Top Remote Machine Learning Jobs in Tampa, FL

The Technical Sales Enablement Manager will design and deliver programs for Solutions Architects and sellers to improve technical competency and sales effectiveness in a fast-paced environment.

The Director will lead Macmillan's corporate social media and community growth strategy, enhancing engagement and driving measurable growth across digital platforms through strategic content and analytics.

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 design, development, and deployment of scalable machine learning and AI systems for enterprise clients, guiding architecture and mentoring engineers.

The Customer Success Manager will drive user adoption and value realization for ISP customers, manage onboarding and retention, and collaborate cross-functionally to enhance customer satisfaction and business growth.

Lead the design and optimization of programmatic bidding systems, collaborating with engineers and applying analytical methodologies to enhance performance.

Lead technical pre-sales engagements, design tailored solutions, demonstrate platform capabilities, assess customer needs, and expand relationships within life sciences and health technology.

The Senior Manager of Data Insights will lead a team to optimize data sharing and governance, develop data strategies, and deliver actionable business intelligence across Docker's operations.

The DS&ML Group Product Manager oversees Data Science and Machine Learning capabilities, defining strategic vision, managing product portfolios, and ensuring delivery aligned with business needs. Responsibilities include developing roadmaps, executing models, scaling functionalities, and mentoring a team.

As a Senior Data Scientist, you will enhance content integrity and trust at Airbnb, utilizing AI and ML for analyzing and understanding user-generated content. Responsibilities include building NLP models, optimizing ML systems, engaging in product collaboration, and data storytelling.

The Staff SW Engineer, Machine Learning will design, implement, and research machine learning solutions for satellite imagery analytics, focusing on computer vision and integrating with remote ML systems.

The DevOps Engineer will design, build, and optimize ML and data infrastructure on GCP, mentor a team, and ensure system reliability and performance.

The Lead Machine Learning Scientist will develop and implement ML strategies to enhance marketing and product capabilities, identify opportunities for growth using data, lead core model development, and improve marketing spend efficiency through insights and experimentation.

The role involves improving recommendation systems using machine learning, developing end-to-end ML systems, and collaborating with engineers.

As the Engineering Manager, you'll lead technical initiatives in reporting and fraud prevention, build high-performing teams, and influence product strategy.

The role involves leading strategic AI partnerships, driving revenue growth, and managing cross-functional teams while advocating for AI initiatives internally and externally.

The Senior Learning Consultant will analyze client needs, translate workflows into training documentation, facilitate workshops, and ensure effective training design for system implementation.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

The Director of AI & Automation will strategize and implement AI, automation, and machine learning initiatives, improving operational efficiency and user experiences.

The Director of Customer Engineering will lead a team to drive the adoption of Elastic's solutions in observability, cybersecurity, and search AI while ensuring customer satisfaction and team collaboration.

The Vice President of Customer Success leads customer value initiatives, oversees onboarding and adoption of services, manages account strategies, and collaborates across departments to enhance customer experience and retention.

Lead the development of agentic AI systems for real estate, focusing on long-horizon, supervised experiences. Architect collaborative systems and define success metrics while mentoring a small team.

Lead the design and deployment of RL post-training systems, aligning model behavior with user value and business objectives, while mentoring applied scientists and engineers.

As a Principal Machine Learning Engineer, you will develop multimodal AI experiences, design agent interactions, and lead cross-team initiatives while ensuring AI safety and reliability.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.