I am seeking an experienced Machine Learning Engineer to join my start-up client revolutionising the spoken audio verification space. Our clients’ patented tech is not only able to recognise but verify certain aspects of spoken audio and are currently exploring how to improve it in all aspects. Suitable Machine Learning Engineers will come with proven industry experience in developing machine learning models for voice biometrics, speech modelling, speaker verification or identification.
Please note that this is an initial 3 month fixed-term contract, with opportunity to extend or go full-time and will not be offered on an hours worked hours paid basis. It is being offered on a hybrid or fully remote basis from within the UK.
Primary responsibilities
• Design, implement and optimise machine learning pipelines for speaker verification
• Optimise, implement, and port models on TensorFlow Lite for different Edge AI chipset
Essential experience
• MSc or PhD in Computer Science, Speech Science, Machine Learning with a relevant focus
• Industry experience developing ML models for voice biometrics, speech modelling, speaker verification or identification
• Familiar with deep learning architectures, optimized for audio verification in edge AI environments
• Python, PyTorch, TensorFlow, TensorFlow Lite, ONNX
What’s on offer?
• 3 month fixed term contract (FTC) with opportunity to extend or go full time at the end of the duration
• £70k-100k annual, offered pro-rata
Interested? This is a great opportunity for a Machine Learning Engineer with Audio Verification / Speaker Verification / Speech Verification experience. Please apply now for immediate consideration and speak with Chris Wyatt at IC Resources who is recruiting for this position in the UK
