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Machine Learning Research Engineer

Trades Workforce Solutions

Remote

GBP 125,000 - 150,000

Full time

Today
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Job summary

A leading workforce solutions firm in the United Kingdom is looking for a specialist to optimize and build diffusion models for speech and audio generation. This role includes designing architectures, training models, and ensuring high-quality output. Candidates should have a proven track record in building such models and experience with large parameters. The position is remote within Europe and offers competitive compensation along with stock options.

Benefits

Competitive compensation
Stock options

Qualifications

  • Proven track record building diffusion models or flow matching systems.
  • Experience training large models (3B+ parameters) with distributed systems.

Responsibilities

  • Design and train large scale diffusion or flow matching models.
  • Develop novel architectures and training techniques to improve controllability and quality.
  • Build evaluation systems to measure generation quality and model behavior.
  • Work from low-level performance optimizations to high-level model design.

Skills

Building diffusion models
Training large models (3B+ parameters)
Distributed systems
Job description
Yourmission

You'll be building and optimizing diffusion or flow matching models that power their speech and audio generation.

This means developing production-ready architectures that can generate controllable, high-quality output at scale.

You'll own the full research-to-production pipeline from architecture design and training through deployment and optimization.

Your work will directly impact how millions of AI characters sound and interact.

Yourfocus
  • Design and train large scale diffusion or flow matching models
  • Develop novel architectures and training techniques to improve controllability and quality
  • Build evaluation systems to measure generation quality and model behavior
  • Work from low-level performance optimizations to high-level model design
What you’ll bring
  • Proven track record building diffusion models or flow matching systems
  • Experience training large models (3B+ parameters) with distributed systems
Nice to have
  • Experience with audio or speech generation
  • Publications or open source contributions in diffusion models or generative AI

Remote in Europe with competitive comp + stock.

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