Founding Machine Learning Engineer

JR United Kingdom; Chesterfield; On-site; GBP 60,000 - 90,000; Full time

Job summary

A dynamic AI startup in Chesterfield seeks a founding Machine Learning Engineer to join their team. As the first ML hire, you will shape core product features involving generative voice models and advanced audio processing. Ideal candidates are builders with a strong academic background and industry experience, eager to innovate in a fast-paced environment.

Qualifications

• 4+ years of applied research or industry experience required.
• Strong hands-on experience with ML frameworks and scalable data tools.
• Proven ability to manage GPU-intensive data processing jobs.

Responsibilities

• Design and implement high-performance infrastructure for audio data.
• Build scalable ML training pipelines and prototypes for voice models.
• Manage large-scale cloud data storage with cost-performance tradeoffs.

Skills

Deep learning

Statistical modeling

Machine Learning frameworks

Python

C/C++

Creative problem-solving

Education

PhD in relevant field

Tools

PyTorch

TensorFlow

Keras

PySpark

Kubernetes

Databricks

Apache Arrow

Job description

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Founding Machine Learning Engineer, chesterfield

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Client:

Opus Recruitment Solutions

Location:

chesterfield, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

1

Posted:

04.06.2025

Expiry Date:

19.07.2025

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Job Description:

? Machine Learning Engineer – Founding Team | Stealth AI Startup (Audio + Generative Models)

Location: London (Hybrid) | Full-time | Competitive Salary + Equity

A well-funded, early-stage startup backed by top-tier investors is seeking an ambitious Machine Learning Engineer to join as their first full-time ML hire.

As a core member of the founding team, you’ll generative voice and speech-to-speech models and your work will directly shape the company’s core products and have a real impact on users.

The ideal candidate is a builder at heart—someone who’s either been a founder or has shipped impressive side projects—and is excited to work in a fast-paced, high-performance environment.

? What You’ll Do

• Design and implement cost-efficient, high-performance infrastructure for storing and transforming massive audio datasets.
• Apply ML audio and DSP techniques to clean, segment, and filter speech data.
• Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs.
• Build scalable ML training pipelines in PyTorch using large datasets.
• Contribute to research and development of generative voice and speech-to-speech models.
• Prototype and implement novel ML/statistical approaches to enhance product capabilities.
• Develop robust testing pipelines to evaluate model performance on audio data.

What We’re Looking For

• PhD in a relevant field (e.g., Deep Generative Models, TTS, ASR, NLU), or equivalent industry experience.
• Deep expertise in voice conversion, generative models, deep learning, or statistical modeling.
• Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras).
• Proficiency in Python and C/C++.
• Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow).
• Proven ability to manage GPU-intensive data processing jobs.
• 4+ years of applied research or industry experience.
• Creative problem-solver with a bias for action and a passion for building world-class products.

? Bonus Points

• Extensive experience in applied research, especially in voice conversion, speech synthesis, or NLP.
• PhD specialization in voice or speech-related ML fields.
• A track record of thought leadership through publications, open-source contributions, or patents.