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 processingExperience training and evaluating models using modern ML toolingAwareness of real-world acoustic challenges such as noise, reverberation, and variabilityComfort working in a small, fast-moving engineering teamLikely a PhD or MSc + some industry experience Beneficial Edge or embedded ML optimisationAudio feature extraction or DSP knowledgePostgraduate study in a relevant technical disciplineExperience with sensing, monitoring, or real-world data ..... full job details .....