Machine Learning Engineer

• Work closely with data scientists to help productionise experimental models and turn prototypes into robust services
• Contribute to code reviews, providing and receiving constructive feedback
• Participate in architecture and design discussions, raising considerations around scalability, reliability, and system interactions

Culture and Innovation

• Contribute to a culture of engineering excellence, collaboration, and continuous learning
• Stay curious about emerging tools and approaches in MLOps and applied AI, and bring ideas for improvement to the team
• Support responsible AI practices, contributing to explainability, auditability, and fairness in ML systems

What we'd like to see from you:

• Some experience delivering ML or AI components in a production or near-production environment
• Solid software engineering skills in Python, with an understanding of how to write maintainable, testable code
• Familiarity with ML tooling and platforms such as Databricks, MLflow, Airflow, or equivalent
• Familiarity with CI/CD pipelines and how they apply to ML systems
• An understanding of ML lifecycle challenges - versioning, testing, monitoring, governance
• Good collaboration and communication skills, with an ability to work effectively across data science, engineering, and product teams

Nice to Have

• Exposure to LLM-based systems - for example prompt engineering, RAG, or orchestration frameworks such as LangGraph or LangChain
• Familiarity with multi-step AI patterns - systems where models plan, retrieve information, and take sequences of actions
• Active personal use of AI-assisted or agentic coding tools, and an interest in how similar patterns could be applied to automate and accelerate ML engineering workflows - candidates who are exploring this space, even at an early stage, are encouraged to talk about it
• Experience or interest in financial services, insurance, or another regulated sector
• Interest in responsible AI and ML model governance

Why Compare the Market?

We’re a business built for pace and performance.

Here, you’ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.

We believe diverse teams make better decisions, and we’re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.

If you’re ready to stretch yourself, raise the bar, and grow with a team that’s serious about performance, innovation, and purpose, we’d love to hear from you.