Machine Learning - Engineer - London

Work on Cutting-Edge AI & Agentic Systems. Collaboration and Professional Growth.

About Our Client

This opportunity is with a medium-sized software development organisation. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients.

Job Description

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.

The Successful Applicant

A successful Machine Learning Engineer should have:

• Strong foundation in machine learning, deep learning, and optimisation.
• Hands-on experience training, evaluating, and deploying ML models in real-world systems.
• Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem.
• Experience with audio or speech models and frameworks.
• Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar).
• Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred).
• Practical experience designing agentic AI systems and integrating models with external services.
• Comfortable owning the full ML lifecycle, from data preparation to production deployment.
• Clear communicator who can work effectively across technical and non-technical teams.

What's on Offer

• Competitive salary ranging from 75,000 to 95,000 per annum.
• Comprehensive benefits package to support your well-being.
• Opportunity to work in a leading organisation within the insurance industry.
• Collaborative and innovative work environment in London.
• Chance to work on impactful projects using the latest technologies.

If you're a passionate Machine Learning Engineer looking to make a difference in the Technology sector, we encourage you to apply and be part of this exciting opportunity in London.