Senior Machine Learning Engineer - Platform Team
Core
Design and build ML platform tooling for feature engineering, training, experimentation, monitoring, and serving to support data scientists.
Role type
Senior Machine Learning Engineer (Platform)
Builds
Self-service ML infrastructure and tooling for data scientists
Domain
Fintech, Machine Learning Platform Engineering
Deliverable
production ML models
Required skills
Python, ML libraries, ML orchestration (Metaflow, MLflow, Kubeflow, Tecton, Chronon, Airflow), batch and real-time data processing (Spark, Flink, Kafka), AWS cloud services, Docker, Kubernetes, Terraform
Preferred skills
Experience building production-grade ML infrastructure (feature stores, training frameworks, orchestration, serving, monitoring)
Technologies
Python, Spark, Flink, Kafka, AWS, Docker, Kubernetes, Terraform, Metaflow, MLflow, Kubeflow, Tecton, Chronon, Airflow
Responsibilities
Design and build ML platform tooling; Simplify feature creation workflows; Standardise ML infrastructure and developer experience; Partner with data scientists to translate pain points into platform improvements; Mentor data scientists on best practices; Collaborate with Data Platform teams
Seniority
Senior, hands-on IC
