Top Fintech Machine Learning Engineer Jobs

The Machine Learning Researcher will build predictive models using deep learning, explore strategies to enhance portfolio performance, and update models based on research. They should have a strong foundation in ML with hands-on experience in relevant domains.

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

The Senior Machine Learning Engineer will design tools for agent development, optimize AI systems, and collaborate with teams to implement production-ready solutions.

The Senior AI Engineer will develop and deploy AI solutions, improve operational efficiency, and ensure production-grade AI services for Long-Term Care. Responsibilities include building ML pipelines, monitoring models, collaborating with teams, and ensuring compliance and governance.

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

The Senior ML/AI Engineer will design, build, and scale intelligent systems, develop ML models, and collaborate across teams to enhance product offerings.

As a Senior AI Engineer, you'll develop and scale production LLM services, maintain AI agents, and collaborate on AI platforms while optimizing performance and ensuring compliance with privacy standards.

Seeking a Senior Data Scientist/ML Engineer to develop and deploy Machine Learning algorithms, collaborate with teams, and assist federal clients in their digital transformation.

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

As a Senior Machine Learning Engineer, you will develop and optimize AI-powered features, enhancing insights from diverse data types using advanced ML and NLP techniques.