Computer Vision Engineer

ic resources; Greater London; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading company in the AI sector is seeking a motivated Computer Vision Engineer for a contract role focused on advanced algorithms and real-time performance. The ideal candidate will have a strong background in Python, machine learning frameworks, and computer vision principles. This position offers an opportunity to work on cutting-edge technology with an experienced research team.

Qualifications

• Master’s or degree in relevant fields with a focus on computer vision or machine learning.
• Strong Python programming, C++ is a plus.
• Experience with TensorFlow or PyTorch.

Responsibilities

• Conduct research on advanced computer vision algorithms.
• Develop models focusing on object detection and depth estimation.
• Utilize image processing techniques for algorithm development.

Skills

Python

Machine Learning

Computer Vision

Problem Solving

Collaboration

Education

Master’s/degree in Computer Science or Electrical Engineering

Job description

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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.