Senior Machine Learning Engineer
Core
Design, build, and deploy end-to-end machine learning pipelines to bring intelligent automation and predictive capability to the UK property market.
Role type
Senior Machine Learning Engineer
Builds
ML systems for estate agents and home builders
Domain
Real estate / PropTech
Deliverable
production ML models
Required skills
Python, scikit-learn, PyTorch, TensorFlow, MLOps, model serving, monitoring, drift detection, retraining pipelines, AWS, containerization, serverless, Airflow, dbt, Spark
Preferred skills
None stated
Technologies
Python, scikit-learn, PyTorch, TensorFlow, AWS SageMaker, S3, Redshift, Terraform, TypeScript, Node.js, C#, .NET, ECS, Lambda, SQS, DynamoDB, Airflow, dbt, Spark
Responsibilities
Design and deploy end-to-end ML pipelines from data ingestion to model serving; Own the full lifecycle of ML models including evaluation, iteration, and retirement; Collaborate with product and engineering teams to frame business problems as ML problems; Establish and maintain standards for ML reproducibility, experiment tracking, and model versioning; Identify opportunities to apply ML across the product suite; Work with large, complex datasets from live UK property transactions; Contribute to engineering excellence through code reviews and knowledge-sharing
Seniority
Senior, hands-on IC
