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Randstad Digital UK

Research Intern

United Kingdom
Posted about 17 hours ago
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Job Title: Speech ML Research Contractor

Location: Remote (UK)

Type: 3–6 Month Contract (Full-Time or Part-Time: 20 hrs/wk for PhD students)

Role Overview

Join an advanced speech research team conducting exploratory, hypothesis-driven research in text-to-speech (TTS), automatic speech recognition (ASR), and generative audio models.

Open to current PhD candidates (flexible ~20 hrs/week) or recent PhD/MSc graduates (full-time).

What You'll Do

  • Research and build models for TTS, ASR, voice conversion, and audio generation.
  • Experiment with modern generative architectures: Transformers, Diffusion, Flow Matching, GANs, VAEs, and Neural Audio Codecs.
  • Clean, analyze, and evaluate real-world audio datasets at scale.
  • Collaborate with research scientists with opportunities to publish at top-tier ML venues.

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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Strong

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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Strong

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Requirements

Education: Currently enrolled in or recent graduate (within 1 yr) of a PhD or MSc in ML, Signal Processing, or CS.

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Core Stack: Hands-on experience with PyTorch and handling complex data pipelines.

ML Depth: Strong theoretical grasp of generative modeling (Diffusion, Flow Matching, Codecs).

Skills: Independent, curious, and comfortable with open-ended research problems.

Interview Process

  • Technical Interview (60 min): ML depth and research breadth discussion (no live coding).
  • Values Interview (30 min): Collaboration, communication, and team alignment.
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Skills

PyTorch
Text-to-Speech
Automatic Speech Recognition
Generative Audio Models
Transformers
Diffusion Models
Flow Matching
GANs
VAEs
Neural Audio Codecs
Signal Processing
Data Pipeline Management

Location

United Kingdom

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