Audio Machine Learning Engineer
A growing technology team is developing a new generation of intelligent, audio-driven products designed to interpret real-world acoustic environments and generate meaningful insight. As development accelerates, they are seeking an Audio Machine Learning Engineer to shape how sound is analysed, classified, and translated into useful information across edge and cloud platforms.
The Opportunity Working alongside embedded, hardware, and software specialists, you will contribute to the full lifecycle of audio intelligence, from dataset strategy and model design through to optimisation and deployment.
The role offers genuine ownership and the chance to influence core technology within a product-focused engineering environment.
Required:
Core experience
Strong grounding in audio machine learning or applied signal processing
Experience training and evaluating models using modern ML tooling
Awareness of real-world acoustic challenges such as noise, reverberation, and variability
Comfort working in a small, fast-moving engineering team
Likely a PhD or MSc + some industry experience
Beneficial
Edge or embedded ML optimisation
Audio feature extraction or DSP knowledge
Postgraduate study in a relevant technical discipline
Experience with sensing, monitoring, or real-world data systems