Senior Machine Learning Engineer - London

Senior Machine Learning Engineer - London

This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services.

• 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.