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Machine Learning Manager Jobs in Illinois (NOW HIRING)

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the ... Develop large-scale distributed training pipelines to manage datasets and complex models * Build ...

Machine Learning Engineer

Chicago, IL ยท On-site

$175K - $250K/yr

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the ... Develop large-scale distributed training pipelines to manage datasets and complex models * Build ...

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... This job will validate and develop machine learning models and algorithms to solve complex problems.

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... This job will validate and develop machine learning models and algorithms to solve complex problems.

Design and deploy machine learning models to enhance trading performance across various asset ... Manage data acquisition, preprocessing, and feature engineering for structured and unstructured ...

Machine Learning Researcher

Chicago, IL ยท On-site

$250K - $300K/yr

Design and deploy machine learning models to enhance trading performance across various asset ... Manage data acquisition, preprocessing, and feature engineering for structured and unstructured ...

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Machine Learning Manager information

See Illinois salary details

$49.4K

$79.2K

$114.3K

How much do machine learning manager jobs pay per year?

As of Jul 2, 2026, the average yearly pay for machine learning manager in Illinois is $79,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $89,600.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Illinois? The most popular types of Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Machine Learning Manager jobs? Cities in Illinois with the most Machine Learning Manager job openings:
Machine Learning Manager/eCommerce/Hybrid/Chicago LOCAL

Machine Learning Manager/eCommerce/Hybrid/Chicago LOCAL

Motion Recruitment

Chicago, IL โ€ข On-site

Full-time

Medical, Dental, Vision, PTO

Posted 29 days ago


Job description

Our client in the industrial distribution space is hiring for a full time Machine Learning Manager in the Chicago area. This organization is a large, well established global distributor that quietly powers millions of businesses every day through technology, logistics, and data. *This role is hybrid in downtown Chicago a few times a month*
Our client is looking for a leader who combines genuine technical depth with the vision to build and scale a world class ML team. Youโ€™ll own the end-to-end relationship with business partners translating complex challenges into production ready ML solutions across classification, NLP, deep learning, time series forecasting, and optimization while also shaping the culture, roadmap, and infrastructure your team works within. This is not a role for someone who just manages; youโ€™ll still be hands on with model design, MLOps practices, and emerging AI research. If youโ€™re energized by driving real business impact through applied ML at significant scale, this is a career defining opportunity for you.
Required Skills & Experience
  • BS, MS or PhD in Mathematics, Data Science, Applied Analytics, Operations Research, Computer Science, or Engineering
  • 5+ years of hands-on experience delivering production-grade machine learning solutions at scale
  • Previous experience leading, mentoring, and developing a high-performing ML/AI team
  • Advanced proficiency in Python and SQL; hands-on experience with ML frameworks such as scikit-learn, PyTorch, and TensorFlow
  • Solid understanding of MLOps practices including MLflow, model registry, drift monitoring, and hyperparameter optimization
  • Proven ability to apply deep learning and transformer-based modeling methods in production; familiarity with LLMs, diffusion models, or generative AI
  • Excellent communication skills โ€” able to convey technical concepts clearly to both technical and business audiences, including executives
Desired Skills & Experience
  • Familiarity with containerization, CI/CD, and version control (Kubernetes, Docker, Git)
  • Experience building interactive, model-driven applications using React, Streamlit, or similar frameworks
  • Experience with databases at scale including Teradata, Snowflake, and S3
  • Background in optimization, simulation, or decision-science techniques to complement predictive modeling
  • Proven ability to lead cross-functional collaborations and influence both technical and business stakeholders
What You Will Be Doing
Tech Breakdown
  • 50% Python and SQL
  • 50% Machine learning frameworks
Daily Responsibilities
  • 50% Hands On
  • 50% Management Duties

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.