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Machine Learning Engineer Python Jobs in Schaumburg, IL

Kasmo Global

Machine Learning Engineer

Chicago, IL · On-site

Machine Learning Engineer Location: San Jose, CA/Chicago, IL Duration: 18 months contract with a ... Python, PySpark, and Big Query to develop robust workflows for fraud signal detection. • ...

Darwill, Inc.

Machine Learning Engineer

Villa Park, IL · On-site

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... Python (pandas, numpy, scikit-learn; experience with XGBoost or LightGBM preferred) * Feature ...

IMC Inc

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

Strong engineering skills, including Python, CUDA, or C++ * Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX * Proficiency in GPU programming for training and inference ...

IMC

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

Strong engineering skills, including Python, CUDA, or C++ * Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX * Proficiency in GPU programming for training and inference ...

Aquabyte

Machine Learning Engineer

Mundelein, IL · On-site

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish ... Strong coding ability; strong grasp of Python, SQL * Strong data analytics & modeling & ML skills

Fitch Group

Machine Learning Engineer (Toronto)

Chicago, IL · On-site

$100K - $130K/yr

Machine Learning Engineer (Toronto) The Fitch Group's Emerging Technology team is seeking a Machine ... Use Python and large-scale workflow orchestration tools (for example, Airflow) to build production ...

New

1872 Consulting

Machine Learning Engineer

Chicago, IL · On-site

Programming fluency in C/C++ and Python, with knowledge of OpenCV and programming on GPU using ... Hands-on experience applying machine learning and deep learning to vision data, preferably direct ...

Ontrac Solutions

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation engagement for one of our clients. This role is ideal for junior-to-mid-level engineers with strong ...

Ontrac Solutions

Machine Learning Engineer

Chicago, IL

$70 - $90/hr

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation engagement for one of our clients. This role is ideal for junior-to-mid-level engineers with strong ...

PayPal

Machine Learning Engineer

Chicago, IL · On-site

... engineers and data scientists on model deployment. * Conduct experiments and run machine learning ... Possessing advanced coding skills in dealing with big data (e.g., Scikit-learn in Python ...

PayPal, Inc.

Machine Learning Engineer

Chicago, IL · On-site

... engineers and data scientists on model deployment. * Conduct experiments and run machine learning ... Possessing advanced coding skills in dealing with big data (e.g., Scikit-learn in Python ...

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Machine Learning Engineer Python information

See Schaumburg, IL salary details

$22.6K

$137.4K

$198.8K

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

As of Jun 4, 2026, the average yearly pay for machine learning engineer python in Schaumburg, IL is $137,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $161,500.00 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 Schaumburg, IL? For Machine Learning Engineer Python jobs in Schaumburg, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Schaumburg, IL look for? The top searched job categories for Machine Learning Engineer Python jobs in Schaumburg, IL are:
What cities near Schaumburg, IL are hiring for Machine Learning Engineer Python jobs? Cities near Schaumburg, IL with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you

Machine Learning Engineer

Kasmo Global

Chicago, IL • On-site

Other

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

Job description

Machine Learning Engineer

Location: San Jose, CA/Chicago, IL

Duration: 18 months contract with a possible extension

What You'll Do

• Redesign and optimize PayPal's MLOps and decision platform for fraud detection

• Architect large-scale big-data infrastructure to enable use of cutting-edge machine learning models for real-time fraud prevention.

• Collaborate with data scientists and platform engineers to automate workflow

• Provide solutions that ensure compliance, security, and maintainability across the fraud detection ecosystem.

• Work with high-dimensional datasets and leverage tools like Python, PySpark, and Big Query to develop robust workflows for fraud signal detection.

• Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform.

• Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally.

• Tasks will be distributed via our Jira board/sprint planning/grooming cycle.

• Team will have a regular standup on each task (at least twice a week but open for daily if needed or any blockers).

• During the onboarding, it would require more interactions with Engg/Product/US Risk core teams but once onboarded, it would be 50/50.

• Team work mostly within Jira board from tasks assignments and tracking.

• Code would be in our centralized GitHub repo.

• Updates/documentation would be either in wiki page or our SharePoint/share drive.

You would get chance to design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation. You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities. By joining us, you will not only contribute to PayPal's fraud detection efforts but leave a lasting impact on the financial security of millions of users around the globe.

Top Skills:
  • Big Query, Python, SQL
  • Understand the production systems architect and offline data overview
  • Machine Learning experience

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