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    <title>Audio Machine Learning Engineer - Enterprise Recruitment Ltd RSS Feed</title>
    <link>https://jobs.co.uk/job/audio-machine-learning-engineer-enterprise-recruitment-ltd--2739a7b1-d03c-4ef2-83c5-805e042ca00d</link>
    <description>RSS feed for Audio Machine Learning Engineer at Enterprise Recruitment Ltd.</description>
    <language>en-gb</language>
    <lastBuildDate>Sun, 26 Apr 2026 09:07:05 GMT</lastBuildDate>
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      <title>Audio Machine Learning Engineer - Enterprise Recruitment Ltd</title>
      <link>https://jobs.co.uk/job/audio-machine-learning-engineer-enterprise-recruitment-ltd--2739a7b1-d03c-4ef2-83c5-805e042ca00d</link>
      <guid>https://jobs.co.uk/job/audio-machine-learning-engineer-enterprise-recruitment-ltd--2739a7b1-d03c-4ef2-83c5-805e042ca00d</guid>
      <pubDate>Sun, 19 Apr 2026 23:00:00 GMT</pubDate>
      <description>Location: Covent Garden | Salary: &amp;pound;50000 - &amp;pound;90000/annum | Type: Permanent | 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 featur...</description>
      <category>Permanent</category>
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