Machine Learning Engineer

You take models from notebook to production and keep them healthy. From classical ML to modern LLM fine-tunes, you know what to reach for, what to skip, and how to measure whether it’s working.

What you’ll build

• Forecasting, ranking and classification models that ship to customers weekly.
• Feature stores, training pipelines and evaluation harnesses.
• Drift monitoring and automatic retraining loops.
• Fine-tunes and distillations for high-volume LLM paths.

Requirements

• 4+ years shipping ML in production.
• Strong Python; solid SQL; comfortable with Docker and cloud infra.
• Fluent in classical ML and modern deep learning.
• Understand experiment design, offline vs online eval, and causal traps.
• Right to work in the UK.

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