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IC Resources

Lead Machine Learning Engineer

London
Posted 23 days ago
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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

Reasons to use Rodeo

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?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

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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Requirements

  • 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

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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

If you fit the requirements and are interested in this opportunity, then apply now! Otherwise, if you’re interested in any other AI/ML and Computer Vision roles, then reach out to Charles Duran at IC Resources.

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Skills

Machine Learning
Python
PyTorch
Audio Signal Processing
Deep Learning
Speech Enhancement
Speech-to-Text
Audio Super-resolution
Research Strategy
Team Leadership
Production-ready Systems
AI Optimization

Location

London, England, United Kingdom

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