Machine Learning Engineer Full Time London - Hybrid Were partnering with a rapidly scaling PropTech SaaS business transforming how property data is enriched, automated, and delivered across multi-tenant environments. Theyre now hiring a Machine Learning Engineerto help build intelligent, production-grade ML systems at the core of their platform. Responsibilities Build and deploy machine learning models into production. Develop ML systems optimised for a multi-tenant SaaS platform. Create ETL pipelines for large, complex property datasets. Monitor, tune, and iterate on model performance. Collaborate with product and engineering teams on ML-driven features. Document solutions and communicate clearly with technical and non-technical stakeholders. Key Skills 4 years as a Machine Learning Engineer or similar role. Strong Pythonengineering skills. Experience deploying ML models in production. Understanding of multi-tenant SaaS architecture. Solid ETL, data processing, and feature engineering experience. Strong statistical and analytical capabilities. Experience in start-up or scale-up environments. Desirable MLOps tools (MLflow, Kubeflow, Sagemaker, etc.) Experience in PropTech or property data. Cloud experience (AWS/GCP/Azure). Docker/Kubernetes, CI/CD, and event-driven data tools (Kafka/Kinesis). Knowledge of data governance in SaaS environments.