Engineering · Mid → Senior
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.
Location
Remote UK / Hybrid Rochdale
Type
Full-time
Salary
£80k – £120k
Team
Engineering
The Work
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.
Responsibilities
Own ML systems from data through deployment and monitoring.
Design experiments that answer real product questions.
Partner with data engineering to shape upstream datasets.
Keep our ML footprint boring, reliable and cheap.
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.
Nice to Have
Kubernetes / Ray / Airflow / dbt experience.
Fine-tuning LLMs with LoRA / QLoRA / PEFT.
Time-series or forecasting background.
Stack
Where You'll Ship
Apply
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