Machine Learning Engineer

Salary: £26,000 - 54,000 per year

Requirements:

• Strong foundation in machine learning, deep learning, and optimisation
• Hands-on experience training, evaluating, and deploying machine learning models in real-world systems
• Proficiency with PyTorch, or TensorFlow, with familiarity in the Hugging Face ecosystem
• Experience with audio or speech models and frameworks
• Experience building and maintaining end-to-end ML pipelines and MLOps tooling such as MLflow, Weights & Biases, DVC, or similar
• Strong Python skills
• Experience with Docker, CI/CD, and cloud platforms, with 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

Responsibilities:

• Design, train, and optimise machine learning models for audio processing tasks such as speaker diarization, automatic speech recognition, and voice activity detection
• Build and maintain training and inference pipelines using PyTorch and related ML frameworks
• Source, curate, and prepare training datasets, and 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 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 machine learning solutions

Technologies:

• Agentic AI
• AI
• Azure
• CI/CD
• Cloud
• Docker
• Machine Learning
• MLflow
• MLOps
• PyTorch
• Python
• TensorFlow
• Support
• MCP

More:

We are a medium-sized software development organisation committed to utilising advanced analytics and machine learning to enhance our services and deliver value to our clients. This is a permanent, full-time Machine Learning Engineer role based in London, England, with a competitive salary of £75,000 to £95,000 per annum. We offer a comprehensive benefits package, a collaborative and innovative work environment, and the opportunity to work on impactful projects using the latest technologies. You will join a leading organisation within the insurance industry and have the chance to work on cutting-edge AI and agentic systems with strong opportunities for collaboration and professional growth.

last updated 34 week of 2026