Top Machine Learning Jobs in Tampa Bay, FL

The Payment Lifecycle Associate I processes payments, enhances operations through automation, manages projects, and supports cybersecurity measures and anti-fraud strategies.

As a Senior Lead Software Engineer, you will guide teams, develop secure code, influence product design, and contribute to engineering standards.

As a Senior Lead Software Engineer, you will develop secure technology products, provide technical guidance, and influence product design while enhancing fraud protection solutions.

The Senior Data Scientist will optimize product performance through data analysis, collaborate with teams to provide insights, and support product initiatives.

Lead AI and linguistics teams to develop advanced language technologies, driving innovation and defining the vision for multilingual writing tools.

Lead and manage a team to enhance search relevance through Machine Learning, collaborating across departments and delivering high-quality software solutions.

The Senior Staff Software Engineer will drive infrastructure improvements and build systems to enhance user experience and growth at Coinbase.

Lead AI-driven automation strategies to enhance data management and operational productivity, mentor teams, and analyze data trends for decision-making.

The Principal Product Manager will oversee product backlogs, define requirements, and lead product development, while building stakeholder relationships and driving market innovations.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

The Senior Principal AI Scientist leads AI initiatives, leveraging deep machine learning expertise, collaborating with teams, and driving innovation in Experience Management at Qualtrics.

Develop and implement data services and solutions to support multiple applications, focusing on scalability, availability, and security.

Lead and manage an engineering team to enhance the Sponsored Results platform, focusing on machine learning and full-stack solutions to drive revenue growth and improve client interactions.

Lead AI initiatives at GM, developing comprehensive strategies aligned with business objectives and promoting best practices in a cross-functional environment.

Lead and mentor Detection Engineers to enhance detection library, improve SOC capabilities, and ensure operational stability.

As a Senior Product Manager for Fleet Operations at Samsara, you will develop tools to optimize asset usage, enhance safety, and manage critical incidents by collaborating with engineering and cross-functional teams.

Lead and grow a team of engineers to build innovative software and hardware solutions, driving strategic vision and leveraging AI technologies.

As an Experienced Software Engineer, you'll design and develop scalable systems using Java or Python, execute solutions, maintain code, and contribute to architecture artifacts within an agile team.

Lead a team of Data Scientists and Machine Learning Engineers to develop ML models, drive product strategy and enhance data infrastructure.

Lead the collection and analysis of cyber threat intelligence, focusing on the cybercriminal underground. Collaborate with stakeholders to drive projects, employing secure operational methods.

The Senior Product Manager will develop risk management strategies, build scalable solutions, manage product roadmaps, and ensure compliance with financial regulations, while leading cross-functional teams.

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.

As an AI Integration Engineer, you will integrate AI models into products, collaborate with data science teams, and enhance user experience.

The Engineering Manager, Applied AI will lead and mentor a team focused on generative AI products, oversee project development, and collaborate with cross-functional teams to drive software development best practices.

Lead AI initiatives and governance, enhance AI capabilities, and develop internal training programs while collaborating across teams.