Top Fintech Machine Learning Engineer Jobs

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.

The Senior AI/ML Engineer will build scalable AI systems, work with LLMs, optimize models, and deploy solutions using AWS while ensuring ethical standards.

Role involves monetising alpha through execution strategies in futures markets, developing execution logic, collaborating on research, and monitoring strategies' performance.

As a Senior Machine Learning Engineer at FINNY, you will design, train, and improve ML models for various applications, and work closely with other teams to optimize performance and ensure effective deployment.

The role involves developing advanced machine learning algorithms, solving complex optimization problems using reinforcement learning techniques, and leading technical projects while optimizing solutions for operational efficiency.

As an Applied AI Engineer, you will design and implement ML systems for customer interactions, focusing on performance and scalability.

Build and design backend services, AI agents, and machine learning models. Collaborate cross-functionally to deliver AI features and maintain code quality.

As a Senior Machine Learning Engineer, you will architect and operate production AI systems, build agentic workflows, and develop scalable inferencing pipelines. You will also mentor junior engineers and establish engineering standards across projects using Databricks and AWS.

As a Machine Learning Engineer, you will optimize backend services, integrate ML models, collaborate with cross-functional teams, and support continuous improvement initiatives.

The Machine Learning Engineer will own the ML lifecycle, develop production models, monitor performance, and collaborate with cross-functional teams to enhance business onboarding and fraud prevention applications.