Computer Vision Engineer

ic resources
Surrey, England
28 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

ML Runtime Engineer (Mid-Level and Senior)

Fractile London, United Kingdom
Hybrid
Spotlight

Senior Machine Learning Scientist

Chattermill London, United Kingdom
Remote

Computer Vision Engineer

ETS Technical Nottingham, Nottinghamshire, United Kingdom
£45,000 – £60,000 pa On-site

Lead Computer Vision Engineer

Faculty AI London, United Kingdom
Remote Clearance Required

Machine Learning Engineer (Computer Vision)

Platform Recruitment Cambridge, Cambridgeshire, United Kingdom
£85,000 – £160,000 pa On-site

Machine Learning Engineer (Computer Vision)

Platform Recruitment London, United Kingdom
£80,000 – £160,000 pa On-site

Machine Learning Engineer (Computer Vision)

Platform Recruitment Oxford, Oxfordshire, United Kingdom
£85,000 – £160,000 pa

Computer Vision and Artificial Intelligence Engineer

MBDA Filton, Gloucestershire, United Kingdom
£62,000 pa Hybrid Clearance Required
Posted
27 Mar 2024 (28 months ago)

Computer Vision Engineer - Inside IR35 - 6 month Initial Term

Seeking a talented and motivated Computer Vision Engineer to join a research team. The ideal candidate will have a passion for exploring cutting-edge techniques in computer vision, with strong skills in Python (C++ proficiency is a plus) and experience with machine learning frameworks such as TensorFlow or PyTorch. This role will involve conducting research and developing advanced computer vision algorithms and models, with a focus on object detection, depth detection, and other techniques applicable to live camera environments.

Requirements:

Master’s or degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision or machine learning (beneficial) Strong programming skills in Python; proficiency in C++ is a plus Experience with machine learning frameworks such as TensorFlow or PyTorch Solid understanding of computer vision principles and techniques, including object detection, depth estimation, image segmentation, etc Hands-on experience with developing computer vision algorithms and models Familiarity with image processing techniques and libraries Strong analytical and problem-solving skills Excellent communication and collaboration skills

Nice to haves:
Published research in computer vision or related fields. Experience with deploying computer vision solutions in real-world applications. Knowledge of optimization techniques for real-time performance. Familiarity with hardware acceleration techniques for computer vision tasks (, GPU, FPGA). Experience with cloud-based computing and services. Please contact Jonathan for more information.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.