Top Machine Learning Jobs in Tampa, FL

The Senior Product Manager will lead the pricing and valuation engine, overseeing ML modeling, pricing systems, and improving valuation accuracy while managing cross-functional roadmaps and execution.

This role leads the ML Acceleration team, focusing on enhancing ML model training efficiency and team management, while driving technical strategy and collaboration.

Lead Yahoo's Data Activation product area: define vision and strategy, partner with Data Science and Engineering, drive cross-vertical data activation initiatives, deliver measurable business impact, and mentor/manage product teams to execute on audience, personalization, and targeting use cases.

The Director of Product will lead the Insurance Vertical, developing AI-driven data products for insurers, focusing on risk intelligence and fraud detection.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

The role focuses on leading editorial efforts to define industry narratives around energy infrastructure, translating regulatory changes into strategic content for executives, and influencing sales and positioning through high-impact communications.

The Head of GTM Narrative will lead strategic storytelling about risk and resilience in energy infrastructure, creating high-impact content and engaging senior executives to drive Neara's authority in the market.

Manage the day-to-day operations of Cority's AI platform, driving delivery, prioritizing the roadmap, and coordinating with stakeholders to ensure alignment and quality in an agile environment.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

The Principal Architect will lead AI/ML solutions, mentor teams, and collaborate with clients to design and deliver scalable systems using Google Cloud technologies, ensuring compliance with ethical standards.

Join Wasabi as an AI Engineer intern to build scalable machine learning solutions. Responsibilities include maintaining ML pipelines, model integration, and collaboration with various teams to drive AI initiatives.

The Engineering Manager will lead a team of Data Scientists and ML Engineers to build a Dispatch Optimization platform, focusing on model deployment and operational excellence.

The Strategic Account Executive will manage sales strategies, build customer relationships, lead account planning, and drive business outcomes in enterprise software sales, specifically targeting Fortune 500 accounts.

The Head of Account Management will lead a high-performance team and manage key enterprise accounts, focusing on client outcomes, revenue growth, and operational efficiency in fraud prevention and compliance.

The Senior Data Scientist will analyze manufacturing data to improve quality and optimize processes through advanced analytics, with a focus on driving cost and waste reduction.

As an Account Development Representative, you'll enable sales through GTM research and initiatives, qualifying leads, generating pipeline, and refining GTM strategies to improve customer engagement and sales efficacy.

The Senior Software Engineer will design, develop, and integrate tools for CNO development, collaborating with stakeholders to deliver solutions and support operational tools involving AI technologies.

Lead the ML and AI engineering team, strategizing and implementing AI solutions for business growth, mentoring staff, and collaborating across departments.

The AI Executive Partner will advise C-Suite executives on leveraging AI to drive business outcomes, manage member relationships, and deliver innovative AI solutions.

The Principal Solution Consultant serves as an expert in CLM software, aligning solutions with customer outcomes, leading POCs, and leveraging AI tools in presales strategies.

Lead the design and analysis of experiments, develop ML models to improve player experiences, and effectively communicate insights to stakeholders.

The Senior Vice President, Data Science & Analytics will lead analytics and data science functions, drive innovation, implement AI, and oversee data strategies across financial services.

The Product Marketing Manager will develop go-to-market strategies, create compelling messaging, perform market research, and collaborate with product and sales teams to position Oscilar's AI risk platform effectively.

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

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.