Top Remote Machine Learning Jobs in Tampa Bay, FL

As a Staff Machine Learning Engineer, you'll define technical strategies, design ML models, implement real-time ML pipelines, and deploy systems at scale to enhance Coinbase's operations and user protection.

Lead machine learning initiatives at Vetcove, designing, building, and deploying ML models to improve decision-making in veterinary practices. Collaborate with teams to integrate models and establish best practices, while mentoring peers and enhancing real-world outcomes.

The Growth ML & Experimentation Engineer will design adaptive growth systems for an AI employee, implement automated experimentation, and optimize performance through data-driven methods.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

As a Summer 2026 Intern in Biostatistics, you'll develop deep reinforcement learning models for dose optimization, conduct simulation studies, and collaborate with experts to evaluate clinical relevance and methodologies.

As a Machine Learning Engineer, you'll evaluate neural network quality, coordinate with researchers, manage experiments, and report results to streamline AI software development.

Manage a team of data scientists and analysts designing ML solutions for risk assessment, enhancing operational readiness, and ensuring reliability of data sources.

This role involves deploying and optimizing machine learning models for autonomous vehicle motion planning, ensuring performance and reliability in production settings.

Develop and implement ML models that address customer data analysis needs, working collaboratively with Oden's teams and customers to drive solutions.

Interns will develop AI solutions, consult on data architecture, and gain experience with cloud platforms and machine learning.