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Computer Vision Engineer

Confirmed live in the last 24 hours



11-50 employees

Tech recruitment and talent search services


Senior, Expert

London, UK

Computer Vision
AI & Machine Learning
Required Skills
Data Structures & Algorithms
Computer Vision
  • Bachelor's, Master's, or Ph.D. in Computer Science, Computer Vision, Machine Learning, or a related field.
  • Strong proficiency in computer vision fundamentals, including image processing, feature extraction, and object detection.
  • Proficiency in programming languages such as Python and C++.
  • Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
  • Familiarity with GPU programming and parallel computing.
  • Strong problem-solving skills and the ability to work on challenging and complex tasks.
  • Excellent communication and teamwork skills.
  • Previous experience with computer vision projects or research is a plus.
  • Algorithm Development: Research, design, and develop computer vision algorithms to solve real-world problems, such as object detection, image segmentation, and feature extraction.
  • Data Preprocessing: Prepare and preprocess large datasets for training and testing machine learning models. Implement data augmentation techniques to enhance model performance.
  • Machine Learning: Develop and train machine learning models for image recognition, classification, and regression tasks. Fine-tune models to achieve high accuracy and robustness.
  • Object Tracking: Implement and optimize object tracking algorithms to monitor and analyze object movements in videos and image sequences.
  • Deep Learning: Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) to build and deploy computer vision models. Stay updated with the latest advancements in deep learning techniques.
  • Performance Optimization: Optimize computer vision algorithms for real-time processing and efficient resource utilization.
  • Collaboration: Collaborate with cross-functional teams, including software engineers and domain experts, to integrate computer vision solutions into products and systems.
  • Documentation: Maintain thorough documentation of research, code, and experiments. Communicate findings and results effectively to both technical and non-technical stakeholders.
  • Quality Assurance: Conduct rigorous testing and validation of computer vision models to ensure accuracy, reliability, and robustness in various real-world scenarios.

Techruiter excels in blending advanced technology with recruitment expertise to connect organizations with the finest tech professionals. This company distinguishes itself by focusing on quality delivery and customer satisfaction, offering robust recruitment solutions with a tech-driven approach. This environment fosters a culture of excellence and innovation, making it an attractive destination for forward-thinking professionals seeking to shape the future of tech recruitment.

Company Stage


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null, United Kingdom



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6 month growth


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