Top Fintech Machine Learning Engineer Jobs

As a Machine Learning Engineer, you will build end-to-end ML systems for autonomous underwriting, collaborating with underwriters and engineers to advance ML capability.

Join our trading team to analyze market data, develop statistical models, apply machine learning for price prediction, and conduct backtesting for trading strategies.

As a Senior Software Engineer for AI Applications, you'll develop AI-native features, own backend systems, and ensure performance and safety in AI workflows.

Design, develop, and deploy production machine learning models to improve decisioning for consumer lending. Partner with business and technical teams to develop data sources, improve modeling methodology, manage models in production, and mentor others while practicing strong software engineering and MLOps practices.

The VP, Quantitative Developer will develop algorithms for crypto markets while collaborating with traders and optimizing trading systems.

The Senior Machine Learning Engineer will develop and optimize production machine learning models, implementing MLOps practices, monitoring performance, and collaborating across teams.

Lead the design and operation of analytical and machine-learning systems, define AI/ML strategy, and ensure model reliability and compliance in production.

Develop and deploy advanced AI/ML models using Python. Responsibilities include optimizing models, collaborating with teams, and implementing AI frameworks and LLMs.

As a Machine Learning Intern, you'll train large-scale models for fintech applications, analyze data, and improve existing ML systems alongside professionals in a hybrid work setup.

Individual-contributor ML engineer who designs, prototypes, and ships AI-powered newsroom and reader-facing tools. Build and deploy production systems leveraging LLM APIs and web technologies, collaborate with journalists and cross-functional teams, create evaluation frameworks, ensure responsible AI use, and iterate on MVPs based on newsroom feedback.