Senior Machine Learning Engineer

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

Job summary

A recruitment agency is seeking a Senior Machine Learning Engineer in London to design, train, and optimize machine learning models, particularly in audio processing. The role involves developing robust ML pipelines, deploying MLOps systems, and collaborating with teams to deliver impactful solutions within the insurance industry. Candidates should have strong experience with PyTorch and a solid foundation in machine learning. The position offers a competitive salary, comprehensive benefits, and the opportunity to work in an innovative environment.

Benefits

Competitive salary

Comprehensive benefits package

Collaborative work environment

Opportunity to work with the latest technologies

Qualifications

• Strong foundation in ML, deep learning, and optimization.
• Hands-on experience training and deploying ML models.
• Proficiency with cloud platforms, preferably Azure.

Responsibilities

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

Skills

Machine learning

Deep learning

Python

PyTorch

Docker

MLOps

Audio processing

Cloud platforms

Tools

MLflow

Weights & Biases

DVC

Job description

• Work on Cutting-Edge AI & Agentic Systems.
• End-to-End Ownership & Impact.

About Our Client

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.

Job Description

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.

The Successful Applicant

Senior Machine Learning Engineer - London

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

Senior Machine Learning Engineer - London

• 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.