Role overview
This is a delivery‑focused contract role, ideal for an ML Engineer who enjoys turning models into scalable, high‑quality software. You'll work closely with Data Scientists and Software Engineers to productionise AI models used in wind‑turbine condition monitoring and predictive maintenance.
Responsibilities
- Design, build and maintain production ML services and APIs
- Implement model inference pipelines and optimise performance
- Develop robust data and feature pipelines integrating cloud data sources
- Write clean, testable, well‑documented code following modern software‑engineering practices
- Containerise and deploy ML solutions using Docker and CI/CD pipelines
- Support model deployment, monitoring and performance evaluation in live environments
About the company
- 3+ years' experience in ML Engineering or applied ML
- Strong commercial experience with Python and C# /.NET
- Experience deploying ML models into production environments
- Familiar with cloud platforms (AWS and/or Databricks preferred)
- Confident working end‑to‑end — from prototype to live system
Tags & focus areas
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