Senior Machine Learning Engineer - City of London

- Design, train, and optimise machine learning models for audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection - Build and maintain training and inference pipelines using PyTorch and related ML frameworks - Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows - Run structured experiments, evaluate model performance, and iterate based on measurable results - Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production monitoring - Package and deploy models using Docker and cloud infrastructure, with a focus on reliability and scalability - Design and deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools - Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources - Evaluate and integrate large language models into production systems where they add clear value - Collaborate with product and business teams to translate requirements into practical ML solutions