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A multimedia technology company in Greater London is seeking a Computer Vision Engineer to enhance video quality and stability through innovative algorithms and solutions. This role involves optimizing Chroma Key techniques, developing noise reduction methods, and collaborating closely with engineering teams. The ideal candidate will have a strong foundation in image processing and experience with AI-driven vision techniques, along with a commitment to personal and team growth.
We are seeking an experienced Computer Vision Engineer to join our Video Solution Team and help elevate the realism, stability, and visual quality of our chroma key (green screen) and video processing technologies. This role is central to building next-generation image and video enhancements for our video product ecosystem.
Enhance and optimize Chroma Key (green screen) algorithms to achieve highly realistic compositing under varying studio lighting
Develop and improve noise reduction and video stabilization techniques for high-quality real-time video output
Build and refine image processing solutions for segmentation, edge refinement, spill suppression, and colour correction
Collaborate with video engineers and studio teams to test, benchmark, and validate algorithm performance in real-world environments
Prototype and deploy advanced computer vision models optimized for real-time or low-latency video pipelines
Strong foundation in Image Processing, with practical experience in chroma keying, matting, filtering, noise reduction, video stabilization, and segmentation.
Proficiency in computer vision algorithms related to color space transformations, background subtraction, optical flow, and temporal smoothing
Hands-on experience with OpenCV, MediaPipe, and/or deep learning frameworks such as PyTorch or TensorFlow
Good understanding of lighting consistency, shadow modeling, and color matching between live studio footage and virtual assets
Ability to optimize algorithms for real-time or low-latency video processing
Experience with AI-driven vision techniques (e.g., matting, denoising, segmentation)
Familiarity with GPU acceleration (CUDA, Vulkan, Metal) for high-performance processing
Experience a dynamic and team-orientated work environment.
Opportunities for personal growth and learning.
An open, inclusive and supportive team where you will be valued, and your suggestions will be welcome.
26 days paid holiday per year, in addition to local public holidays.
Competitive salary.
Risk Benefits such as pension, Life Assurance (4x annual salary), Private Medical Insurance.
Team Building activities.
Local discounts and more...!