Senior ML Engineer: Foundation Models (Remote + Equity) in Ledston

Senior ML Engineer: Foundation Models (Remote + Equity) in Ledston

Ledston Full-Time 60000 - 84000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development and optimisation of next-gen foundation models in a technical role.
  • Company: Join an innovative company at the forefront of machine learning technology.
  • Benefits: Remote work, equity options, and competitive salary.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Make a real impact by solving complex engineering challenges with cutting-edge ML systems.
  • Qualifications: Extensive experience with foundation models, Python/CUDA, and PyTorch required.

The predicted salary is between 60000 - 84000 Β£ per year.

Unknown is seeking a Senior Machine Learning Engineer (Foundation Models) to lead development, optimisation, and deployment of a next-generation foundation model in a deeply technical role. You will architect large-scale ML systems, optimise distributed training and inference, and build GPU-accelerated infrastructure while collaborating with founders to solve complex engineering challenges.

The role requires extensive experience with foundation models, Python/CUDA, and PyTorch.

Senior ML Engineer: Foundation Models (Remote + Equity) in Ledston employer: C&D Talent Advisory

C&D Talent Advisory is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration. As a Customer-Facing AI Engineer, you will not only enjoy competitive compensation and equity but also have the unique opportunity to shape the company's presence in the UK while working in a high-autonomy environment that fosters professional growth and development.

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Contact Details:

C&D Talent Advisory Recruitment Team

We think you need these skills to ace Senior ML Engineer: Foundation Models (Remote + Equity) in Ledston

Machine Learning
Foundation Models
Python
CUDA
PyTorch
Large-Scale ML Systems Architecture
Distributed Training