
đť Ghost score 8%
We analyzed 3 job listings in the last year and found it takes about 48 days for employers to close a job opening.
We reviewed 5 job postings and found the top 10 skills employers are asking for most often are:
You need strong programming skills in languages like Python and C++, expertise in machine learning and image processing, proficiency in libraries such as OpenCV and TensorFlow, and a solid understanding of algorithms and computer vision techniques. Analytical thinking and problem-solving skills are essential.
Typically, a degree in computer science, engineering, or a related field is required. Relevant experience with computer vision projects and a strong portfolio showcasing your work are often more important than formal credentials. Certifications in machine learning or computer vision may also be helpful.
Responsibilities include designing and implementing computer vision algorithms, developing and training machine learning models, analyzing visual data, collaborating with other engineers and data scientists, and optimizing algorithms for performance. You will also need to ensure solutions are scalable and align with project goals.
Benefits include flexible work hours, the ability to work from any location, reduced commuting time, and an improved work-life balance. Remote work allows for diverse collaboration opportunities and the chance to work with cutting-edge technology in a global market.
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