Machine Learning Researcher - Audio

The Audio Programmer Ltd; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

The Audio Programmer Ltd is seeking a Machine Learning Researcher to join their voice technology team in Paddington, United Kingdom. The role involves researching and developing innovative noise cancellation technologies and implementing deep learning models.

Candidates should have a strong background in AI and real-time audio machine learning, with a PhD or MSc in a relevant field. The position offers a hybrid working arrangement with 2-3 days per week at the Central London R&D centre.

Qualifications

• 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.

Responsibilities

• Carry out research on deep learning audio.
• Evaluate and test AI and ML models.
• Implement and train models.

Skills

Machine Learning

Deep Learning

Real-time Audio Processing

Speech Separation

Education

PhD or MSc in AI, Machine Learning, Computer Science, Maths or similar

Job description

Paddington, United Kingdom | Posted on 06/08/2026

Hybrid working from home and Central London

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

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.

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