Top Machine Learning Jobs in Orlando, FL

The Client Partner will manage relationships with key customers, drive revenue growth, and uncover new business opportunities while ensuring effective delivery of services.

As a Research Engineer at FAR.AI, you will develop machine learning algorithms, run experiments, collaborate with researchers, and contribute to research papers.

The Research Scientist will lead and develop AI Alignment research agendas, publish findings, and contribute to best practices in AI safety research.

The Director of Data Science leads the data science team, driving innovation, managing projects, and collaborating with leadership to enhance healthcare claims processing.

The Data Science Manager will lead a multidisciplinary team in delivering data science solutions, ensuring alignment with strategic goals and managing project delivery processes.

As a Solutions Architect, you will enable and support DGX Cloud Partners, enhancing their onboarding experience while providing technical expertise and fostering customer satisfaction with NVIDIA's AI platform.

Develop and implement advanced reinforcement learning methods and distributed systems for AI agents. Collaborate with customers to understand needs and create tailored solutions.

Lead a team of Data Scientists and Analytics Engineers at Netflix to enhance game development through data science and machine learning.

Lead and mentor data science teams to develop experimentation techniques for the ads business and drive data-driven decision making at Netflix.

Manage client relationships and energy market participation, ensuring program delivery, stakeholder engagement, and compliance with funding requirements. Foster client success through communication and expertise in energy solutions.

Lead the technical vision for ML systems focused on personalization, architecting solutions, solving complex challenges, and mentoring senior engineers.

The Global Strategic Feasibility Analytics Lead develops feasibility data analytics initiatives, transforms data into insights, collaborates with stakeholders, and drives data-driven decision-making for study planning.

Lead the design and development of ML models for autonomous agricultural robots, overseeing the full ML lifecycle and collaborating with cross-functional teams.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

As Head of Public Sector Sales, you'll define and execute the sales strategy for U.S. government sectors, managing complex sales cycles and building partnerships to drive revenue growth for TwelveLabs' AI technologies.

Lead a team to develop groundbreaking technology combining NLP, big data, and AI to enhance digital communication and interaction.

The AI Data Science Intern supports research in AI, ML, and software development, contributes to data pipeline design, prototypes applications, and collaborates on innovative projects.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.

The fellow will conduct original security research on AI/ML systems, design attack methodologies, develop defensive techniques, and publish findings.

As a Staff Machine Learning Engineer, you will lead the design, implementation, and optimization of machine learning models, collaborate cross-functionally, and drive AI strategy to enhance SailPoint's identity security solutions.

The Director, Product Management will lead the Contracting Product team, driving the vision and execution of the Clear Contracts platform, focusing on AI and Machine Learning in healthcare contracting.

The AI Engineer will design, implement, and prototype GenAI and ML solutions to enhance operational intelligence and efficiency in investment services.

The Sr. Managed Onboarding Manager will lead onboarding for key clients, translating needs into structured plans, managing projects, and improving programs with a focus on eCommerce advertising.

As a Digital Product Manager, you'll define, deliver, and manage machine learning powered products, driving their lifecycle and ensuring alignment with customer needs and strategic goals.

Assist in developing AI technologies by implementing algorithms, building systems, debugging software, and participating in testing sessions. Collaborate with teams on project goals and documentation.