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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