Which cities near Chicago, IL have the most machine learning engineer job openings?

The cities near Chicago, IL that boast the highest number of machine learning engineer jobs are: Rockford Naperville Joliet Milwaukee Elgin South Bend

Which cities near Chicago, IL have the most job openings?

The 10 cities near Chicago, IL that have the most job openings are: Rockford Naperville Joliet Aurora Milwaukee Elgin South Bend Kenosha Waukegan Cicero

What are the most popular job searches in Chicago, IL?

The 10 most popular job searches in Chicago, IL are: city amazon work from home amazon warehouse warehouse security volunteer online construction government

What are the highest-paying jobs in Chicago, IL?

The highest-paying jobs are: vascular surgeon ( from $ 325,000 to $ 525,000 year ) private banker ( from $ 54,250 to $ 500,000 year ) orthopedic surgeon ( from $ 43,750 to $ 437,500 year ) dermatologist ( from $ 50,000 to $ 437,500 year ) interventional radiologist ( from $ 108,144 to $ 431,853 year ) diagnostic radiologist ( from $ 24,000 to $ 418,650 year ) emergency medicine physician ( from $ 49,482 to $ 395,500 year ) surgeon ( from $ 40,000 to $ 385,000 year ) human resource consultant ( from $ 92,500 to $ 375,000 year ) human resources consultant ( from $ 92,500 to $ 375,000 year )

Which cities in the United States of America offer the highest salaries for machine learning engineer jobs?

The top 10 cities are: Lansing, MI ( from $ 114,400 to $ 241,000 year ) Cedar Rapids, IA ( from $ 131,250 to $ 240,706 year ) Grand Rapids, MI ( from $ 133,750 to $ 240,706 year ) Kent, WA ( from $ 109,500 to $ 238,773 year ) Simi Valley, CA ( from $ 145,000 to $ 235,450 year ) Spokane Valley, WA ( from $ 145,000 to $ 235,450 year ) Sunnyvale, CA ( from $ 154,550 to $ 230,000 year ) Bellevue, WA ( from $ 140,000 to $ 229,250 year ) Wichita Falls, TX ( from $ 159,200 to $ 226,625 year ) Austin, TX ( from $ 144,900 to $ 225,000 year )

Machine learning engineer Jobs in Chicago, IL

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Machine learning engineer • chicago il

Last updated: 10 hours ago

Machine Learning Engineer

ProsumREMOTE PST, CA, US

$75.00 hourly

Remote

Permanent

Quick Apply

We are seeking a skilled Machine Learning Engineer (MLOps) to support the full lifecycle of machine learning models, including design, development, deployment, and maintenance.This role focuses on ... Show more

Machine Learning Engineer

Ontrac SolutionsChicago, Illinois, United States

Full-time

This role is ideal for junior-to-mid-level engineers with strong.Google Cloud Platform experience.The selected engineers will work under the direct guidance of a.MLOps execution, pipeline maintenan... Show more

Machine Software Engineer

Sciaky Inc.Chicago, IL, US

Full-time

Quick Apply

Established in 1939, Sciaky, Inc.Our wide selection of electron beam welders, electron beam additive manufacturing (EBAM ® ) solutions and advanced arc welders makes us the most versatile weld... Show more

Senior Machine Learning Engineer (LLMs)

AlbiChicago, IL, US

Full-time

Quick Apply

We’re building deeply integrated LLMs into a real product used daily by restoration companies running thousands of jobs.This is not a “prompt engineer” role.You’ll design, train, and ship domain-sp... Show more

Business Operations Manager - Machine Learning and AI

ChaseChicago, IL, United States

Full-time

Vice President, Machine Learning & Intelligence Operations.As a Vice President, you will lead strategic initiatives that drive innovation and operational excellence.This is an opportunity to work w... Show more

Fullstack Software Engineer / AI / Machine Learning

Motion RecruitmentChicago, Illinois, United States

Full-time +1

A Chicago-based investment firm is hiring a full-time Software Engineer to join an internal engineering group that works directly inside high-growth technology companies.This role focuses on buildi... Show more

