IC Resources
Lead Machine Learning Engineer

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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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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