Top Machine Learning Jobs in Kansas City, MO

Applied Scientists at wealth.com will develop AI models and tools using state-of-the-art LLMs and CV technologies to enhance legal and financial applications. They will work collaboratively with engineers, finetuning models, building data pipelines, and ensuring high AI quality in production systems.

The ML Ops Engineer will set up and support ML bot inference in live environments, implement CI/CD for ML solutions, and enhance ML inference logic.

As a Machine Learning Engineer, you'll develop and deploy machine learning solutions, optimize models for cloud and embedded systems, and implement scalable training procedures while collaborating with other engineers and data scientists.

The Lead Machine Learning Engineer will oversee the development and maintenance of machine learning models, ensuring performance and scalability while mentoring team members and collaborating with various departments.

The Applied Scientist will develop and integrate AI models in financial tech, focusing on NLP and CV applications, and lead projects to improve AI solutions.

Design and implement scalable infrastructure for AI deployment, focusing on distributed systems and optimizing cloud resources and workflows.

The Senior Machine Learning Engineer will develop and optimize ML models for recommendation systems, analyze data for insights, and collaborate with various teams to drive AI innovations.

As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning applications, collaborating with various teams to create innovative solutions for mortgage loan recommendations.

The Staff Machine Learning Engineer will design and implement ML systems for ads targeting, leading projects, driving technical direction, and mentoring junior engineers.

Lead the design and architecture of GNN and transformers for multi-entity embeddings. Oversee development of scalable graph-based ML pipelines for recommendation systems at Reddit.

The Machine Learning Engineer will develop ML products, manage unstructured data solutions, and collaborate on software strategy in a remote environment.

The role involves developing and deploying machine learning systems, optimizing data pipelines, and collaborating with teams to enhance product functionality.

Lead the Behaviors team in developing ML models for autonomous vehicles, manage engineers, and implement behavior models for safe navigation.

Join GE Healthcare as an AI/ML intern to develop deep learning products, analyze medical data, and improve healthcare solutions through innovative AI applications.

As Vice President of Data Science/Machine Learning, you will lead teams in data analysis, modeling, and visualization, tackling high-impact challenges for clients.

The Data Science/Machine Learning Director will lead machine learning projects, design ETL workflows, and analyze complex data for distressed companies. Responsibilities include data modeling, manipulation, visualization, and collaborating with C-level executives to drive impact.

As a Senior Vice President, you will lead machine learning projects, build ETL workflows, perform data analysis, and create data visualizations. You will collaborate with teams to enhance data processing and deliver impactful insights to clients.