Top Fintech Machine Learning Engineer Jobs

As Lead ML Engineer, you will architect and build a conversational AI interface, optimize models for deployment, and collaborate with a multidisciplinary team.

The role involves developing and implementing applications and databases, ensuring application performance, providing software development expertise, and mentoring less experienced staff.

The intern will assist in developing and implementing data-driven solutions using AI and Machine Learning, collaborate with teams, and support business decisions through analytics models.

The role involves architecting AI systems, developing algorithms for optimization and building hybrid search systems. You will lead MLOps processes and collaborate across functions to deliver AI-first products.

As a Software Engineer (AI), you will design and implement AI systems, manage backend services, and collaborate closely with teams. You need extensive experience with LLMs and backend technologies.

Conduct model development and implementation for risk models, support sales initiatives, analyze transaction data with big data technologies, and promote analytics education at Visa.

The Senior Staff Machine Learning Scientist will drive AI-driven solutions, develop ML frameworks for recommendations, and lead technical direction for personalized customer experiences.

The Senior Machine Learning Engineer will develop and maintain ML infrastructure, deploy models, collaborate with teams, and mentor junior engineers.

Design, build, and deploy ML and statistical models for threat and anomaly detection; engineer security data pipelines; partner with SOC and engineering to embed analytics into controls and incident response; monitor model performance, and communicate findings to technical and non-technical stakeholders.

The Senior AI Engineer will develop LLM-driven agents for business data enrichment, focusing on classification, risk scoring, and shared agent infrastructure.