Computer Vision and Machine Learning Engineer - / C++ / Python / Tensorflow / PyTorch / Image based 3D reconstruction

Computer Vision and Machine Learning Engineer - / C++ / Python / Tensorflow / PyTorch / Image based 3D reconstruction

• Do you have a solid experience in Machine Learning and Computer Vision with programming experience in C++ and Python?
• Experience developing with machine learning frameworks such as Tensorflow and/or Pytorch
• Do you want to join a globally recognised mobile/tech development company?

We are seeking aComputer Vision and Machine Learning Engineerwith experience in image-based 3D reconstruction (Photogrammetry, Neural Radiance Fields (NERF) or Gaussian Splatting techniques) to join our client in the northwest Surrey/West London (1 hour from King's Cross) on a initial 6 month contract (PAYE) basis.

Please note- as this is a contract position, we can only consider applicants with full Right to Work in the UK and with a maximum of a 1 month notice period.

Required skills:

• Masters or higher degree in Computer Science/Engineering, or related disciplines
• Professional software development experience with C++ and Python
• Experience developing with machine learning frameworks – Tensorflow/Pytorch
• Expertise in image-based 3D reconstruction: Photogrammetry, Neural Radiance Fields (NERF) or Gaussian Splatting techniques.
• Programming proficiency one or more of programming language and APIs like C++/Java/Python
• Excellent communication, teamwork and a results-oriented attitude
• Proficiency in problem-solving and debugging

Any of the following would be considered a plus:

• Experience in Generative AI, including hands-on implementation of state-of-the-art models.
• Computational photography, image inpainting and 3-D vision
• Model optimization and knowledge distillation.
• Experience in computer graphics and rendering: design and development of software such as OpenGL, OpenGL ES, Vulkan or DirectX
• Experience in Android application development

If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your resume on

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