Senior Machine Learning Engineer

Michael Page; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A consulting firm in London is seeking a Senior Machine Learning Engineer to join its analytics team. The role involves designing and implementing machine learning solutions for the insurance industry, particularly in audio processing. Responsibilities include building ML pipelines, evaluating models, and deploying solutions globally. The ideal candidate has a strong background in ML, experience with frameworks like PyTorch, and excellent collaboration skills. This opportunity offers a competitive salary and a chance to work on innovative projects in a dynamic environment.

Benefits

Competitive salary

Comprehensive benefits package

Collaborative work environment

Qualifications

• Strong foundation in machine learning and optimisation.
• Hands-on experience with real-world ML deployment.
• Proficiency in Python and familiarity with cloud platforms.

Responsibilities

• Design and optimise machine learning models for audio tasks.
• Build and maintain ML training pipelines using PyTorch.
• Collaborate with business teams to translate requirements into ML solutions.

Skills

Machine learning

Deep learning

Python

PyTorch

Docker

Tools

CI/CD

Azure

MLflow

Hugging Face

Job description

Overview

Senior Machine Learning Engineer - London. Join the analytics team as a Machine Learning Engineer in the insurance industry, where you\'ll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward thinking environment.

Client Details: Senior Machine Learning Engineer - London. This opportunity is with a medium-sized organisation in the insurance industry. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients.

Responsibilities

• 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.

Profile / Qualifications

• 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.

Job Offer / Benefits

• Competitive salary ranging from £80,000 to £100,000 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 insurance industry, we encourage you to apply and be part of this exciting opportunity in London