Senior ML Engineer — Financial Markets AI & Production

Cboe; Chicago (IL); On-site; USD 150,000 - 210,000; Full time

Job summary

Cboe Global Markets is seeking a Senior Machine Learning Engineer - Regulatory to prototype, train, and deploy ML models and AI applications that monitor financial markets generating terabytes of data daily. You will build and operate production-grade ML infrastructure and data pipelines, with a focus on explainability and governance in a highly regulated environment.

You will work across on-premises and cloud environments, collaborating with companion engineering teams and mentoring junior

Qualifications

• 5+ years of Python development with production practices.
• Experience with enterprise cloud data platforms under RBAC governance.
• Strong SQL and large-scale data handling experience.
• Deep learning with PyTorch and time-series modeling.

Responsibilities

• Prototype, train, and deploy ML models and AI applications for market oversight.
• Develop and operate production-grade ML infrastructure and data pipelines.
• Collaborate with engineering teams across on-premises and cloud environments.
• Produce clear documentation: proposals, experiment specs, designs, and testing scenarios.
• Mentor junior engineers and contribute to code reviews and architecture.

Skills

Python

SQL

Time-series modeling

Deep learning

PyTorch

CI/CD

Docker

Cloud data platforms

RBAC governance

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

Databricks

BigQuery

Job description

Cboe Global Markets is seeking a Senior Machine Learning Engineer - Regulatory to prototype, train, and deploy ML models and AI applications that monitor financial markets generating terabytes of data daily. You will build and operate production-grade ML infrastructure and data pipelines, with a focus on explainability and governance in a highly regulated environment.

You will work across on-premises and cloud environments, collaborating with companion engineering teams and mentoring junior