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.
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