Top Machine Learning Jobs in Orlando, FL

Manage a team of ML engineers to build and optimize Affirm's economic decisioning engine using advanced ML techniques. Collaborate across teams, provide technical leadership, and mentor engineers while driving a cohesive long-term ML strategy.

The Advisory Agentic Technologist will be the Subject Matter Expert in identity management, driving technical success and strategy, collaborating on agentic AI innovations, and influencing product development, with a focus on the US, Canada, and Latin America.

The Strategic MSP/MSSP Account Executive will identify and develop partnerships, create strategic plans, and drive revenue growth by engaging with prospective MSP/MSSP partners while collaborating internally to optimize sales strategies and maintain relationships.

Design, develop, train, evaluate, deploy, and monitor scalable AI/ML models using Python or R and big-data tools. Perform data exploration, EDA, feature engineering, model evaluation, fairness reviews, CI/CD pipeline setup, containerized deployments (Kubernetes/Docker), logging/alerting, and communicate results to non-technical stakeholders.

Lead the global engineering strategy for BNY's Fraud Hub, overseeing platforms for fraud detection and prevention, leveraging AI for enhanced security and operational excellence.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

Lead data science initiatives to develop and deploy AI solutions that improve business outcomes. Collaborate with cross-functional teams to analyze data, create models, and evaluate performance.

The Director will lead AI/Machine Learning initiatives, manage a technical team, and drive the implementation of applied AI solutions in software development.

The Director, Decision Science Technology leads the development of AI-powered SaaS applications, overseeing teams in software and data engineering while ensuring collaboration across organizations. Responsibilities include strategic leadership, full-stack architecture, and operational excellence, alongside driving innovation in AI and cloud technologies.

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

The Enterprise Account Executive will manage the complete sales cycle, build relationships with senior leaders, and drive platform adoption within data-intensive organizations.

As a Machine Learning Engineer II, you will enhance AI systems for automating customer operations, develop evidence extraction pipelines, and collaborate with teams on model development and deployment.

Lead the machine learning strategy, design scalable ML systems, drive MLOps, mentor engineers, and comply with AI governance.

The Principal Product Manager will define and drive the strategy for the Computer Vision Platform, managing product requirements and lifecycle while ensuring significant customer impact and adoption of AI-driven solutions.

The Vice President will lead the design and development of AI solutions, mentor engineers, and improve software development processes in the enterprise.

The role involves leading AI/ML initiatives, mentoring a team, and providing technical expertise to enhance software design and build processes.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

The Analytics Lead will leverage data analytics to optimize credit strategies, monitor portfolio performance, and collaborate on credit policy with stakeholders across technical and non-technical teams.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

Lead and coordinate cross-functional engineering programs for deep learning and generative AI software. Plan, forecast, prioritize dependencies, implement agile practices, define metrics, report status to senior leadership, moderate technical discussions, and drive process and release improvements across global, matrixed teams.