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

Lessen

Machine Learning Engineer II

Chicago, IL · On-site

$100K - $137K/yr

The Machine Learning Engineer II role is part of the Technology Team, which is responsible for providing industry-leading machine learning-based tools or processes to the Company, which provide a ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$127K - $167K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and operationalizing productiongrade AI solutions-partnering closely with product, engineering, and ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

PayPal, Inc.

Sr Machine Learning Engineer

Chicago, IL · On-site

$57.50 - $76/hr

D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques, including but ...

PayPal

Sr Machine Learning Engineer

Chicago, IL · On-site

$57.50 - $76/hr

D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques, including but ...

Huxley

Senior Machine Learning Engineer

Chicago, IL

$107K - $147K/yr

Our client is looking to bring on a Senior Machine Learning Engineer to help build and scale a nextgeneration voice-centric AI platform used by millions. In this role, you'll own the full ML ...

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

Machine Learning Engineer information

See Chicago, IL salary details

$32.5K

$132.8K

$199.5K

How much do machine learning engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for machine learning engineer in Chicago, IL is $132,755.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $159,800.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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 strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Chicago, IL? The most popular types of Machine Learning Engineer jobs in Chicago, IL are:
What are popular job titles related to Machine Learning Engineer jobs in Chicago, IL? For Machine Learning Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Chicago, IL look for? The top searched job categories for Machine Learning Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Machine Learning Engineer jobs? Cities near Chicago, IL with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Chicago, IL as of May 2026, with employment types broken down into 100% Full Time. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $132,755 per year, or $63.8 per hour.
Machine Learning Engineer II

Machine Learning Engineer II

Lessen

Chicago, IL • On-site

$100K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Lessen is the tech-enabled, end-to-end property service provider that is transforming how commercial and residential real estate services are delivered and managed at scale. Lessen's technology platform provides data-driven insights that unlock key growth opportunities for the entire real estate ecosystem-including investors, owners, managers, and service providers. The company leverages a network of over 30,000 vetted, qualified vendors (Lessen Affiliates) serving clients with over 1 million properties and completing more than 3.5 million work orders annually across an expanding range of services. Lessen, LLC is a venture-backed, privately held company with offices in Scottsdale and Chicago. 

The Machine Learning Engineer II role is part of the Technology Team, which is responsible for providing industry-leading machine learning-based tools or processes to the Company, which provide a competitive advantage and eciency. You will work closely with cross-functional teams to build intelligent systems that solve real-world problems using machine learning, deep learning, and data science techniques. 
What You'll Do:

  • Design, deploy, ne-tune, and evaluate large language models (LLMs); develop eective prompting strategies to optimize performance for various business use cases. 

  • Improve data quality by cleaning the company's data and sourcing information from new data sources. 

  • Use machine learning/ deep learning to enhance and automate processes in Lessen proprietary tools. 

  • Translate business problems into scalable AI/ML solutions, particularly using LLMs, in areas 

  • such as copilot systems, intelligent voice assistants, and work order processing optimization. 

  • Collaborate cross-functionally with teams to develop, rene, and scale data-driven procedures and workows. 

  • Foster a positive team environment. 

  • Ensure condentiality and integrity of internal and external data. 

  • Perform ad-hoc projects and other duties as assigned. 

You Should Have:
 
Minimum Qualifications 
 

  • PhD or Master's degree in Math, Physics, Statistics, Computer Science, or other related elds 

  • 1-3 years of experience as a data scientist, working closely within a business 

  • Strong mathematical and statistical skills 

  • Programming Languages: SQL, Python 

  • Understanding of ETL tools and database architecture 

  • Familiarity with pytorch, pandas and cloud platform like AWS, Azure and GCP 

  • Prompt engineering experience 

  • Experience using a machine learning framework e.g. scikit-learn, pytorch or similar 

  • Experience with a statistical software (e.g. R, SAS) 

  • Experience with natural language processing 

  • Advanced knowledge of Data Warehousing and BI best practices 

  • Experience with big data tools such as Spark, Hadoop, etc. 

  • Experience with Tableau or Superset  

These are the professional skills we would expect from an individual fully established in this role.  

  • Verbal Communication - Proficient  

  • Written Communication - Proficient  

  • Teamwork - Advanced 

  • Relationships - Advanced 

  • Organizational Awareness - Advanced 

  • Learning Agility - Advanced  

  • Analysis - Advanced  

  • Problem Solving - Advanced  

  • Process Orientation - Advanced 

  • Prioritization - Advanced 

  • Customer Service - Proficient 

  • Process Orientation - Advanced 

  • Negotiation - Advanced 

Why Lessen:
        Competitive compensation
        Health, Dental, Vision, Life, Disability options
        401K retirement savings plan
        Paid vacation, federal and floating holidays
        Maternity/Paternity Pay
        Career advancement opportunities
        All the tools you'll need to be successful

Lessen is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. We're looking for teammates that are enthusiastic, empathetic, curious, motivated, reliable, and will help us amplify the positive & inclusive culture we've been building.  Lessen is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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