Machine Learning Engineer (London)

Location : Hybrid / London or Peterborough
Team : Data & AI

Why this role matters
At Compare the Market, were applying AI to real-world problems that help millions of people make smarter financial decisions. As a Machine Learning Engineer, youll work at the heart of this transformationbuilding the infrastructure and tooling that enables our data scientists to move from prototype to production quickly, safely, and at scale.
Youll be part of a growing ML Engineering team, contributing to a modern MLOps platform and delivering robust ML services in collaboration with product, engineering, and data science colleagues. This is a hands-on role thats ideal for someone who wants to grow in a high-impact environment with strong mentorship and real ownership.

What youll be doing
ML Engineering & Deployment
Develop and maintain machine learning pipelines for training, validation, and deployment
Collaborate with data scientists to productionise models and turn prototypes into performant, reliable services
Contribute to deployment tooling and automation for both batch and real-time ML use cases
Build monitoring and alerting for model health, performance, and data drift
Platform & Standards
Support the evolution of our internal ML platform and development workflows
Apply best practices in testing, CI/CD, version control, and infrastructure-as-code
Contribute to team libraries, reusable components, and shared deployment patterns
Collaboration & Growth
Work in cross-functional teams alongside product managers, engineers, and analysts
Participate in design sessions, peer reviews, and sprint planning
Learn from and be mentored by experienced ML Engineers and technical leaders

What were looking for
Must Have
Practical experience deploying ML models into production environments
Strong Python development skills and understanding of ML model structures
Familiarity with tools such as MLflow, Airflow, SageMaker, or Vertex AI
Understanding of CI/CD concepts and basic infrastructure automation
Ability to write well-tested, maintainable, and modular code
Strong collaboration skills and a growth mindset
A background in software engineering, computer science, or a quantitative fieldor equivalent hands-on experience in ML delivery
Nice to Have
Experience working in regulated sectors such as insurance, banking, or financial services
Exposure to Databricks, container orchestration (e.g. Kubernetes), or workflow engines (e.g. Argo, Airflow)
Familiarity with real-time model deployment, streaming data, or event-driven systems (e.g. Kafka, Flink)
Interest in MLOps, model governance, and responsible AI practices
Understanding of basic model evaluation, drift detection, and monitoring techniques

Why Join Us?
Youll work on meaningful problems using modern tooling, surrounded by smart, supportive people. Well invest in your development, give you the space to grow, and the opportunity to shape how AI is delivered across Compare the Market.

Everyone Is Welcome
Were committed to building a diverse and inclusive Data & AI team where everyone feels they belong. If this role excites you but you dont meet every single requirement, we still encourage you to apply. We care about what you can donot just where youve been.

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