Top Machine Learning Jobs in Tampa Bay, FL

Design and build a scalable NG-SIEM Serverless Platform for high-volume data ingestion and processing while ensuring operational excellence and cross-team collaboration.

The Principal Product Manager will direct product strategy for AI-driven clinical data solutions, lead cross-functional teams, and mentor junior managers while ensuring user-centered design.

The Lead Machine Learning Engineer will design and implement ML applications and systems, mentor junior developers, and optimize data pipelines while collaborating with cross-functional teams.

Lead the development of coding operations, manage the coding team, foster customer relationships, and drive product development improvements.

The Senior Director will lead a data science team, drive data-informed decision-making, and create a strong analytical culture within the organization.

As a Senior Data Scientist, you will integrate machine learning algorithms into systems, collaborate with engineering teams, and mentor junior data scientists.

As Lead ML Engineer, you will guide ML/AI engineering teams, drive product innovation, mentor engineers, and set technical goals for Meraki Assurance.

The Senior Product Manager will engage with enterprise customers, understand their needs, and collaborate with teams to enhance product offerings.

The Senior Data Scientist will utilize machine learning and analytics to enhance provider-client matching and other business solutions while collaborating cross-functionally.

As Senior Product Manager for the Machine Learning Platform, you'll drive strategies for data usability and model inference, collaborating across teams to enhance ML workflows and efficiencies.

The Senior Data Scientist will develop and deploy Machine Learning models, collaborate with cross-functional teams, and provide data-driven insights to enhance business outcomes.

As a Lead Software Engineer, you'll develop and maintain payments technology solutions while driving architectural improvements and ensuring operational stability.

The QA Data Engineer ensures data integrity and quality through automated testing frameworks and data validation tools, collaborating with teams to resolve anomalies and optimize data flows.

As a Senior Data Scientist, you will lead the development of data-driven AI/ML solutions for risk and underwriting challenges in commercial insurance, collaborating with cross-functional teams from conceptualization to deployment.

As a Senior Data Scientist, you will optimize auction-based models, collaborate with teams, drive client ROI, and enhance modeling infrastructure.

As a Machine Learning Engineer, you will enhance ML productivity, design algorithms, and collaborate cross-functionally to improve credit underwriting models.

The Applied Scientist will leverage machine learning and statistics to enhance trust and safety on the Thumbtack platform, focusing on fraud detection, marketplace dynamics, and customer matching. Responsibilities include deploying ML models, conducting experiments, and collaborating with cross-functional teams.