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About the Role

Compare the Market is building ML & AI systems that connect directly to how millions of people in the UK find and buy financial products. As a Senior Machine Learning Engineer, you will play a central role in making those systems production-ready by owning the engineering that takes ML models and AI capabilities from experimentation into reliable, scalable production use.

Responsibilities

• Own the end-to-end delivery of production machine learning and AI solutions in collaboration with data scientists and product teams
• Design and build model pipelines for training, validation, and deployment using modern tooling (e.g. MLflow, Kubernetes)
• Contribute hands-on code to model packaging, deployment, and lifecycle automation
• Build systems that monitor model performance, drift, reliability and operational health in real time
• Support both batch and real-time ML workloads depending on use case requirements
• Work on emerging AI and LLM-powered capabilities, helping integrate modern AI techniques into production systems where they can deliver real user value
• Help evolve our internal ML and AI platform to support experimentation, governance, and collaboration
• Define and promote best practices for ML and AI system design, including reproducibility, testing, CI/CD, model and agent observability and evaluation
• Develop shared tools and libraries that accelerate safe, efficient, and scalable ML development
• 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
• 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

Requirements

• 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
• 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
• 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
• 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

Skills

• Python
• MLflow
• Kubernetes
• Databricks
• Airflow
• Kubeflow
• SageMaker
• Vertex AI
• Terraform
• CloudFormation
• Kafka
• Flink
• Spark Structured Streaming
• LangGraph
• LangChain

Location

• Hybrid, London office

Work Type

• Hybrid
• Full-time

Experience Level

• Senior

About the Company

• Compare the Market is a purpose-driven business powered by tech and AI.
• We’re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace.
• Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.
• We’ve carved a meerkat-shaped niche and we’re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment.
• 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.