Top Remote Machine Learning Jobs in Orlando, FL

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.

The Senior Product Manager will lead Provider Experience, simplifying workflows and enhancing clinician support through effective system management and cross-functional collaboration.

Lead development of large-scale machine learning systems, solve hard technical problems, collaborate across product and engineering, and drive ML initiatives that support Coinbase's onchain platform and mission to modernize financial systems.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

Dandy seeks a Machine Learning Engineer to develop 3D computer vision models using SOTA methods, collaborate with product teams, and implement MLOps pipelines.

The role involves building computer vision models, researching deep learning methods, handling large datasets, and implementing MLOps best practices.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

Build and own full-stack UX and backend systems for the ML lifecycle: design architecture, integrations, observability, CI/CD, and production frontend/backends. Lead technical initiatives, mentor engineers, and collaborate across teams to scale ML platform capabilities.

The Digital Inside Sales Specialist will identify and close digital transformation opportunities in AI, ML, and automation, focusing on B2B sales within targeted accounts while collaborating with internal teams for technical consultation.

As an Account Executive, you'll drive strategic sales, acquire new enterprise customers, negotiate contracts, and manage a sales pipeline for Runpod's AI infrastructure offerings.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

The Director of AI & Automation will strategize and implement AI, automation, and machine learning initiatives, improving operational efficiency and user experiences.

Lead the design, development, and deployment of machine learning models, collaborating with teams and mentoring engineers. Focus on scalable ML workflows.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

Design and build ML features using LLMs, collaborate on technical architecture, and ensure safety and performance of deployments.

Support Product team to discover, design, build, and deploy custom AI assistant solutions for healthcare clients. Engage users, map workflows, gather requirements, develop and evaluate assistants using the QH platform, coordinate engineering support, lead training/testing, perform data analysis for business cases, prepare governance metrics, and support account and rollout communications.

The VP of AI and Innovation will define and lead the AI strategy at BeOne Medicine, focusing on innovation, data management, and organizational enablement in healthcare. They will mentor teams and engage stakeholders to drive AI adoption and ensure alignment with business objectives.

As a Full-Stack Data Scientist at Stitch Fix, you will develop customer-oriented solutions in recommendation systems and search engines, impacting business outcomes and collaborating with teams to innovate client-facing products.

Lead pre-sales technical engagements for Conversational and Generative AI solutions, collaborate across teams, and design value-driven demos for enterprise customers.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

The Lead Database Engineer designs and oversees data architecture, leveraging AI and machine learning to manage structured and unstructured data and ensure data integrity.

The Product Manager will lead platform offerings, engage with cross-functional teams, define product metrics, and ensure the integration of intelligent machines for customers.

The role involves leading a team to design, develop, and implement AI-driven applications on the ServiceNow platform while managing all aspects of application development and integration with other systems.

Lead the Data Science team, overseeing the development and deployment of ML solutions, managing analytics workflow, and collaborating with cross-functional teams.