Principal Machine Learning Engineer

A Principal Machine Learning Engineer in Nottingham is responsible for leading the design and development of scalable ML architectures, including data pipelines, model deployment, and governance frameworks. The role involves defining best practices in MLOps, model explainability, and enterprise-grade security, with a focus on high performance and regulatory compliance. The engineer will mentor teams, influence architectural decisions, and collaborate across platform, security, and data engineering functions to foster innovation. Expectations include proven experience with AWS SageMaker, Python, and ML frameworks such as PyTorch or TensorFlow, alongside expertise in model lifecycle management and real-time inference. The candidate will oversee telemetry, drift detection, and observability strategies to enhance system reliability and compliance. This role demands a strategic thinker with a strong technical background capable of managing complex ML ecosystems at an enterprise level.