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Principal ML Engineer - McGregor Boyall

eFinancialCareers·London (South East England)RemoteSenior
£80 000 – £180 000 / yearestimated
Vox Summary
  • Role Responsibilities: Design, build, deploy, and own production machine learning systems, including data preparation, training, evaluation, inference, and optimizing models.
  • Key Requirements: Experience building and deploying ML systems, strong Python skills, familiarity with PyTorch/JAX, building scalable ML infrastructure, and project ownership.
  • Team & Environment: Work within a small, high-calibre engineering team on a pre-launch AI product, with opportunities to mentor and drive engineering standards.
  • Conditions & Benefits: Fully remote work across Europe, salary range of £80,000 - £180,000 plus equity, working in a fast-moving environment.
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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 lifecycle, 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 - McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

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Original source
reed.co.uk
Posted
Jul 20, 2026 · true date
Last verified
5 hours ago
Quality score
35/100
Salary stated0
Company identified0
applyUrl0
postedAt15
Complete description20

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