Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
CV Screen
to £40,000 , plus a robust benefits package, this is your chance to make a meaningful impact in a dynamic, international environment. Duties & Responsibilities: Install, upgrade, and test speechrecognition and dictation software Apply patches and hotfixes in a controlled, documented way Travel across the UK and Ireland to support software deployments Provide post-implementation … and TCP/IP knowledge Skilled in SQL Server 2016+ Proficient with SCCM Knowledge of NHS/healthcare software is desirable Experience with enterprise software support Familiar with speechrecognition and dictation tools is desirable Full UK driving licence Willing to travel weekly Own car required Salary & Benefits: Salary : £35,000 to £40,000 per More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Manchester Metropolitan University
Digital Arts (SODA) you will join state-of-the-art research on the AHRC funded Emote VR Voicer project, to develop new intelligently responsive VR apps that incorporate speechrecognition and meaning classification. You will help create a system that can detect live emotional content in the spoken (or sung) word, mapping this to visual … a speaker's emotions, leading to a new affective channel that can be explored in art. The controls available in standard Virtual Reality (VR) can be supplemented with speechrecognition, natural language processing, and sentiment analysis. We aim to embody this potential in the front end of a new audiovisual interface, which would translate detected … research papers Experience with image and/or audio based projects Experience with real-time system optimisation (e.g. low-latency audio/visual feedback in VR) Experience with speechrecognition (e.g. whisper), sentiment analysis, or emotion classification Experience with data backup systems Experience with working in interdisciplinary teams Excellent communication and interpersonal skills. Creative problem More ❯
London, England, United Kingdom Hybrid / WFH Options
PolyAI
they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. As a senior Machine Learning Engineer specialising in speechrecognition, you will play a key role in shaping and implementing strategies for (synthetic or not) data generation, collection, and annotation, as well as evaluating and … experimenting with various models and novel architectures. Your primary focus will be on Automatic SpeechRecognition (ASR), Text to Speech (TTS), and AudioLLMs (LLMs that take audio as input). Responsibilities: Train models and conduct experiments to assess model performance in live deployments Generate, collect, and annotate contact center data from sources such … complex technical concepts to diverse audiences A passion for solving technical challenges and driving practical solutions Preferred Qualifications: Experience working with LLMs and data preparation pipelines. Experience with speech models, such as ASR or TTS. (UK) Benefits Participation in the company's employee share options plan 25 days holiday, plus bank holidays Flexible working from home policy Work More ❯
they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. As a senior Machine Learning Engineer specialising in speechrecognition, you will play a key role in shaping and implementing strategies for (synthetic or not) data generation, collection, and annotation, as well as evaluating and … experimenting with various models and novel architectures. Your primary focus will be on Automatic SpeechRecognition (ASR), Text to Speech (TTS), and AudioLLMs (LLMs that take audio as input). Responsibilities: Train models and conduct experiments to assess model performance in live deployments Generate, collect, and annotate contact center data from sources such … complex technical concepts to diverse audiences A passion for solving technical challenges and driving practical solutions Preferred Qualifications: Experience working with LLMs and data preparation pipelines. Experience with speech models, such as ASR or TTS. (UK) Benefits Participation in the company's employee share options plan 25 days holiday, plus bank holidays Flexible working from home policy Work More ❯
Leeds, Yorkshire, United Kingdom Hybrid / WFH Options
PSR Limited
to: zoom in up to 300% without the text spilling off the screen navigate most of the website using just a keyboard navigate most of the website using speechrecognition software listen to most of the website using a screen reader (including the most recent versions of JAWS, NVDA and VoiceOver) We've also ensured More ❯
Leeds, England, United Kingdom Hybrid / WFH Options
PSR Limited
to: zoom in up to 300% without the text spilling off the screen navigate most of the website using just a keyboard navigate most of the website using speechrecognition software listen to most of the website using a screen reader (including the most recent versions of JAWS, NVDA and VoiceOver) We’ve also ensured More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Client Server
a large-scale video platform on the Amazon Web Services Cloud. The core product allows business users to capture data via integrated mobile services utilising video analytics and speechrecognition to analyse and categorise information within the workflows of large field workforces (field engineers, field service, auditing, reporting, health-and-safety, sales, etc.); customers are More ❯
Machine Learning Engineer - Speech & Audio AI Location: San Francisco, CA (Hybrid) Employment Type: Full-time Experience Level: Mid to Senior Are you passionate about shaping the future of voice and sound technology? Join a cutting-edge AI startup in San Francisco that's building the next generation of speech and audio intelligence products. We're looking … complex problems and working across multiple areas of AI and data-driven technology in a dynamic environment. What You'll Do Design, train, and optimize ML models for speechrecognition, audio classification, speaker diarization, or text-to-speech (TTS). Collaborate with product and research teams to bring state-of-the-art models … . Monitor and improve inference performance in real-time audio systems. What We're Looking For 2-6 years of experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders More ❯
