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Machine Learning Engineer Python Jobs in Chicago, IL

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Machine Learning Engineer II

Chicago, IL · On-site

The Machine Learning Engineer II role is part of the Technology Team, which is responsible for ... Programming Languages: SQL, Python > * Understanding of ETL tools and database architecture

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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 ...

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 ...

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 ...

PayPal

Machine Learning Engineer

Chicago, IL

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 ...

Synergistic it

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/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 ...

Synergistic it

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/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 ...

Lessen

Machine Learning Engineer II

Chicago, IL · On-site

$100.40K - $137.50K/yr

The Machine Learning Engineer II role is part of the Technology Team, which is responsible for ... Programming Languages: SQL, Python * Understanding of ETL tools and database architecture

New

Lessen

Machine Learning Engineer II

Chicago, IL

$100.40K - $137.50K/yr

The Machine Learning Engineer II role is part of the Technology Team, which is responsible for ... Programming Languages: SQL, Python * Understanding of ETL tools and database architecture

New

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126.20K - $166.40K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ... Strong object oriented development experience using Python, Java, C# * Familiarity with big data ...

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Machine Learning Engineer Python information

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$23.7K

$144.2K

$208.6K

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

As of May 31, 2026, the average yearly pay for machine learning engineer python in Chicago, IL is $144,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $169,500.00 per year, depending on experience, location, and employer.

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 Chicago, IL? For Machine Learning Engineer Python jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Chicago, IL look for? The top searched job categories for Machine Learning Engineer Python jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Machine Learning Engineer Python jobs? Cities near Chicago, IL with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Applied Machine Learning Engineer

Applied Machine Learning Engineer

Strata Decision Technology

Chicago, IL

$117K - $150K/yr

Other

Medical, Life, Retirement, PTO

Posted 8 days ago

Job description

How You'll Make an Impact
As an Applied Machine Learning Engineer, you will collaborate with architects, data scientists, agentic AI developers, platform engineers, and the product team to build advanced AI and ML capabilities into our platform. Your work will drive innovation in generative AI and beyond, integrating and customizing a wide range of machine learning techniques to solve complex problems in healthcare. By developing next-generation AI agents, algorithms, and computation engines, you will help Strata strengthen its market leadership, improve operational efficiency, and support healthcare providers in delivering high-quality care while maintaining financial health.

A Day in the Life

  • Read and translate the latest research (e.g., arXiv papers) into production-ready solutions in Python.

  • Prototype and iterate on machine learning models, focusing on areas such as regression, causal inference, optimization, and vector embeddings.

  • Collaborate with cross-functional teams to embed ML and AI capabilities directly into our software platform.

  • Partner with data scientists to design experiments and apply statistical concepts to real-world data.

  • Optimize, test, and scale ML models to support mission-critical healthcare analytics.

Our Technology Stack
Our core platform is used by more than half of the nation's leading healthcare providers, enabling them to leverage financial, operational, and clinical data. Our AI and ML stack includes:

  • Languages & Libraries: Python, PyTorch, NumPy, Pandas, Polars, PyMC

  • Infrastructure: AWS, Snowflake, Docker, GitHub

  • Techniques & Tools:

    • Regression (with and without Bayesian priors)

    • Vector embeddings, similarity, clustering

    • Core statistics and distributions for EDA

    • Optimization methods (multi-armed bandit, mixed integer programming)

    • Causal inference and probabilistic modeling

What We're Looking For
We're seeking a technically curious engineer who thrives on turning theory into practice. The ideal candidate has:

  • Strong experience implementing ML models in Python.

  • Familiarity with regression, embeddings, causal inference, and optimization techniques.

  • Experience applying statistical methods to exploratory data analysis.

  • Comfort working with modern ML libraries and frameworks.

Bonus points if you have worked with:

  • NLP tasks (LLMs, spaCy, neural networks).

  • Recommender systems, latent factors, matrix factorization.

  • Graph algorithms.

  • Claude Code, Docker, and GitHub.ess computation engine.

Estimated Salary Range: $117,000-150,000
Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.

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