Lead ML & MLOps Platform for Regulated Fintech

InPost; United States; Remote; USD 178,000 - 254,000; Full time

Job summary

InPost seeks a senior ML/AI leader to build and own a production-grade ML platform within a data and AI leadership team. The role focuses on agentic systems, model risk governance, and end-to-end ML lifecycle, spanning development, validation, deployment, monitoring, and retraining.

You will work with cross-functional partners in Data Engineering and Credit Risk to ensure robust, compliant ML solutions that deliver measurable business impact in a fast-paced scale-up environment.

Qualifications

• Requires leadership in ML teams within regulated settings.
• Experience across the full ML lifecycle: development, validation, deployment, monitoring and retraining.
• Familiarity with credit risk modelling or underwriting ML is a plus.

Responsibilities

• Own the ML & MLOps platform, including serving, monitoring, and retraining.
• Lead model risk management and responsible AI governance.
• Collaborate with Data Engineering and Credit Risk teams to align on requirements and roadmaps.

Skills

Data leadership

ML lifecycle

Regulated environments

Credit risk modelling

English (B2+)

Tools

Databricks

Spark

Job description

InPost seeks a senior ML/AI leader to build and own a production-grade ML platform within a data and AI leadership team. The role focuses on agentic systems, model risk governance, and end-to-end ML lifecycle, spanning development, validation, deployment, monitoring, and retraining.

You will work with cross-functional partners in Data Engineering and Credit Risk to ensure robust, compliant ML solutions that deliver measurable business impact in a fast-paced scale-up environment.