Top Machine Learning Jobs in Orlando, FL

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

The Senior Data Scientist will drive product innovation through experimentation and robust measurement strategies in Netflix Games, collaborating with Product and Engineering teams to enhance user experience.

Lead and mentor ML and Software Engineers in building scalable AI systems, drive technical strategy, and foster collaboration across teams.

As a Solutions Engineer, you will drive sales growth, establish client partnerships, and provide technical support for automation solutions in the supply chain industry.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

The role focuses on delivering business intelligence and analytics solutions through advanced data processing, machine learning, and automation to support government missions.

This role involves providing cybersecurity services to government clients, focusing on system security engineering, data protection, and cloud security.

OneSix is seeking motivated professionals for future opportunities in data and AI consultancy. Interested candidates should submit their resumes to stay in touch.

Lead the Connected Data team at MaintainX, driving the roadmap for machine data connectivity from various sources, collaborating with AI/ML and engineering teams, and ensuring effective product solutions and user value realization.

Lead product strategies for Moloco Ads, focusing on mobile app publishers. Identify growth opportunities, manage a large engineering team, and drive product development with an analytical approach.

Lead the data science strategy, mentor a team of data scientists, oversee AI model deployment, and ensure measurable business impact.

The Staff Fullstack Engineer will drive technical excellence and innovation, focusing on AI-driven talent matching, mentor engineers, and collaborate across teams to shape technical strategy.

As a Customer AI Engineer, you'll develop prompts and applications, collaborate with teams to meet customer needs, and document processes while utilizing linguistic expertise.

The Customer AI engineer develops prompts and applications for customers, ensuring content meets specific requirements by utilizing programming, linguistic skills, and collaboration with teams.

Design and scale systems for personalization and ranking using ML. Mentor engineers and lead initiatives in a consumer-focused environment, leveraging AI tools.

The Vice President of Engineering will lead TraceGains' technology organization, overseeing R&D teams, product roadmaps, innovation culture, and cloud technology implementation.

As an AI Tutor - Python, you'll review AI-generated Python code, write solutions, and provide explanations to enhance AI model training.

The AI Solution Sales Specialist will drive sales of AI solutions, collaborate with teams to ensure customer adoption, and manage complex sales cycles.

The Senior Applied AI Engineer will design and optimize AI models, lead experimentation and evaluation strategies, and collaborate across teams to enhance system performance.

The Senior Machine Learning Platform Engineer will enhance ML capabilities by optimizing streaming pipelines, mentoring junior engineers, and building tools for model performance analysis.

As a Research Scientist, work on connecting theoretical models with experiments in condensed matter theory, collaborating with scientists and engineers.

The Senior Director, IT Strategy leads the execution of IT and digital strategy, focusing on governance, financial performance, and transformation initiatives while fostering innovation in AI and technology.

As Senior Director of Product Management, you will guide the vision and delivery of DealCloud for Legal, enhancing its applications for law firms by collaborating with stakeholders and leading a product development team.

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