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Principal ML Engineer

McGregor Boyall · London

Remote
Remote Senior 80,000 - 180,000 GBP/year 🇬🇧 English
Python PyTorch JAX GPU training LLMs Modern ML infrastructure

Job description

About the role

We are partnering with a well‑funded, stealth AI startup that is building a next‑generation AI assistant to help users manage everyday tasks, conversations and workflows. The product is pre‑launch, offering a rare opportunity to join a small, high‑calibre engineering team and shape the machine‑learning systems from day one.

Key responsibilities

  • Design, build and deploy production‑grade machine‑learning systems.
  • Own the full ML lifecycle, from data preparation through training, evaluation and inference.
  • Translate research breakthroughs into reliable, production‑ready solutions.
  • Optimise models for performance, latency, scalability and cost.
  • Develop robust training and inference pipelines and debug complex production issues using real‑world data.
  • Mentor engineers and drive engineering standards across the ML function.

Required profile

  • Commercial experience delivering production ML systems.
  • Strong Python software‑engineering background.
  • Hands‑on experience with modern large‑language‑model training, fine‑tuning or deployment.
  • Proficiency with PyTorch and/or JAX.
  • Experience building scalable ML infrastructure and inference pipelines.
  • Ability to own projects end‑to‑end in fast‑moving environments.
  • Previous mentoring or technical leadership experience is a plus.

Required skills

  • Python
  • PyTorch
  • JAX
  • GPU training
  • LLMs
  • Modern ML infrastructure

What we offer

  • Competitive salary range £80,000‑£180,000 per year.
  • Equity participation.
  • Fully remote work across Europe.
  • Opportunity to shape a groundbreaking AI product from the ground up.

Questions fréquentes

Le salaire proposé pour ce poste est de 80-180k GBP par an. Le détail figure dans l'annonce.
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McGregor Boyall

London