Senior ML Platform Engineer I - Financial Crime

Job summary

The Senior ML Platform Engineer role is centered on developing a model lifecycle platform for financial crime detection, facilitating the scalable development, deployment, and monitoring of machine learning models. Responsibilities include designing a declarative training pipeline, implementing model evaluation frameworks, and establishing model monitoring systems, utilizing technologies such as Python, Kotlin, Java, SQL, and ML orchestration tools like Airflow and Kubeflow.

Qualifications

• Experience building ML platform infrastructure in production
• Strong software engineering fundamentals
• Experience with ML orchestration
• End-to-end understanding of the ML lifecycle
• A product mindset for internal tooling

Responsibilities

• Designing and building the declarative training pipeline
• Building model packaging and serving abstraction
• Implementing the model evaluation framework
• Building model monitoring
• Owning the integration layer with central ML infrastructure
• Maximising data science productivity

Skills

Relocation