San Francisco, California, United States Hybrid / WFH Options
Koda Staff
Machine Learning Engineer - Speech & Audio AI Location: San Francisco, CA (Hybrid) Employment Type: Full-time Experience Level: Mid to Senior Are you passionate about shaping the future of voice and sound technology? Join a cutting-edge AI startup in San Francisco that's building the next generation of speech and audio intelligence products. We're looking … complex problems and working across multiple areas of AI and data-driven technology in a dynamic environment. What You'll Do Design, train, and optimize ML models for speechrecognition, audio classification, speaker diarization, or text-to-speech (TTS). Collaborate with product and research teams to bring state-of-the-art models … . Monitor and improve inference performance in real-time audio systems. What We're Looking For 2-6 years of experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders More ❯
San Jose, California, United States Hybrid / WFH Options
Koda Staff
Machine Learning Engineer - Speech & Audio AI Location: San Francisco, CA (Hybrid) Employment Type: Full-time Experience Level: Mid to Senior Are you passionate about shaping the future of voice and sound technology? Join a cutting-edge AI startup in San Francisco that's building the next generation of speech and audio intelligence products. We're looking … complex problems and working across multiple areas of AI and data-driven technology in a dynamic environment. What You'll Do Design, train, and optimize ML models for speechrecognition, audio classification, speaker diarization, or text-to-speech (TTS). Collaborate with product and research teams to bring state-of-the-art models … . Monitor and improve inference performance in real-time audio systems. What We're Looking For 2-6 years of experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders More ❯
Sonoma, California, United States Hybrid / WFH Options
Koda Staff
Machine Learning Engineer - Speech & Audio AI Location: San Francisco, CA (Hybrid) Employment Type: Full-time Experience Level: Mid to Senior Are you passionate about shaping the future of voice and sound technology? Join a cutting-edge AI startup in San Francisco that's building the next generation of speech and audio intelligence products. We're looking … complex problems and working across multiple areas of AI and data-driven technology in a dynamic environment. What You'll Do Design, train, and optimize ML models for speechrecognition, audio classification, speaker diarization, or text-to-speech (TTS). Collaborate with product and research teams to bring state-of-the-art models … . Monitor and improve inference performance in real-time audio systems. What We're Looking For 2-6 years of experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders More ❯
San Mateo, California, United States Hybrid / WFH Options
Koda Staff
Machine Learning Engineer - Speech & Audio AI Location: San Francisco, CA (Hybrid) Employment Type: Full-time Experience Level: Mid to Senior Are you passionate about shaping the future of voice and sound technology? Join a cutting-edge AI startup in San Francisco that's building the next generation of speech and audio intelligence products. We're looking … complex problems and working across multiple areas of AI and data-driven technology in a dynamic environment. What You'll Do Design, train, and optimize ML models for speechrecognition, audio classification, speaker diarization, or text-to-speech (TTS). Collaborate with product and research teams to bring state-of-the-art models … . Monitor and improve inference performance in real-time audio systems. What We're Looking For 2-6 years of experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders More ❯
Hayward, California, United States Hybrid / WFH Options
Koda Staff
Machine Learning Engineer - Speech & Audio AI Location: San Francisco, CA (Hybrid) Employment Type: Full-time Experience Level: Mid to Senior Are you passionate about shaping the future of voice and sound technology? Join a cutting-edge AI startup in San Francisco that's building the next generation of speech and audio intelligence products. We're looking … complex problems and working across multiple areas of AI and data-driven technology in a dynamic environment. What You'll Do Design, train, and optimize ML models for speechrecognition, audio classification, speaker diarization, or text-to-speech (TTS). Collaborate with product and research teams to bring state-of-the-art models … . Monitor and improve inference performance in real-time audio systems. What We're Looking For 2-6 years of experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders More ❯
Sunnyvale, California, United States Hybrid / WFH Options
Koda Staff
Machine Learning Engineer - Speech & Audio AI Location: San Francisco, CA (Hybrid) Employment Type: Full-time Experience Level: Mid to Senior Are you passionate about shaping the future of voice and sound technology? Join a cutting-edge AI startup in San Francisco that's building the next generation of speech and audio intelligence products. We're looking … complex problems and working across multiple areas of AI and data-driven technology in a dynamic environment. What You'll Do Design, train, and optimize ML models for speechrecognition, audio classification, speaker diarization, or text-to-speech (TTS). Collaborate with product and research teams to bring state-of-the-art models … . Monitor and improve inference performance in real-time audio systems. What We're Looking For 2-6 years of experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders More ❯
Alameda, California, United States Hybrid / WFH Options
Koda Staff
