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The Audio Programmer

Machine Learning Researcher - Audio

London
£70k – £80k/yr
Posted 26 days ago
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Job Description

Machine Learning Researcher - Audio

Permanent, full time

Hybrid working from home and Central London

£70-80K

Join a voice technology company as a Machine Learning Researcher and help them to continue developing cutting-edge voice, speech and noise cancellation technologies.

As part of their audio technology research team, you'll be responsible for:

  • Carrying out research on deep learning audio
  • Evaluating and testing AI and ML models
  • Implementing and training models
  • Model research, implementation, training, evaluation and inference
  • Writing reports and research papers

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

With several products already on the market and thousands of users, this is a great time to join a company at the forefront of voice isolation and speech separation.

Hybrid working pattern with 2-3 days a week in their Central London R&D centre.

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Requirements

  • PhD or MSc in AI, Machine Learning, Computer Science, Maths or similar
  • Experience in speech separation or stem separation
  • Strong background in real-time audio machine learning research
  • Detailed knowledge of machine learning and deep learning concepts
  • Real-time audio signal processing / real-time machine learning
  • CNNs, RNNs, state space models
  • Python, PyTorch
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Skills

Deep Learning
AI
Machine Learning
Speech Separation
Real-Time Audio Processing
Real-Time Machine Learning
CNNs
RNNs
Python
PyTorch

Location

London, England, United Kingdom

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