Top Machine Learning Jobs in Tampa, FL

Lead the technical vision for personalization at Launch Potato, architecting ML solutions and influencing strategy while mentoring senior engineers.

Lead the technical vision and strategy for personalization at Launch Potato, solving complex ML challenges and mentoring senior engineers.

The Senior Pre-Sale Technical Engagement Manager leads the delivery of Proof of Capability projects, manages pilot implementations, configures solutions, and collaborates with clients to demonstrate Amperity's value.

This position is for candidates who met with our team at the Chicago SACC 2025 event, interested in AI and machine learning roles at Scale AI.

The BSS Solution Architect will define customer solutions, manage end-to-end architecture, ensure implementation integrity, and contribute to sales and project delivery.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

The Manager of RevOps/Yield analyzes patterns and data to optimize ad operations, manage vendor relationships, and oversee a remote team for revenue generation.

The role involves designing and building ML applications, leading teams, and collaborating on data-intensive solutions using various technologies, while ensuring optimal performance and governance of ML systems.

The Senior Manager in ML Engineering will lead design and implementation of ML applications, optimize systems, and collaborate with cross-functional teams for data solutions.

As a Principal Product Manager, you will manage cross-portfolio initiatives, collaborate with Data and Engineering teams, and ensure product alignment with customer needs.

The VP of FP&A will lead Pacvue's FP&A function, partner with CFO, build a high-performing team, and support strategic growth initiatives.

Lead the technical vision for deep learning architecture in therapeutic discovery. Mentor a team and collaborate across functions to implement innovative machine learning models.

The Head of Disputes & AI Operations will lead Casap's dispute strategy, leverage AI to optimize processes, and ensure customer success while overseeing a high-impact team.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.

The VP of Business Development will lead sales growth strategies, manage relationships, and build the BD team to drive significant revenue increases.

The Machine Learning Scientist will develop models and systems for content metadata and discovery at Netflix, collaborating with teams to operationalize AI solutions. The role requires significant experience and collaboration with stakeholders.

As a Machine Learning Engineer, you will develop and operationalize models for content understanding and discovery, collaborating with cross-functional teams and stakeholders to solve impactful problems using machine learning.

The Director of Data Sciences leads a team in strategic initiatives, drives machine learning and AI solutions, and manages resources to enhance data-driven decision making across the business unit.

The role involves researching and prototyping computer vision models, leading ML projects, and collaborating with engineers to implement solutions. You will explore state-of-the-art models using PyTorch and contribute to open-source initiatives.

As an Enterprise Account Executive, you'll manage end-to-end sales cycles, qualify leads, close deals, and collaborate with various teams to drive growth in customer accounts.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

The Principal Engineer will lead technical strategy for ad products, mentor teams, oversee significant engineering projects, and drive innovation in machine learning and advertising technology.

As a Principal Product Manager at Mapbox, you'll drive the navigation strategy by collaborating with engineering and cross-functional teams, analyzing data trends, mentoring staff, and engaging with customers to innovate and execute on product solutions.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

Lead the strategy for community support products, utilizing AI to enhance user experience and scalability globally. Collaborate with teams to create a seamless support platform and assess product performance.