Top Fintech Machine Learning Engineer Jobs

The role involves leveraging data science techniques and machine learning to drive business solutions, enhance data applications, and collaborate with stakeholders and data engineers.

Lead the development of statistical and machine learning solutions for actuarial pricing and reserving, collaborating with various stakeholders and managing model lifecycles.

Lead a team to develop machine learning models for credit strategies, collaborating across functions and delivering measurable business outcomes.

Lead research and development of advanced fraud detection ML models, experiment design, productionizing prototypes, and mentoring engineers.

The Principal Applied ML Researcher will define ML and LLM strategies for Trase OS, lead technical breakthroughs, manage the research-to-production lifecycle, and ensure reliable systems deployment in regulated environments.

Lead the development of production-grade machine learning solutions, collaborating with cross-functional teams to solve complex business problems and deliver measurable impact.

Lead the development of AI systems, design intelligent applications, integrate LLMs with vector databases, and optimize AI workflows for enterprise solutions.

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

The Senior Machine Learning Engineer will manage the lifecycle of ML models, transform prototypes to production code, build training pipelines, and monitor system performance.

The Machine Learning Performance Engineer will build training and inference pipelines, enhance deep learning frameworks, improve performance, and collaborate with researchers and engineers to optimize trading systems.