Top Remote Machine Learning Jobs in Peoria, IL

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 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 Customer Success Manager, you will manage customer relationships, ensure they achieve their goals with ReflexAI, and collaborate with cross-functional teams.

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

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

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

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

Lead a team of ML and DevOps engineers to build infrastructure for the ML ecosystem, including tools for experimentation and deployment. Manage a distributed team while enhancing capabilities in ML system operation and analytics production.

The role involves driving data governance strategy and practices across the Bank, collaborating with cross-functional teams, leading data quality initiatives, and mentoring analysts while ensuring compliance with data governance standards and improving data quality.

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.

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 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 Product Marketing Manager will define the story and strategies for Agentic AI, creating messaging, programs, and materials to drive adoption and market engagement.

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

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

Design, build, and own automation systems that enhance Valimail's go-to-market strategies. Collaborate cross-functionally to implement data-driven workflows and improve revenue outcomes.

The Research Scientist will conduct studies on natural language processing and machine learning, transition models to production, conduct experiments, publish research, and create new models to enhance products.

Lead AI development at Bloomerang, overseeing product strategy, managing teams, ensuring ethical AI practices, and integrating innovative AI solutions for nonprofits.

As a Senior Data Scientist at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

The Senior Responsible AI Data Scientist will lead ethical AI initiatives, ensuring compliance and transparency while working cross-functionally to develop scalable AI solutions in healthcare.

The VP Analyst will conduct in-depth research on AI technologies in Cloud IT services, develop market insights, engage clients, and contribute to thought leadership.