Top Machine Learning Jobs in Chicago, IL

As a Senior Engineer, you will develop high-impact solutions utilizing machine learning to optimize logistics and network operations at Uber Freight, focusing on deploying scalable models and integrating Generative AI applications.

The Senior Director of Data Science manages a team to analyze data and solve business problems using advanced mathematical and statistical models while providing strategic direction to the business.

Lead the technical direction of DeepWalk's computer vision platform, enhancing ML systems and data pipelines for sidewalk inspection.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The Senior Director of Risk Data Science will lead a large team of data scientists to develop advanced fraud prevention measures using AI and machine learning. This role is responsible for setting strategic vision, deploying ML models, and ensuring their performance in a high-stakes environment.

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

The Senior Machine Learning Operations Engineer is responsible for designing, building, and maintaining scalable ML systems and infrastructure while mentoring junior engineers and leading project initiatives.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.

Lead AI project management efforts, focusing on data-driven initiatives, fostering relationships, evaluating problems, and ensuring project success while monitoring AI trends.

Lead the design and implementation of data science solutions, leveraging machine learning and AI to drive business outcomes, while mentoring and guiding a team of data scientists.

The Principal Data Scientist develops predictive models, designs large-scale data pipelines, and collaborates to enhance data-driven decision-making using advanced analytical algorithms.

Lead the design and delivery of scalable voice and chat solutions using Amazon Connect, focusing on integrations, reliability, and performance optimization.

As Lead Data Scientist, you will develop machine learning and generative AI solutions for financial planning and strategic decision-making, mentor team members, and engage with finance leadership.

As the Lead AI Strategist, design and deploy advanced AI/ML models to optimize revenue and mitigate medical costs, impacting financial performance directly.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

The role involves researching, developing, and implementing AI solutions, optimizing models, integrating AI into workflows, and collaborating with teams to enhance business efficiency.

Manage the development and implementation of Evio Compass, an analytic product identifying patient risks, while guiding cross-functional teams to drive customer success and enhance ML/AI product features.

The role involves leading data science projects to develop risk models and fraud prevention strategies. Responsibilities include analyzing data, collaborating with teams, ensuring data quality, and mentoring junior scientists.

Lead the engineering team for Upwork's Search & Recommendations platform by driving technical strategy, modernizing infrastructure, and ensuring high-performance systems.

The role involves building, deploying, and maintaining ML infrastructure, optimizing systems, and ensuring production reliability while collaborating with data scientists and product teams.

The job posting invites candidates from the DC SACC 2026 to connect about potential AI and machine learning roles at Scale AI, emphasizing their mission in developing reliable AI systems for impactful decisions.

As a Machine Learning Engineer, you'll design, build, and maintain models to detect security threats, ensuring model efficiency and aligning initiatives with business goals.

The AI/Machine Learning Specialist designs and implements AI solutions, collaborates with cross-functional teams, and continuously improves ML processes.

As a Senior Staff Data Scientist/Machine Learning Engineer, you will develop machine learning models to enhance Autodesk's eCommerce platforms, drive data-informed decisions, and mentor junior team members.

The Principal Software Engineer will develop AI-powered audit solutions, leading projects in document intelligence and collaborating closely with teams to deliver innovative features.