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This job expired on 27/09/2026. It no longer accepts applications.
Principal ML Engineer
McGregor Boyall · London
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.
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McGregor Boyall
London
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