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Machine Learning Engineer Python Jobs in Illinois

Coin Flow

Machine Learning Engineer

Chicago, IL

$160K - $220K/yr

Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers our platform. This is a zero-to-one role. You will be the first dedicated ML hire and will own how ...

Coinflow

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers our platform. This is a zero-to-one role. You will be the first dedicated ML hire and will own how ...

Reyes Coca-Cola Bottling

Machine Learning Engineer

Niles, IL · On-site

$53 - $72.75/hr

... DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ... Strong proficiency in Python and working knowledge of Bash/shell scripting for automation and ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120.90K - $159.40K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ... Python. • Strong background in advanced Python and big data technologies • Experience with ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120.90K - $159.40K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ... Strong background in advanced Python and big data technologies * Experience with cloud ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120.90K - $159.40K/yr

Our machine learning engineering team is responsible for developing infrastructure and tooling to ... Strong background in advanced Python and big data technologies. * Experience with cloud ...

Apex Systems

Senior Machine Learning Engineer

Chicago, IL · On-site

$107.70K - $147.90K/yr

The client seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets ... Python, SQL, PySpark, Docker Experience with streaming and batch data architectures at scale ...

PayPal

Machine Learning Engineer

Chicago, IL · On-site

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Allied

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$150K - $185K/yr

POSITION SUMMARY The Senior Machine Learning Engineer is responsible for designing, building, and ... Solid software engineering skills with Python and familiarity with modern ML frameworks such as ...

UST Inc

AWS Machine Learning Engineer

Chicago, IL

$72K - $108K/yr

Role description AWS Machine Learning Engineer ML Engineer I Who We Are: Born digital, UST ... in Python. • 2+ years of production experience with Amazon SageMaker for training and/or ...

New

Monster

AI & Machine Learning Engineer

Chicago, IL · On-site

$118K - $141.60K/yr

... Python/Java developer , data analyst , data engineer , data scientist , and machine learning/AI ... engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack ...

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Machine Learning Engineer Python information

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

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What are popular job titles related to Machine Learning Engineer Python jobs in Illinois? For Machine Learning Engineer Python jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Illinois look for? The top searched job categories for Machine Learning Engineer Python jobs in Illinois are:
What cities in Illinois are hiring for Machine Learning Engineer Python jobs? Cities in Illinois with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in Illinois as of May 2026, with employment types broken down into 41% Full Time, 57% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Machine Learning Engineer (Chicago)

Fitch Group

Chicago, IL • On-site

Full-time

Posted 16 days ago

Job description

The Fitch Group's Emerging Technology team is seeking a Machine Learning Engineer to join a team focused on building and supporting Generative AI, Machine Learning (ML), and Data Science solutions across the organization. This position could be based in our Chicago office
The Emerging Technology team objectives:
  • Implement AI & ML technology in collaboration with business partners and product owners
  • Develop and support enterprise-level AI exploration tools and capabilities
  • Provide guidance and support for safe development and deployment of AI
  • Establish and maintain policies, guidelines, and processes for AI/ML governance, including third-party AI governance

What We Offer:
  • A high impact role with significant visibility, working on flagship Fitch products
  • An excellent opportunity to work in cutting-edge areas of machine learning and data science
  • An excellent work culture known for providing a good work-life balance

We'll Count on You To:
  • Work closely with product squads and partner teams to design, build, integrate, and deploy ML and GenAI solutions in production, while sharing best practices with other engineers.
  • Communicate ML and GenAI concepts clearly to technical and non-technical stakeholders, with a focus on practical application to Fitch use cases.
  • Collaborate with engineers, data scientists, and product partners to develop and deploy ML and GenAI solutions that deliver measurable business value.
  • Partner with data scientists and domain experts to identify practical opportunities where data, ML, and GenAI can improve business outcomes.
  • Build scalable services, pipelines, and workflows for ML and GenAI use cases, with guidance from senior engineers where needed.
  • Support production applications by helping maintain reliability, monitoring performance, and using metrics to improve existing ML solutions.
  • Use cloud services, primarily in AWS, to support data pipelines, model deployment, and LLM-based workflows. Familiarity with Azure services is a plus.
  • Use Python and large-scale workflow orchestration tools (for example, Airflow) to build production-quality services, data pipelines, and integrations across diverse data sources and storage systems.

What You Need to Have:
  • 3+ years of experience as a machine learning engineer or in a closely related software engineering role focused on ML systems.
  • Experience writing production-quality Python code and applying sound software engineering practices.
  • Strong foundation in machine learning concepts and practical experience applying modern ML techniques to real-world problems.
  • Strong software engineering fundamentals, including code quality, automated testing, version control, observability, and performance optimization.
  • Experience building or integrating Generative AI applications, such as retrieval-augmented generation, evaluation workflows, or agent-assisted systems.
  • Experience building or improving search, retrieval, or data access layers that support ML or GenAI applications.
  • Experience with containerized deployment and orchestration, such as Docker and Kubernetes.
  • Experience with cloud-native ML and data services, especially in AWS. Familiarity with tools such as Bedrock, S3, SageMaker, Azure AI Search, or Azure OpenAI is helpful.
  • Bachelor's degree in computer science, machine learning, data science, applied mathematics, or a related field, or equivalent practical experience.

What Would Make You Stand Out:
  • Passion for using data and ML to drive better business outcomes for customers
  • Proven ability to work effectively in a distributed team environment and contribute in fast-paced settings.
  • Familiarity with credit ratings agencies, regulations, and data products
  • Excellent written and verbal communication skills
  • Advocate of good code quality and architectural practices
  • Strong interpersonal skills and ability to work proactively as a team player

Why Fitch?
At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.
Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority.
We are building incredible things at Fitch and we invite you to join us on our journey.
Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by the Hearst Corporation, we are comprised of three main businesses: Fitch Ratings | Fitch Solutions | Fitch Learning.
For more information please visit our websites:
www.fitchratings.com | www.fitchsolutions.com | www.fitchlearning.com
Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.
Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
FOR CHICAGO ROLES ONLY: Expected base pay rates for the role will be between $120,000 and $130,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch's total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.

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