Machine Learning Engineer – York

A Machine Learning Engineer is responsible for building and maintaining the infrastructure for deploying, monitoring, and scaling machine learning models in production environments across Azure and GCP. The role involves developing APIs with Python frameworks like FastAPI or Flask, deploying models in real-time and batch processing settings, and creating CI/CD pipelines to automate testing and deployment. Candidates will automate the full ML lifecycle, manage model registries, monitor services, and collaborate with data scientists and engineers to ensure models are operational and effective. The position requires a solid understanding of ML deployment, infrastructure management with Terraform and Docker, and experience with cloud platforms such as Azure or GCP. It is ideal for those with three to five years' experience in ML engineering, who are familiar with production environments, ML lifecycle management, and relevant development tools.