Senior Machine Learning Engineer - Customer AI

• Work closely with data scientists to productionise experimental models and turn prototypes into robust services
• Act as a technical mentor and code reviewer for other engineers and contributors
• Provide technical leadership across ML and AI initiatives, contributing to architecture discussions and design reviews

Culture and Innovation

• Contribute to a culture of engineering excellence, collaboration, and continuous learning
• Stay up to date on emerging tools and approaches in MLOps and applied AI, helping evaluate and adopt technologies where appropriate
• Support responsible AI practices, contributing to explainability, auditability, and fairness in ML systems

What we'd like to see from you:

• Hands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such as LangGraph or LangChain
• Familiarity with multi-step AI patterns - building systems where models plan, retrieve information and take sequences of actions
• Strong experience deploying ML models into production in cloud-native environments
• Solid software engineering skills in Python, with experience building scalable services, APIs, and production-quality code
• Experience with modern ML tooling and platforms (e.g. Databricks, MLflow, Airflow, Kubeflow, SageMaker, Vertex AI)
• Familiarity with CI/CD pipelines and infrastructure-as-code (e.g. Terraform, CloudFormation)
• Experience building robust, maintainable, and testable ML pipelines and APIs, including batch or real-time model delivery
• Strong understanding of ML lifecycle challenges - versioning, testing, monitoring, governance
• Excellent collaboration and communication skills, with experience working across data science, engineering, and product teams

Nice to Have

• 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 in financial services, insurance or another regulated sector
• Experience deploying real-time or streaming ML models (e.g. Kafka, Flink, Spark Structured Streaming)
• Passion for automation, tooling, and building reusable systems
• 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.