4 of 4 Speech Recognition Jobs in the UK

Communication Systems Electrical and Electronic Engineering Telecommunications Engineering Communications Engineering Optical Communications Engineering Signal Processing Embedded Systems Engineering Robotics and Intelligent Systems Speech and Language Technologies Speech Recognition Language and Linguistics Morpho‐Syntax Phonetics and Phonology Semantics and Pragmatics Language Technology Humanities … Social Sciences (Relevant to Language Ecosystems) Digital Humanities Anthropology (especially Linguistic Anthropology) African Studies Language Policy and Planning Benefits and Global Recognition Country Coordinators will participate in OpenBinacle’s national innovation and growth framework, which includes performance-based incentives linked to the development and adoption of OpenBinacle ...

Communication Systems Electrical and Electronic Engineering Telecommunications Engineering Communications Engineering Optical Communications Engineering Signal Processing Embedded Systems Engineering Robotics and Intelligent Systems Speech and Language Technologies Speech Recognition Language and Linguistics Morpho-Syntax Phonetics and Phonology Semantics and Pragmatics Language Technology Humanities … Social Sciences (Relevant to Language Ecosystems) Digital Humanities Anthropology (especially Linguistic Anthropology) African Studies Language Policy and Planning Benefits and Global Recognition : Country Coordinators will participate in OpenBinacle’s national innovation and growth framework, which includes performance-based incentives linked to the development and adoption of OpenBinacle ...

research experimentation through to monitored production services. Design, train, and optimise machine learning models for audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection. Build and maintain training and inference pipelines using PyTorch, and related ML frameworks Source, curate … deploying ML models in real-world systems Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem Experience with audio or speech models and frameworks. Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar). Strong ...

calls. Not in how fast you can type. What you’ll work with: Beyond Portal itself, the wider stack includes large language models, speech recognition, AI voice agents that hold real conversations on the phone, and proprietary telecoms infrastructure. It is interesting work. They ...