Requirements:

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

Nice to Have:

• Model serving at scale
• Experience in FinCrime, fraud, AML, or regulated environments
• Experience with model monitoring and drift detection systems
• Track record of migrating teams to platform-based approaches

What You'll Be Doing:

• 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
• Maximizing data science productivity

Perks and Benefits:

• Starting salary: £87,500 - £111,000 + RSUs
• Wise Benefits