Machine Learning Engineer

A Machine Learning Engineer in Manchester is responsible for deploying and optimising Text-to-Speech models within large-scale AI systems, focusing on performance and scalability. They collaborate with teams to implement complex pipelines in production and manage inference servers for efficient deployment. Candidates need experience with LLM and transformer models, GPU scaling, and machine learning pipelines, alongside proficiency in PyTorch and Hugging Face transformers. Knowledge of neural audio codecs and advanced techniques such as GANs and diffusion models is essential. The role requires a background in TTS development and deploying machine learning solutions in production environments. This position offers the opportunity to work on innovative speech synthesis technology in a leading AI setting.