Machine Learning Engineer

A Machine Learning Engineer in Manchester develops and deploys advanced Text-to-Speech systems, focusing on scaling, optimisation, and performance in production environments. The role involves working with LLMs and transformers, utilising inference servers like Triton and TorchServe to ensure efficient deployment. Candidates are expected to have experience with neural audio codecs, GPU scaling, and complex ML pipeline deployment, using tools like PyTorch and Hugging Face transformers. They should possess strong knowledge of TTS development, including techniques such as RVQ, GANs, and diffusion models. Technical proficiency and a research background in machine learning are essential to contribute effectively to the team and project objectives.