Computer Vision Engineer

A leading research and development team in the UK is seeking a Computer Vision and Machine Learning Engineer to join their innovative AI division based in Egham, Surrey. This role offers a unique opportunity to contribute to the development of next-generation mobile technologies.

We are looking for individuals passionate about pushing the boundaries of AI, content creation, and real-time camera frame and image processing on both PC and mobile platforms. This role offers the chance to work in production environments and tackle real-world, industry-relevant challenges.

We are looking for candidates available for an immediate start-please apply only if you can begin within 1 month of accepting the role. Unfortunately, visa sponsorship is not available for this position.

Role and Responsibilities

As a Machine Learning Engineer, you will:

Research and experiment with emerging technologies to enhance AI-driven content reconstruction, creation, and editing processes.

Review state-of-the-art computer vision research and develop prototype solutions.

Develop advanced software and algorithms for computer vision, image processing, and deep learning models.

Take technical responsibility for significant sections of assigned projects.

Translate complex functional and technical requirements into detailed designs.

Skills and Qualifications

Required Skills:

Master's degree or higher in Computer Science, Engineering, or related fields.

Professional software development experience with C++ and Python.

Experience using machine learning frameworks such as TensorFlow or PyTorch.

Expertise in image-based 3D reconstruction techniques, including Photogrammetry, Neural Radiance Fields (NeRF), or Gaussian Splatting.

Proficiency in programming languages and APIs such as C++, Java, or Python.

Strong communication skills, teamwork abilities, and a results-driven mindset.

Excellent problem-solving and debugging skills.

Desirable Skills:

Experience with Generative AI and implementation of state-of-the-art models.

Knowledge of computational photography, image inpainting, and 3D vision.

Experience with model optimization and knowledge distillation.

Background in computer graphics and rendering, including tools like OpenGL, Vulkan, or DirectX.

Experience with Android application development.”