> Markdown version of [/jobs/ext/3905404-machine-learning-researcher-speech-audio](https://www.wearedevelopers.com/jobs/ext/3905404-machine-learning-researcher-speech-audio). 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 (Speech/Audio) - **Company:** Brahma - **Location:** UK (Remote available) - **Salary:** £44,654.0 - **Contract:** Permanent contract - **Skills:** Computer Animation, Python (Programming Language), Machine Learning, Open Source Technology, Pytorch, Information Technology, HuggingFace, Speech Synthesis, GPT - **Published:** October 25, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5941235750 ## About the Role * Strong background in machine learning and deep learning, with focus on speech/audio. * Hands-on experience with TTS, voice cloning, or related voice synthesis tasks. * Proficiency with Python and PyTorch; experience with libraries like torchaudio, ESPnet, or similar. * Experience training models at scale and working with large audio datasets. * Familiarity with vocoders and transformer-based architectures. * Strong problem-solving skills, ability to work autonomously in a remote-first environment. Nice to Have * PhD degree in Computer Science/ Machine Learning and publications in top venues. * Contributions to open-source speech research or participation in relevant benchmarks. * Familiarity with adjacent areas like lip-syncing, audio-driven animation, or expressive speech control. * Experience with voice datasets or proprietary pipelines. ## Description * Research and develop state-of-the-art voice synthesis models (e.g., TTS, voice cloning, speech-to-speech). * Build and fine-tune models using frameworks like PyTorch and HuggingFace. * Design training pipelines and datasets for scalable voice model training. * Explore techniques for emotional expressiveness, multilingual synthesis, and speaker adaptation. * Work closely with product and creative teams to ensure models meet quality and production constraints. * Stay on top of academic and industrial trends in speech synthesis and related fields.