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# Lead Machine Learning Engineer

- **Company:** Intellectual Capital Resources Limited
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Audio Signal Processing, Python (Programming Language), Machine Learning, Signal Processing, Speech Recognition, Pytorch, Deep Learning, Information Technology
- **Published:** August 19, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2933608606-2

## About the Role

MSc or PhD in Artificial Intelligence, Machine Learning, Computer Science/Engineering, Mathematics, or a related field
3+ years of experience leading machine learning research or engineering teams
Strong Python skills and deep expertise with at least one modern ML framework such as PyTorch
Proven experience applying and optimising AI/ML algorithms in a production-oriented environment
Preferred:
Knowledge of real-time audio signal processing or real-time ML.
Experience in audio super-resolution, speech enhancement and/or speech-to-text.
Strong communication skills, with the ability to convey complex research outcomes to diverse audiences.
Background or interest in music or signal processing

## Description

We're partnered with a cutting-edge audio AI company developing next-generation technology to improve the quality, clarity and intelligence of digital sound. Their products apply advanced machine learning and signal processing to deliver high-fidelity voice isolation, audio enhancement and new listening experiences across consumer, enterprise and professional markets.
They are now looking for a Machine Learning Research Lead to guide strategy, research direction and hands-on development across multiple audio ML domains. You will lead a small, high-performing team of researchers and engineers, shaping the roadmap for new audio technologies used by thousands of people worldwide.
Responsibilities:
Refine and execute the research strategy and long-term roadmap for audio machine learning
Identify emerging opportunities in deep learning for audio and evaluate their applicability to future product
Lead multiple concurrent research streams, including audio super-resolution, speech enhancement and speech-to-text
Work closely with product and engineering teams to transition research models into scalable, production-ready systems
Present research outcomes to stakeholders across engineering, product, commercial and leadership teams
Foster a collaborative, open and product-focused research environment


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