Top Senior Machine Learning Jobs in Kansas City, MO

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

Seeking a Senior Data Scientist to develop AI/ML models for predictive maintenance and logistics forecasting, ensuring alignment with mission objectives and collaborating within Agile teams.

The Senior ML Engineer will architect ML infrastructure, deploy models, manage data, ensure MLOps practices, and collaborate on data projects with diverse teams.

As a Senior Fullstack Engineer, you'll architect and build a high-concurrency auction engine, leveraging AI for enhanced user experiences and system reliability.

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 Enterprise Account Executive will drive the sales of Sift's fraud solutions to Fortune 1000 companies, engaging with key stakeholders and building custom strategies to address fraud challenges through value-based selling and collaboration.

Lead and manage a team developing ML models for self-driving vehicles, define motion planning projects, and collaborate with cross-functional teams to enhance performance.

Lead the development of advanced perception algorithms for self-driving vehicles. Collaborate and mentor engineers, optimize algorithms, and implement sensor fusion for robust perception systems.

Lead the development and implementation of machine learning solutions, managing a team to drive strategic decisions and innovative business outcomes.

As a Staff Product Manager for Ads Optimization, you will define strategies for campaign performance, collaborate with engineering and data teams, and present insights to leadership, focusing on optimization and automation.

The Senior Software Engineer will design and optimize recommendation algorithms, maintain data pipelines, and improve personalized user experiences using machine learning techniques and backend engineering skills.

The Data Scientist will analyze data to derive insights, develop personalized client interactions, and create scalable AI solutions while ensuring adherence to regulatory standards.

Design and deploy ML solutions for clinical data, collaborating with cross-functional teams to translate healthcare challenges into scalable systems. Maintain reusable codebases and provide guidance to junior engineers.

This role involves designing, building, and deploying AI systems, especially focused on machine learning and large language models, to solve business problems with a structured evaluation strategy.

The Director of Product, Payor Solutions drives product strategy for CopilotIQ, focusing on developing AI-powered solutions for health payors to enhance care models and patient engagement.

The Sr. Director of Revenue Enablement drives strategic sales transformation, develops enablement programs, integrates AI tools, and leads a team to improve sales outcomes.

Lead the development of generative AI tools for fashion, guiding ML engineers, and implementing innovative AI systems and workflows.

As a Senior Machine Learning Engineer, you will enhance diffusion models, conduct research, collaborate on system implementations, and communicate findings effectively.

As a Senior Machine Learning Engineer, you will architect and build scalable ML infrastructure, influence technical direction, mentor engineers, and ensure effective production deployment, collaborating closely with AI teams.

The AI Innovation Lead will define and drive AI initiatives, lead projects, foster AI adoption, and collaborate with product teams to enhance AI capabilities at Janea.

The Senior Customer Success Manager drives revenue growth by ensuring customer satisfaction, building strong relationships, managing renewals, and promoting product solutions aligned with client goals.

The Senior Data Engineer leads data platform strategy, owns the Snowflake data lake, drives governance and cross-functional data initiatives, and collaborates across teams to enhance data quality and accessibility.

The Principal Product Manager - Growth will lead growth initiatives, focusing on user engagement, retention, and the use of AI to enhance product strategies and experiences.

Lead the integration of AI and digital solutions in manufacturing processes, driving adoption and measurable impact on efficiency, quality, and performance.

The Senior Product Manager will define product strategy, manage SaaS product enhancements, drive innovation in data governance, and collaborate across teams to deliver customer-centric solutions.