Top Machine Learning Jobs in St. Louis, MO

As a Senior Machine Learning Engineer, you'll develop models for risk identification, collaborate cross-functionally, and deploy ML solutions, ensuring performance monitoring and continuous improvement.

Lead the vision, strategy, and execution of the machine learning platform at Flex, focusing on compliance, customer success, and internal operations. Build and mentor a team of ML engineers and data scientists to deliver scalable ML systems.

The Business Analyst 2 analyzes AI-powered data solutions, optimizes customer experience automation, and collaborates with teams to drive business insights and value.

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.

The Engagement Principal is responsible for the deployment of Aera solutions, managing client relationships, project delivery, and contributing to sales cycles, ensuring successful implementation and value delivery.

The Marketing Manager will lead strategic campaigns, manage content, collaborate with teams, analyze performance, and stay ahead of industry trends to drive brand awareness and customer engagement.

Lead a team to develop groundbreaking technology combining NLP, big data, and AI to enhance digital communication and interaction.

The GTM role focuses on increasing revenue through new sales and partnerships, understanding client needs, and communicating product value.

As an ML Solutions Architect, design, implement, and lead machine learning solutions for Conversation AI, collaborating with cross-functional teams to address complex business challenges.

The AI Strategist leads AI initiative ideation and planning, collaborates across departments to define use cases, and ensures alignment with strategic and regulatory goals.

The Director of Product Engineering leads the product engineering organization, overseeing technical direction, talent management, engineering excellence, and collaboration across teams to deliver secure, reliable digital products.

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

As a Senior Solution Consultant, you'll advise clients on identity verification solutions, lead technical workshops, and collaborate with sales and engineering teams to ensure client satisfaction and product alignment.

The Senior Manager of Credit Risk Analytics oversees credit strategies and risk management for Personal Loan portfolios, ensuring compliance, optimizing performance using ML, and collaborating cross-functionally to enhance business growth and minimize credit losses.

The Director of Adversary Engineering will define strategies for log management and security automation, lead the development of automated workflows, and optimize security systems using AI/ML techniques.

Lead a team to advance performance marketing through machine learning and data-driven strategies, optimizing budget allocation and measuring impact.

The VP of Product will lead the strategic vision and execution of the Sensei DPMS, managing a $100M product portfolio while driving digital transformation to cloud environments.

Develop and deploy end-to-end machine learning solutions, collaborate with cross-functional teams, and implement MLOps frameworks while monitoring model performance in production.

The role involves delivering technical solutions, integrating AI/ML models, developing software, and mentoring junior engineers while ensuring customer satisfaction through engagement and solution design.

The Machine Learning Manager leads a team in designing and deploying ML systems with a focus on computer vision and deep learning, ensuring project delivery and ethical AI compliance.

Design and build ML infrastructure components for autonomous vehicles, ensuring scalability and robustness for high-volume data processing and model training.

The Senior Machine Learning Consultant designs and develops machine learning solutions while mentoring team members and collaborating with clients. Responsibilities include conducting R&D on AI/ML models, optimizing model performance, and ensuring adherence to ethical AI practices.

The AI/Machine Learning Engineer will develop systems for automating health benefits decisions, integrating large language models with rule-driven patterns, and ensuring compliance with regulations.

As the Director of AI & Machine Learning, you will lead data projects, enhance corporate performance, and analyze complex data to drive business improvements and client engagements.

As a Senior Vice President at AlixPartners, you will lead complex projects focusing on performance improvement, data analysis, and machine learning applications to enhance business outcomes.