4 of 4 PyTorch Jobs in Manchester

lifecycle. Expertise taking projects from ideation or experimental Jupyter notebooks to full production deployment. Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with MLOps practices including model drift detection, decay, A/B testing, integration testing, differential testing, Python package building, and code version control. Skilled in data More ❯

designing, training, and evaluating neural models for speech or language generation. Strong understanding of large language models (LLMs), transformers, and sequence-to-sequence learning. Advanced proficiency in Python and PyTorch, with practical experience in model training and optimisation at scale. Solid software engineering practices: Git, unit testing, and CI/CD pipelines. Proven ability to conduct independent research, troubleshoot complex More ❯

designing, training, and evaluating neural models for speech or language generation. Strong understanding of large language models (LLMs), transformers, and sequence-to-sequence learning. Advanced proficiency in Python and PyTorch, with practical experience in model training and optimisation at scale. Solid software engineering practices: Git, unit testing, and CI/CD pipelines. Proven ability to conduct independent research, troubleshoot complex More ❯

Learning/Deep Learning with hands-on experience in speech or audio processing.- Experience fine-tuning or deploying modern TTS models (e.g. VITS, Bark, or FastSpeech2).- Proficiency in PyTorch (or similar) and comfortable optimizing GPU inference.- Experience deploying ML models to production and integrating via APIs.- Familiarity with AWS, GCP, or Azure for scalable deployment. Desirable:- Understanding of speaker More ❯