Machine learning ops engineer

We are looking for aMachine Learning Ops Engineerto help operationalise machine learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value.

What Youll Do
* Build, maintain, and optimise automated ML deployment pipelines with CI/CD, containerisation, and orchestration.

* Monitor model performance, data drift, and system health to ensure reliability and availability.

* Support ML platforms and infrastructure on-premise or in the cloud (AWS, SageMaker), ensuring scalability and security.

* Collaborate with data scientists to productionise models and embed ML Ops best practices across the organisation.

* Ensure governance, compliance, documentation, and reproducibility of ML pipelines and models.

* Provide 2nd/3rd line support, manage release cycles, and resolve incidents efficiently.

* Continuously improve ML Ops processes, tooling, and automation for efficiency and reliability.

What Were Looking For