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Date Added: YESTERDAY

Computer Vision & ML Engineer

Staines-upon-Thames, UK
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Company: MICROTECH GLOBAL LTD

Job Type: Permanent, FullTime

Salary: Salary negotiable

  • An innovative and forward-thinking AI research team is seeking a Computer Vision and Machine Learning Engineer to help shape the future of mobile and PC-based technologies.
  • This is an exciting opportunity to work on cutting-edge projects focused on next-generation devices, tackling real-world challenges in AI, live camera processing, and content creation.

Role and Responsibilities

  • As a Machine Learning Engineer,
  • you will:Explore and experiment with emerging technologies to enhance AI-driven content reconstruction, creation, and editing.
  • Review state-of-the-art research in computer vision and develop innovative prototype solutions.
  • Design and implement advanced software and algorithms in computer vision, image processing, and deep learning.
  • Take technical ownership of key sections within major projects.
  • Translate complex functional and technical requirements into detailed, efficient designs.

Required Skills

  • Master's degree or higher in Machine Learning, Artificial Intelligence, Computer Science, Engineering, or a related field.
  • Strong professional experience in modern C++ software development.
  • Experience with GPU computing using CUDA or OpenCL.
  • Excellent communication and teamwork abilities, with a results-driven mindset.
  • Strong problem-solving and debugging skills.
  • Expertise in image-based 3D reconstruction methods, including photogrammetry, Neural Radiance Fields (NeRF), or Gaussian Splatting techniques.
  • Desirable SkillsHands-on experience in:Generative AI, including implementation of state-of-the-art models.3D vision technologies.
  • Development using TensorFlow or PyTorch frameworks.Knowledge of model optimization and knowledge distillation techniques.
  • Strong foundation in machine learning, natural language processing (NLP), and computer vision.
  • Publications in top-tier ML/AI venues (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI, or similar).
  • Experience in Android application development.
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