Machine Learning Engineer

AutoThink Group; Rochdale; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

AutoThink Group is seeking an experienced ML engineer to take models from notebook to production, ensuring health and performance across deployments. You will work on forecasting, ranking and classification models shipped weekly, building feature stores, training pipelines and evaluation harnesses.

Expect drift monitoring, automatic retraining loops, and fine-tuning/distillation for high-volume LLM paths, applying both classical ML and modern deep learning approaches with a strong emphasis on

Qualifications

• 4+ years shipping ML in production.
• Proficient in Python and 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.

Responsibilities

• 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.

Skills

Python

SQL

Docker

Cloud infra

Classical ML

Deep Learning

Experiment design

Eval design

Causal inference

Tools

Docker

Job description

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.