Principal Machine Learning Engineer – Weston-super-Mare

A principal machine learning engineer oversees the design and implementation of production-grade machine learning architectures, ensuring they are scalable, reliable, and optimised for performance. The role involves developing modular data processing, model execution, and post-processing systems, alongside establishing API contracts for cross-language communication with Python and C# APIs. Responsibilities include converting research prototypes into robust services with CI/CD pipelines, implementing monitoring and logging, and managing model versioning and deployment workflows. The engineer must be proficient in optimisation techniques such as GPU acceleration and profiling, as well as implementing security best practices for artefact management and authentication. Experience with diverse ML frameworks, APIs, containerisation, and observability tools is essential to succeed in this technical environment. This position requires strong skills in architecture, coding, performance tuning, and systems integration within a collaborative team setting.