Machine Learning Engineer - Speech & Audio AI Location: San Francisco, CA (Hybrid) Employment Type: Full-time Experience Level: Mid to Senior Are you passionate about shaping the future of voice and sound technology? Join a cutting-edge AI startup in San Francisco that's building the next generation of speech and audio intelligence products. We're looking … complex problems and working across multiple areas of AI and data-driven technology in a dynamic environment. What You'll Do Design, train, and optimize ML models for speechrecognition, audio classification, speaker diarization, or text-to-speech (TTS). Collaborate with product and research teams to bring state-of-the-art models … . Monitor and improve inference performance in real-time audio systems. What We're Looking For 2-6 years of experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders More ❯
Fremont, California, United States Hybrid / WFH Options
Koda Staff
Machine Learning Engineer - Speech & Audio AI Location: San Francisco, CA (Hybrid) Employment Type: Full-time Experience Level: Mid to Senior Are you passionate about shaping the future of voice and sound technology? Join a cutting-edge AI startup in San Francisco that's building the next generation of speech and audio intelligence products. We're looking … complex problems and working across multiple areas of AI and data-driven technology in a dynamic environment. What You'll Do Design, train, and optimize ML models for speechrecognition, audio classification, speaker diarization, or text-to-speech (TTS). Collaborate with product and research teams to bring state-of-the-art models … . Monitor and improve inference performance in real-time audio systems. What We're Looking For 2-6 years of experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders More ❯
Santa Rosa, California, United States Hybrid / WFH Options
Koda Staff
Machine Learning Engineer - Speech & Audio AI Location: San Francisco, CA (Hybrid) Employment Type: Full-time Experience Level: Mid to Senior Are you passionate about shaping the future of voice and sound technology? Join a cutting-edge AI startup in San Francisco that's building the next generation of speech and audio intelligence products. We're looking … complex problems and working across multiple areas of AI and data-driven technology in a dynamic environment. What You'll Do Design, train, and optimize ML models for speechrecognition, audio classification, speaker diarization, or text-to-speech (TTS). Collaborate with product and research teams to bring state-of-the-art models … . Monitor and improve inference performance in real-time audio systems. What We're Looking For 2-6 years of experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders More ❯
Santa Clara, California, United States Hybrid / WFH Options
Koda Staff
Machine Learning Engineer - Speech & Audio AI Location: San Francisco, CA (Hybrid) Employment Type: Full-time Experience Level: Mid to Senior Are you passionate about shaping the future of voice and sound technology? Join a cutting-edge AI startup in San Francisco that's building the next generation of speech and audio intelligence products. We're looking … complex problems and working across multiple areas of AI and data-driven technology in a dynamic environment. What You'll Do Design, train, and optimize ML models for speechrecognition, audio classification, speaker diarization, or text-to-speech (TTS). Collaborate with product and research teams to bring state-of-the-art models … . Monitor and improve inference performance in real-time audio systems. What We're Looking For 2-6 years of experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders More ❯
We are hiring a Principal Machine Learning Engineer to work on cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI, with STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a passion … for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speechrecognition system globally. It also … would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Speechmatics Limited
We are hiring a Principal Machine Learning Engineer to work on cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI, with STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a passion … for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speechrecognition system globally. It also … would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology More ❯
London, England, United Kingdom Hybrid / WFH Options
Speechmatics
We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI, consisting of STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a … passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speechrecognition system globally. It … would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology More ❯
London, England, United Kingdom Hybrid / WFH Options
Speechmatics
We are hiring a Principal Machine Learning Engineer to work on cutting-edge Research & Development. As pioneers in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be at the bleeding edge of Voice AI, with STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and … a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional Voice AI. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speechrecognition system globally. It also … would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Speechmatics
We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As pioneers in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be at the bleeding edge of Voice AI, consisting of STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity … and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional Voice AI. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speechrecognition system globally. It … would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology More ❯
London, England, United Kingdom Hybrid / WFH Options
Speechmatics Limited
We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice—a vision that has propelled us to be world leaders of Voice AI, consisting of STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a … passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speechrecognition system globally. It … would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Speechmatics Limited
We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI, consisting of STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a … passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speechrecognition system globally. It … would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology More ❯