ZipRecruiter

Log In

1

Machine Learning Engineer Opt Jobs in Chicago, IL

3B Staffing LLC

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Senior Machine Learning Engineer Chicago, IL Description: PURPOSE: At Hyatt, we're working to Advance Care through data-driven decisions and automation. This mission serves as the foundation for ...

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation ...

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation ...

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation ...

Attain

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

About the role Attain is seeking a Senior Machine Learning Engineer to own our production ML systems and build out the MLOps platform infrastructure that powers our suite of B2C financial services.

Crowe

Machine Learning Engineer

Chicago, IL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Crowe LLP

Machine Learning Engineer

Chicago, IL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Crowe

Machine Learning Engineer

Chicago, IL · On-site

$29.81 - $48.08/hr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Crowe Advisory LLC

Machine Learning Engineer

Chicago, IL · On-site

$80 - $100/hr

About the Role As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves ...

Lightspeed

AI & Machine Learning Engineer

Northbrook, IL · On-site

$100 - $125/hr

As an AI & Machine Learning Engineer, you will design, build, and deploy the intelligent systems that make LightSpeed's construction robots smarter, faster, and more autonomous. You will develop ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Chicago, IL

Machine Learning Engineer Opt information

See Chicago, IL salary details

$32.5K

$132.7K

$199.3K

How much do machine learning engineer opt jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning engineer opt in Chicago, IL is $132,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $159,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are popular job titles related to Machine Learning Engineer Opt jobs in Chicago, IL?

For Machine Learning Engineer Opt jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Opt jobs in Chicago, IL look for?

The top searched job categories for Machine Learning Engineer Opt jobs in Chicago, IL are:

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

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

Machine Learning Engineer Opt jobs near you
Infographic showing various Machine Learning Engineer Opt job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $132,651 per year, or $63.8 per hour.

Senior Machine Learning Engineer

3B Staffing LLC

Chicago, IL • On-site

$107K - $147K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Title: Senior Machine Learning Engineer

Chicago, IL

Description: PURPOSE:
At Hyatt, we're working to Advance Care through data-driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can't do that without the best talent - talent that is innovative, curious, and driven to create exceptional experiences for our guests, customers, owners and colleagues.

Hyatt seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that Hyatt guests, members, customers and internal users leverage to transform the guest experience and drive efficiencies across the operations of our business.

In this role you will design and implement algorithmic product architectures to bring our machine learning models to life across the full lifecycle of the product including data ingestion, ML processing, and results delivery/activation. This role will work cross-functionally with various data science teams, data engineering teams, and data architecture teams. The ideal candidate can serve as both solutions architect as well as hands-on implementation engineer and guide the team towards best-in-class algorithmic product implementations.

You will be a part of a ground-floor, hands-on, highly visible team which is positioned for growth and is highly collaborative and passionate about data science.
Applying the latest techniques and approaches across the domains of data science, machine learning, and AI isn't just a nice to have, it's a must.

POSITION RESPONSIBILITIES:

  • Partner with data scientists to design workflows/architectures that activate ML models and maximize their impact, such as real-time streaming use-cases and offline batch optimizations.
  • Partner with data scientists to develop prototype solutions of algorithmic products leveraging appropriate AWS services with appropriate consideration for scale and latency where applicable.
  • Implement and productionize final solutions via infrastructure-as-code pattern.
  • Implement data processing workflows to enhance our Feature Store with impactful data including appropriate data cleansing/imputation logic.
  • Enhance existing algorithmic products architecture/workflow as needed to maximize impact of the algorithmic product.
  • Partner with data engineering team to ensure data science data needs are being delivered in the appropriate format/cadence required for maximum impact.
  • Stay up to date with latest design patterns and AWS services with respect to Machine Learning Engineering.
  • Partner with data architecture, data governance, and security team to ensure solutions meet required standards. The ideal candidate demonstrates a commitment to Hyatt core values: respect, integrity, humility, empathy, creativity, and fun.

EXPERIENCE AND QUALIFICATIONS:

  • 5+ years of implementing software product solutions in a cloud environment with a focus on algorithmic/machine learning products, hospitality experience not required
  • Expertise in AWS cloud services
  • Expertise in Python, SQL, PySpark, Docker
  • Experience with streaming and batch data architectures at scale
  • Experience operating in an Agile Methodology environment.
  • Experience with DevOps and CI/CD concepts
  • Excellent communication and teamwork skills
  • Position will not require customer-facing interactions.

Apply