Top Senior Machine Learning Jobs

Design and implement ML models to combat financial crimes, collaborate with stakeholders, and maintain regulatory documentation while leading ML practices.

As a Staff Machine Learning Engineer, you'll lead ML system strategy for fraud and risk management, use analytics for decision-making, and drive technical solutions across teams.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.

The Lead Machine Learning Engineer will design and deploy ML models, optimize AI systems, and collaborate with cross-functional teams to enhance banking solutions.

As a Machine Learning Platform Engineer, you will partner with teams to establish data science environments, oversee analytic solutions, and lead complex projects while enhancing collaboration between technology and data science teams.

The Staff Machine Learning Engineer will build and improve production systems for AI agents, implement AI algorithms, mentor engineers, and partner with experts to enhance enterprise AI products.

Develop AI/ML algorithms for signals exploitation, perform modeling and simulations, and engage in project teams for innovative solutions.

The Senior AI/ML Software Engineer will design and implement AI/ML systems for healthcare, focusing on improving patient engagement and optimizing clinical trials, while ensuring system performance and scalability.

Develop and implement AI/ML strategies, build machine learning models, collaborate with teams, and drive adoption of AI solutions in healthcare.

Lead and mentor a team of machine learning engineers to develop and deploy ML models supporting banking and lending services, while driving innovation and best practices.

Lead the architecture and implementation of a scalable AI/ML platform, focusing on data pipelines and integration of ML capabilities in business systems. Mentor and collaborate with cross-functional teams to optimize performance and deliver business value.

As a Lead Research Scientist in Machine Learning, you will develop AI/ML algorithms, lead teams, work on innovative problems, and communicate technical insights.

The Sr Machine Learning Engineer designs and implements ML applications, focuses on architectural design, and collaborates with cross-functional teams. Responsibilities include model development, deployment, maintenance, and ensuring code quality and governance.

The Senior Machine Learning Engineer will develop and enhance Moveworks' NLU and agentic AI capabilities, deliver production-quality code, and solve complex engineering challenges in conversational AI.

The Staff Machine Learning Engineer will lead Bitcoin risk modeling efforts, drive ML strategy, develop detection models, and mentor teammates.

As a Machine Learning Engineer in Fraud Risk, you'll build and maintain ML systems for fraud detection and anomaly analysis, ensuring robust performance and real-time decision making.

Lead the design, development, and deployment of machine learning applications, focusing on optimizing ML models and systems in a collaborative Agile environment.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

Lead the design and implementation of advanced ML models for autonomous driving, collaborating with teams, mentoring engineers, and driving technical initiatives.

As a Senior AI/ML Engineer, lead the design and implementation of AI systems, mentor a team, and drive projects from concept to delivery. Collaborate with cross-functional teams on healthcare-related AI solutions, ensuring quality and innovation in model development.

Lead the design and development of real-time machine learning personalization architecture, focusing on user experience and dynamic content discovery.

The Lead Machine Learning Engineer will manage AI/ML project lifecycles, collaborate with teams on model optimizations, implement best practices in MLOps, and mentor juniors while ensuring model reliability.

Lead a team of search relevance engineers to improve AI-powered enterprise search applications, focusing on ranking and relevance. Oversee the development of machine learning models, manage projects, and collaborate with cross-functional teams to enhance search quality.

Responsible for designing and developing AI/ML product features and infrastructure to empower intelligent business decisions and operational excellence for customers.

The Senior Software Engineer - Machine Learning at Celonis focuses on designing and developing AI/ML product features and customer solutions, ensuring high quality and scalability while collaborating with various teams.