Top Machine Learning Jobs in Milwaukee, WI

Lead initiatives in designing and building large-scale distributed data systems and ML infrastructure, while collaborating across various engineering teams.

Lead product strategy and execution for enterprise engagements at Invisible. Mentor product managers, shape client solutions, and ensure delivery aligned with business value.

The Senior Scientist will design small molecules using computational tools, lead projects, manage external teams, and collaborate with machine learning and medicinal chemistry teams.

The Director of Product Management will lead a team to manage CAMP's Aircraft Health Management platform, driving product strategy, modernization, and execution with a focus on customer outcomes and market innovation.

Lead the Product Safety team in developing safety strategies for autonomous vehicle technology. Oversee safety standards, mentor engineers, and ensure compliance with ISO standards, focusing on safe system development and deployment.

The Solutions Engineer will provide technical support for customers, ensure satisfaction, communicate with sales, and analyze customer needs for product enhancements.

As the Engineering Lead, you will guide product strategy, manage and mentor engineers, and ensure successful execution in product areas, focusing on machine learning and technical expertise across teams.

The Product Manager will lead product development, working with cross-functional teams, driving growth, and creating user experience frameworks.

As a Senior Backend Engineer, you will design and develop software solutions for identity verification, mentor junior engineers, and ensure system scalability, security, and high performance.

Develop and deliver AI-driven observability features, collaborate with cross-functional teams, and iterate rapidly to enhance user incident response capabilities.

Lead product strategy for data and AI solutions, drive analytics, manage integrations, and improve decision-making in health-tech.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

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.

The Global Head of Solutions Engineering leads a team, ensuring technical excellence and customer success in pre-sales and onboarding while driving team development and cross-functional partnerships.

As a Principal Data Analyst, you'll leverage machine learning and AI to improve outcomes, manage large data sets, and guide analytics modelers for effective data solutions.

The role involves cultivating technical relationships with Accenture, supporting solution development, customer deal support, and representing Databricks at events.

As a Machine Learning Engineer in Computer Vision, you'll develop AI solutions using advanced algorithms, focusing on image classification, segmentation, and video processing tools.

The Implementation Manager ensures successful implementation of UVeye's scanning systems for dealership partners, managing project timelines, resources, and client communication throughout the onboarding process.

The Head of AI will oversee the AI product roadmap, internal AI integration, and team development while ensuring AI enhances product and operational efficiency across Stord.

As the Director of Product Marketing for Databricks AI, you will lead the marketing strategy for AI products, collaborate with teams to create effective campaigns and product launches, and increase global outreach through partnerships.

The Data Scientist will build machine learning models to enhance claim audits, optimize performance, and improve healthcare decision-making by analyzing complex data sets.

As VP of Engineering, you'll lead the application engineering strategy and team, integrating AI capabilities into products while ensuring quality and execution across backend, mobile, and desktop platforms.

Lead the development of production-grade machine learning systems, build ML pipelines, and optimize models for deployment and performance.

The role involves designing and prototyping advanced AI reasoning systems for real estate, focusing on LLM-powered applications while mentoring junior scientists.