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Remote
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Principal ML Engineer

McGregor BoyallLondon🇬🇧United KingdomPosted 20 Jul 2026

Why This Role Stands Out

This Principal ML Engineer role offers a unique 0-to-1 opportunity to shape the future of an AI assistant, with significant growth potential and a highly competitive salary and equity package. You'll thrive here if you're an experienced ML engineer with strong Python and PyTorch/JAX skills, ready to own production ML systems from end-to-end in a fully remote, fast-paced startup environment. Embrace this chance to make a substantial impact and advance your career by applying today!

Quick Overview

Salary
£80k - £180k/yr
Work Type
Remote
Schedule
Full Time
Level
Leader

Job Description

Senior Machine Learning Engineer
AI Startup
Location: Fully Remote (Europe)
Salary: £80,000 - £180,000 + Equity

The Role
I'm working with a well-funded, stealth AI company building a next-generation AI assistant designed to help people manage everyday tasks, conversations and workflows.

The product is still pre-launch, making this a genuine 0?1 opportunity to join a small, high-calibre engineering team and build the machine learning systems that will power the product from day one.

They're hiring across multiple levels, from Senior through to Staff Machine Learning Engineers.

Key Responsibilities

  • Design, build and deploy production machine learning systems
  • Own the full ML life cycle, from data preparation through to training, evaluation and inference
  • Turn research into reliable, production-ready ML solutions
  • Optimise models for performance, latency, scalability and cost
  • Build robust training and inference pipelines
  • Debug complex production issues using real-world data and signals
  • Mentor engineers and help drive engineering standards across the ML function

Key Requirements

  • Commercial experience building and deploying production ML systems
  • Strong Python software engineering skills
  • Experience training, fine-tuning or deploying modern machine learning models
  • Strong experience with PyTorch and/or JAX
  • Experience building scalable ML infrastructure and inference pipelines
  • Comfortable owning projects end-to-end in fast-moving environments
  • Previous mentoring or technical leadership experience would be advantageous

Tech Stack
Python. PyTorch. JAX. GPU Training. LLMs. Modern ML Infrastructure

Get in touch for more details - (see below)

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Skills

Machine Learning
PyTorch
Python

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