Computer Vision Engineer

Job Title: 3D Computer Vision Engineer

Location: London, UK (Hybrid Working)

Type: Permanent

Key Responsibilities:

Lead development of machine learning systems for digital human avatar generation using inverse rendering and Unity-based visualization.

Design and implement mesh and texture warping algorithms (energy-based methods, Thin Plate Splines).

Develop inverse rasterization systems and facial feature extraction algorithms using PyTorch.

Contribute to NeRF-based systems with GPU-optimized kernel development, screen space sampling, and integration techniques.

Lead animation retargeting projects for facial blend shapes using optimization (Active Set solver, Libigl) and Functional Maps.

Design Unity and Unreal Engine plugins for real-time physics, rendering, and visualization.

Develop modules for 3D reconstruction, mesh processing, and camera calibration using C++ and Python.

Implement reinforcement learning systems for animation synthesis and optimization-based cloth simulation.

Build OpenGL/Compute shaders and GPU kernels for performance-critical 3D applications.

Requirements:

Degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience in 3D graphics or ML systems.

Strong in C++/Python, 3D graphics pipelines, inverse rendering, and geometry processing.

Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal).

Solid grasp of optimization, linear algebra, computer vision, and numerical methods.

Skilled in multithreading, memory management, and profiling for high-performance applications.

If this sounds of interest, please apply here or reach out to