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Audio Machine Learning Engineer
Job summary
A technology firm in the United Kingdom is seeking an Audio Machine Learning Engineer to develop intelligent audio-driven products. The role includes contributing to the entire lifecycle of audio intelligence, collaborating with engineers, and addressing real-world acoustic challenges. Ideal candidates have a strong grounding in audio machine learning or applied signal processing and are likely to hold a PhD or MSc. This position offers involvement in shaping core technology within a dynamic engineering team.
Qualifications
- 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 and reverberation.
Responsibilities
- Contribute to the full lifecycle of audio intelligence.
- Shape how sound is analysed, classified, and translated into information.
- Work alongside embedded, hardware, and software specialists.
Skills
Education
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.
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.
- 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
- 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
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.