Machine Learning Engineer – York

A machine learning engineer position is available within a financial services organisation in York. The role involves deploying, monitoring and maintaining machine learning models in production environments using cloud platforms such as Azure and GCP. Responsibilities include building APIs with Python frameworks like FastAPI or Flask, deploying real-time and batch models, developing CI/CD pipelines, automating the ML lifecycle, managing model registries, and collaborating with data scientists and engineering teams. Candidates should have experience in Python, ML deployment, cloud infrastructure, Docker, Terraform, and API support, ideally with knowledge of neural networks or random forests. The role offers involvement in designing scalable ML deployment systems and setting up MLOps processes. A background in financial services is advantageous but not essential, with overall strong ML and engineering fundamentals being crucial.