Senior Machine Learning Engineer – Cambridge

A senior machine learning engineer is sought to design, develop, and deploy advanced ML models in a financial technology environment. The role involves working with cloud services such as AWS, Azure, and GCP, and implementing scalable data pipelines using Docker and Kubernetes. Candidates should possess strong Python skills and experience with frameworks like PyTorch, TensorFlow, or Scikit-learn, alongside a solid understanding of statistics and software engineering. Responsibilities include collaborating with domain experts, optimising model performance, and contributing to ML architecture and best practices. Experience with financial services or insurance sectors is advantageous but not essential, and the environment emphasises innovation and technical excellence.