Machine Learning Engineer – York

An organisation seeks a machine learning engineer to deploy and maintain models in production environments. The role involves building APIs with FastAPI or Flask, deploying in real-time and batch settings, and developing CI/CD pipelines. Responsibilities include automating the ML lifecycle, managing model registries, and monitoring services, with tools like Terraform and Docker. Collaboration with data scientists and engineers is essential to transform research into scalable software solutions. The candidate should have 3 to 5 years' experience in ML engineering, proficient in Python, cloud platforms, and infrastructure tools. Experience in financial services is advantageous but not essential, with a focus on strong software fundamentals and ML knowledge.