> Markdown version of [/jobs/ext/3907295-machine-learning-researcher](https://www.wearedevelopers.com/jobs/ext/3907295-machine-learning-researcher). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Researcher - **Company:** Brahma - **Location:** UK (Remote available) - **Salary:** £55,254.0 - **Contract:** Permanent contract - **Skills:** Computer Animation, Computer Vision, Python (Programming Language), Machine Learning, Open Source Technology, Neural Rendering, Multimodal Learning, Pytorch, Real-time Inference, Build Tools - **Published:** October 25, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5941248877 ## About the Role * Strong background in machine learning and deep learning, especially in generative models for video, vision, or speech. * Hands-on experience with video synthesis tasks such as face reenactment, lip sync, audio-to-video generation, or avatar animation. * Proficient in Python and PyTorch; familiar with libraries like MMPose, MediaPipe, DLIB, or image/video generation frameworks. * Experience training large models and working with high-resolution audio/video datasets. * Deep understanding of architectures such as transformers, diffusion models, GANs and motion representation techniques. * Proven ability to work independently and drive research from idea to implementation. * Strong problem-solving skills, ability to work autonomously in a remote-first environment. Nice to Have * PhD in Computer Vision, Machine Learning, or a related field, with publications in top-tier conferences (CVPR, ICCV, ICLR, NeurIPS, etc.). * Familiarity with or contributions to open-source projects in lip sync, video generation, or 3D face modelling. * Experience with real-time inference, model optimisation, or deployment for production applications. * Knowledge of adjacent areas like emotion modelling, multimodal learning, or audio-driven animation. * Experience working with or adapting models like WAN, Hunyuan or similar. ## Description Job Description: We are seeking a Machine Learning Researcher to join our team and help advance the state of the art in human-centric generative video models. Your work will focus on improving expression control, lip synchronisation, and overall realism in models such as WAN and Hunyuan. You'll collaborate with a world-class team of researchers and engineers to build systems that can generate lifelike talking-head videos from text, audio, or motion signals-pushing the boundaries of neural rendering and avatar animation. We are hiring remotely across the EMEA region. Key Responsibilities * Research and develop cutting-edge generative video models, with a focus on controllable facial expression, head motion, and audio-driven lip synchronisation. * Fine-tune and extend video diffusion models such as WAN and Hunyuan for better visual realism and audio-visual alignment. * Design robust training pipelines and large-scale video/audio datasets tailored for talking-head synthesis. * Explore techniques for controllable expression editing, multi-view consistency, and high-fidelity lip sync from speech or text prompts. * Work closely with product and creative teams to ensure models meet quality and production constraints. * Stay current with the latest research in video generation, speech-driven animation, and 3D-aware neural rendering.