Technical Product Manager - Machine Learning Platform

Grainger BusinessesCHICAGO, IL, US

Full-time

At Grainger, We Keep the World Working® by serving more than 4.MRO) products and value-added solutions delivered through innovative technology and deep customer expertise.Known for its commitment t... Show more

Engineer II, Machine Learning Ops CBM Lab

Shirley Ryan AbilityLabChicago, IL

Full-time

Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions.By joining our team, you’ll be part of our life... Show more

Machine Learning Quantitative Researcher – Work From Home

Next Step Systems – Recruiters for Information Technology Jobs Top IT Recruiting FirmChicago, IL, USA

Remote

Full-time

Machine Learning Quantitative Researcher – Work From Home.We are currently looking for a Machine Learning Quantitative Researcher for a great opportunity.The company participates in a wide variety ... Show more

Business Operations Manager - Machine Learning and AI

JPMorgan ChaseChicago, IL, United States

Full-time

Machine Learning Platform Engineer

TransUnion LLCChicago, Illinois

$90,000.00 yearly

Full-time

This role is part of the Research & Development organization, focused on enabling and evolving enterprise data science capabilities.The team is responsible for protecting existing global data scien... Show more

Machine Learning Engineer - Senior Associate

JPMorgan Chase Bank, N.A.Chicago, IL, US

$118,750.00 yearly

Full-time

Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to support various business functions, workfl... Show more

Machine Learning Engineer

Strategic EmploymentChicago, IL, United States

Full-time

A well-established, publicly traded company in Chicago is hiring its first full-time Machine Learning Engineer.After two years of running ML systems in production through an outside consulting firm... Show more

Machine Learning Engineer

ProsumREMOTE PST, CA, US

30+ days ago

Salary

$75.00 hourly

Job type

Permanent

Remote

Quick Apply

Job description

Machine Learning Engineer
Pay Rate: $75–$89/hour
Position Summary
We are seeking a skilled Machine Learning Engineer (MLOps) to support the full lifecycle of machine learning models, including design, development, deployment, and maintenance. This role focuses on building scalable, production-ready AI/ML solutions and ensuring seamless integration within existing systems.

The ideal candidate will collaborate with cross-functional teams to deploy, monitor, and optimize machine learning models that drive operational efficiency, innovation, and data-driven decision-making. This position requires strong experience in MLOps, DevOps practices, and cloud-based AI infrastructure.
Key Responsibilities

Design, build, deploy, and maintain machine learning models in production environments
Develop and manage end-to-end MLOps pipelines, including model versioning, monitoring, and automation
Implement scalable ML infrastructure using cloud platforms (AWS, Azure, or GCP)
Build and optimize CI/CD pipelines for automated testing and deployment of ML models
Collaborate with data scientists, data engineers, and DevOps teams to operationalize AI solutions
Monitor model performance, system health, and data drift; implement logging and alerting solutions
Ensure reliability, scalability, and performance of ML systems in real-time inference environments
Maintain version control for models and code to support reproducibility and collaboration
Apply best practices for testing, debugging, and performance optimization
Ensure compliance with data security, privacy, and regulatory standards
Create and maintain technical documentation for ML systems and processes

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field
3+ years of experience in machine learning engineering or MLOps
Hands-on experience managing the end-to-end machine learning lifecycle
Strong programming skills in Python, R, and/or SQL
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
Experience with containerization (Docker) and orchestration tools (Kubernetes)
Experience with infrastructure as code tools such as Terraform
Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions)
Strong understanding of software development, system architecture, and deployment processes
Experience with monitoring, logging, and performance tuning of ML systems
Knowledge of version control systems (e.g., Git)

Preferred Qualifications

Master’s degree in Computer Science, Engineering, or a related field
Experience working with healthcare data or regulated environments
Familiarity with Electronic Health Record (EHR) systems
Experience with predictive modeling, natural language processing (NLP), and large language models (LLMs)
Knowledge of retrieval-augmented generation (RAG) frameworks and their applications
Understanding of agile methodologies and DevOps lifecycle practices

Core Competencies

Production-grade ML model deployment and lifecycle management
Scalable infrastructure design for AI/ML workloads
Cross-functional collaboration and technical leadership
Strong analytical and problem-solving skills
Effective technical communication and documentation