Machine Learning Engineer (Production ML Systems)

Oliver Bernard • United Kingdom

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AI Summary

Seeking a Machine Learning Engineer to bridge research and production for a London-based AI startup. This role involves taking ML research from prototype to deployment, optimizing LLMs, and building scalable inference systems. Requires 2+ years of shipping ML systems, strong deep learning/LLM experience, and Python engineering skills.

Key Highlights

Build and optimize production ML systems for a well-funded AI startup.

Focus on taking research ideas to reliable, scalable deployment.

Opportunity to work with LLMs, large-scale modeling, and real-world decision support.

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Key Responsibilities

Take new ML research from prototype through to production

Fine-tune, post-train and distil language models

Build and optimise inference systems at scale

Design data pipelines for large, messy real-world datasets

Improve model performance, latency and cost

Own ML systems end-to-end from experimentation through deployment

Technical Skills Required

Python LLMs Deep Learning

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Benefits & Perks

Up to £180,000 salary

Equity

Visa sponsorship available

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Nice to Have

model distillation

distributed training

inference optimisation

data pipelines

Job Description

Machine Learning Engineer | Up to £180k + Equity | London, 5 Days Onsite

We're working with a well-funded London AI startup building complex production ML systems for major global organisations.

The business is tackling a technically difficult problem that sits across large-scale modelling, LLMs and real-world decision support.

They've already secured strong commercial traction, are backed by leading investors, and are now expanding the engineering team around the core ML platform.

This role is focused on taking ambitious research ideas and turning them into reliable production systems.

The Role

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