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Python Ml Developer Jobs in Villa Park, IL (NOW HIRING)

IMC

Quantitative Developer - Python

Chicago, IL · On-site

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... Solid understanding of ML concepts as applied to systematic strategies, from research through ...

Crate and Barrel

AI/ ML Engineer

Northbrook, IL · On-site

Proficiency in Python and fundamental familiarity with essential ML libraries (e.g., scikit-learn ... Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field (or ...

Chime Financial, Inc

Senior AI/ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

About the role We're hiring for a Senior AI/ML Engineer, Growth & Marketing AI to help us build the ... Strong proficiency in Python, SQL, and distributed computing and model training frameworks such as ...

Vizient, Inc.

Sr AI/ML Engineer

Chicago, IL · On-site

$102K - $179K/yr

Own AI/ML solutions end to end, from scoping and design through implementation, deployment, and ... Strong Python expertise and production-grade software engineering practices required. Experience ...

Vizient

Sr AI/ML Engineer

Chicago, IL · On-site

$102K - $179K/yr

Own AI/ML solutions end to end, from scoping and design through implementation, deployment, and ... Strong Python expertise and production-grade software engineering practices required. * Experience ...

IMC

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... Solid understanding of ML concepts as applied to systematic strategies, from research through ...

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Showing results 21-40

All JobsPython Ml Developer JobsPython Ml Developer Jobs in Villa Park, IL

Python Ml Developer information

See Villa Park, IL salary details

$13

$57

$85

How much do python ml developer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for python ml developer in Villa Park, IL is $57.86, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What job categories do people searching Python Ml Developer jobs in Villa Park, IL look for?

The top searched job categories for Python Ml Developer jobs in Villa Park, IL are:

What cities near Villa Park, IL are hiring for Python Ml Developer jobs?

Cities near Villa Park, IL with the most Python Ml Developer job openings:

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Villa Park, IL as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $120,349 per year, or $57.9 per hour.

Senior AI/ML Engineer

Glenview, IL • On-site

Wespath Benefits and Investments
Finance and Insurance • 201 - 500 employees
Learn more about Wespath Benefits and Investmentsexternal

$103K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

Senior AI/ML Engineer
Location:
1901 Chestnut Ave
Glenview, Illinois, 60025
United States
Category:
Information Technology
Date Needed by:
11/5/2026
Primary Duties and Responsibilities:
You bring themotivation, teamwork, and integrity and we will provide the collaborativeculture, professional development, and opportunity to build a meaningful careerat Wespath!
Wespath is anEqual Opportunity Employer that is committed to a diverse and inclusive companyculture and does not discriminate against applicants and employees because ofdisability, sex, race, gender identity, sexual orientation, religion, nationalorigin, age, veteran status, or any other protected status under the law.
Wespath'sInformation Technology team has an opportunity for a Senior AI/ML Engineer. Thisrole is a hands-on software developer responsible for designing, building,deploying, and supporting secure AI-enabled solutions that improve business andIT productivity. This role develops AI agents, copilots, automations,integrations, and reusable components using approved enterprise data,documentation, APIs, Microsoft AI platforms, AWS AI services, and cloud-nativedeployment patterns. The position partners with Product Management, businessstakeholders, IT teams, and governance partners to turn defined opportunitiesinto reliable, scalable, and production-ready AI solutions that reduce manualeffort, improve knowledge discovery, accelerate software delivery, enhanceservice quality, and increase operational efficiency.
More specifically, as a Senior AI/MLEngineer, you will have the following keyresponsibilities:
  • Design, build, test, deploy, and support AI-enabled applications, agents, copilots, automations, and integrations.
  • Evaluate market and software trends to recommend useful AI solutions to IT leadership.
  • Recommend software platforms and solution approaches that align with business and technology needs.
  • Help shape organization-wide AI strategy and data practices for management, governance, curation, and AI readiness.
  • Convert defined business and IT use cases into practical, production-ready AI solutions that deliver measurable business value through automation, improved decision support, increased productivity, and operational efficiency.
  • Partner with stakeholders to define success criteria and measure business impact of deployed AI solutions.
  • Develop agents that securely use approved enterprise content, data sources, APIs, and workflows to answer questions or complete tasks.
  • Prepare enterprise documents and data for AI use through metadata, indexing, retrieval design, validation, and content quality improvements.
  • Build reusable prompts, skills, connectors, templates, and technical patterns that accelerate future AI solution delivery.
  • Integrate AI solutions with enterprise systems, collaboration tools, identity services, approved data platforms, and cloud-native services across Azure, AWS, or similar environments.
  • Apply approved standards for security, privacy, PHI/PII protection, access control, monitoring, and responsible AI use.
  • Monitor, troubleshoot, improve, and document deployed AI solutions so they remain reliable, supportable, and aligned with user needs.

SeniorAI/ML Engineer Benefits and Compensation:
  • Choose the medical, dental, vision, and well-being benefits that best fit your needs from day one.
  • 8% employer contribution to retirement plan with an additional match up to 2% on day one.
  • 22 days of PTO + 12 paid holidays.
  • Hybrid working arrangement. This is a hybrid role requiring regular attendance at our Glenview office. Candidates must currently reside within a daily commutable distance.
  • The compensation range for this position is $162,000 - $202,500 with a bonus opportunity and customary benefits. Final compensation will be set based on the hired applicant's qualifications (education, training, and/or experience related to this role), and as such, may fall outside the range shown.

Minimum Requirements/Qualifications:
  • 7+ years of professional software development experience, including 2+ years of designing, developing, or deploying AI-enabled solutions in enterprise environments.
  • Experience delivering AI solutions that demonstrate measurable business outcomes such as productivity gains, process automation, knowledge discovery, service improvements, or cost reduction.
  • Proficient in Python and commonly used AI/ML technologies.
  • Experience designing, testing, deploying, and supporting production software solutions in enterprise environments.
  • Working knowledge of modern AI and language model concepts and experience building applications with LLM APIs, prompt/context engineering, RAG, embeddings, vector search, and model evaluation.
  • Understanding of agentic AI concepts including task planning, human-in-the-loop review, orchestration, guardrails, and evaluation of agent behavior.
  • Experience working with relational, document, or enterprise knowledge sources such as SQL Server, Oracle, Microsoft Fabric, SharePoint, or similar.
  • Strong analytical, troubleshooting, documentation, and problem-solving skills.

PreferredQualifications
Experience with or exposure to:
  • AI engineering tools such as GitHub Copilot, Claude Code, prompt management frameworks, evaluation tools, and AI operational tooling.
  • AI platforms such as Azure AI Foundry, Azure AI Search, Copilot Studio, Amazon Bedrock, Amazon SageMaker, Amazon Q, OpenSearch, Pinecone, pgvector, or similar technologies supporting retrieval, semantic search, and AI application development.
  • Applied machine learning and natural language processing techniques such as classification, entity extraction, semantic search, and model evaluation.
  • Enterprise content preparation for AI, including document ingestion, metadata, embeddings, vector databases and semantic indexes, semantic search, retrieval validation, grounding strategies, and content lifecycle practices.
  • Responsible AI, data governance, PHI/PII protection, access control, monitoring, secure development, and production support practices.
  • Enterprise integration patterns, APIs, AWS Lambda-based AI integrations, Azure Functions, containers, event-driven workflows, automation tools, and human-in-the-loop review processes.

*This position is not eligible for current or future sponsorship.
*This is a hybrid role requiring regular attendance at our Glenview office. Candidates must currently reside within a daily commutable distance.
Wespath Benefits and Investments is an Equal Opportunity Employer and does not discriminate in hiring.

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