Founding Machine Learning Engineer

JR United Kingdom; Maidstone; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A well-funded AI startup in the UK seeks a Machine Learning Engineer to join as the founding member of the team. You will work on innovative projects involving generative voice and speech models, leveraging your expertise to shape core products. Ideal candidate should possess a strong background in ML frameworks, generative models, and a passion for building impactful technology.

Qualifications

• 4+ years of applied research or industry experience required.
• Deep expertise in voice conversion and generative models needed.
• Experience managing GPU-intensive data processing preferred.

Responsibilities

• Design and implement infrastructure for large audio datasets.
• Contribute to ML research and development of speech models.
• Build scalable training pipelines in PyTorch.

Skills

Voice conversion

Generative models

Deep learning

Statistical modeling

Creative problem-solving

Education

PhD in a relevant field

Tools

PyTorch

TensorFlow

Keras

Python

C/C++

PySpark

Kubernetes

Databricks

Apache Arrow

Job description

Social network you want to login/join with:

Founding Machine Learning Engineer, maidstone

col-narrow-left

Client:

Opus Recruitment Solutions

Location:

maidstone, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

1

Posted:

04.06.2025

Expiry Date:

19.07.2025

col-wide

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.