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Machine Learning Manager Jobs in Chicago, IL (NOW HIRING)

Machine Learning Engineer

Chicago, IL · On-site

$96 - $139/hr

Machine Learning Engineer (14907) At Moody's, we unite the brightest minds to turn today's risks ... Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a ...

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

The Machine Learning Researcher should be interested in Financial Markets, and will be directly ... Familiarity with Docker initialization and environment management. What We Have To Offer Flexible ...

Partner with risk management and compliance teams to ensure adherence to regulatory and ethical ... Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression ...

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

Manage data acquisition, preprocessing, and feature engineering for structured and unstructured ... machine learning, and engineering shape how modern markets are traded. A stabilizing force in ...

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Machine Learning Manager information

See Chicago, IL salary details

$52.5K

$84.2K

$121.6K

How much do machine learning manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for machine learning manager in Chicago, IL is $84,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $95,300.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

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 key skills and qualifications needed to thrive as a machine learning manager?

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.

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.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the most commonly searched types of Machine Learning jobs in Chicago, IL?

The most popular types of Machine Learning jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Machine Learning Manager jobs?

Cities near Chicago, IL with the most Machine Learning Manager job openings:

Infographic showing various Machine Learning Manager job openings in Chicago, IL as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, 1% Contract, and 1% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $84,172 per year, or $40.5 per hour.

Artificial Intelligence and Machine Learning Manager

RT Specialty, LLC

Chicago, IL • On-site

$140 - $175/hr

Other

PTO

Posted 5 days ago


RT Specialty rating

8.8

Company rating: 8.8 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

58th of 315 rated insurance


Job description

RT Specialty, a division of Ryan Specialty, is a leading wholesale distributor of specialty insurance products and services. Our experienced brokers are specialized in property, casualty, professional lines, transportation and workers’ compensation, providing creative solutions to retail brokerage firms. We define ourselves through our superior execution on behalf of our clients, which has established us as a leader in the industry.

Position Summary

The Artificial Intelligence and Machine Learning Manager is responsible creating and deploying state-of-the-art machine learning models and algorithms for search. You will work closely with the Ryan Specialty AI leadership team to define and execute the vision and strategy for AI modeling training and evaluation, as well as the cutting-edge machine learning algorithms development. You will also collaborate with the AI platform team, federated product teams, and other stakeholders to provide the modeling, framework, and prompt engineering support for the federated product teams to accelerate the AI feature development across the board.

What will your job entail?Job Responsibilities
  • Lead staff members through service delivery transformation and develop AI support models.
  • Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring.
  • Derive metrics to demonstrate and measure delivery improvement and fiscal responsibility.
  • Direct the overall deployment and activities of their staff and facilitate the resolution of situations brought to their attention that impact the cost, schedule or technical parameters of projects and key efforts.
  • Manages all deliverables and obligations related to AI application operation; application maintenance and support; and application release management for assigned application portfolio.
  • Lead the development of road maps for key applications to ensure application resiliency and provide added business value.
  • Evaluation of root cause technical solutions proposed by the supplier; striving for elimination of technical debt.
  • Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation.
Work Experience and Education
  • B.S. in Computer Science or equivalent, MS preferred.
  • 6+ Experience building and scaling machine learning models in business applications using large amounts of data.
  • 3+ Experience leading an Artificial Intelligence/Machine Learning (AI/ML) centric team and driving metrics-based experience improvements preferred.
  • Experience using Programming Language such as Python, Java, C++ or SQL a plus.
Licenses & Certifications
  • N/A
Technical/Functional Skills
  • Technical Acumen
  • Project Management
  • Negotiation
  • Management
  • Data Modeling
  • Machine Learning Framework
  • Artificial Intelligence
  • Statistical Analysis
  • Root Cause Analysis
Behavioral Skills
  • Interpersonal
  • Organizational
  • Presentation
  • Build Relationships
Equal Opportunity Employer

Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment.

How We Support Our Teammates

Ryan Specialty seeks to offer our employees a comprehensive and best-in-class benefits package that helps them — and their family members — achieve their physical, financial, and emotional well-being goals. In addition to paid time off for company holidays, vacation, sick and personal days, Ryan offers paid parental leave, mental health services and more.

The target salary range for this position is $140,000.00 - $175,000.00 annually. The wage range for this role considers many factors, such as training, transferable skills, work experience, licensure and certification, business needs, and market demands. The pay range is subject to change and may be modified in the future. Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty Total Rewards, visit our website https://benefits.ryansg.com/.

We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation at HR@Ryansg.com. The above is intended to describe this job's general requirements. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

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