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Python Ml Developer Jobs in Saint Charles, IL (NOW HIRING)

Accenture

AI/ML Computational Science Engineer

Chicago, IL · On-site

$26.39 - $77.88/hr

... and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and ... Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and ...

YO AI Labs

Mental Health Expert - Remote

Chicago, IL · Remote

$200 - $350/hr

Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands-on production experience with LLMs, RAG, and prompt engineering . * Experience with multi-agent ...

Accenture

AI/ML Computational Science Engineer

Chicago, IL · On-site

$26.39 - $77.88/hr

... and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and ... Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and ...

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral ...

Vizient, Inc.

Senior Software Engineer

Chicago, IL · On-site

$102K - $179K/yr

... developer productivity and operational consistency across the AI/ML team. Evaluate emerging AI ... Strong Python development experience with expertise building production backend services, APIs ...

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral ...

Grindr

Senior Staff MLOps Engineer

Chicago, IL · On-site

$190K - $315K/yr

... ML workflows. * Excellent engineering fundamentals: Python, SQL, bash, Git. * Experience with big ... data and distributed compute: Snowflake, Spark/pySpark, Airflow, Kubernetes, Docker, Helm.

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral ...

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral ...

Northern Base

Applied AI Architect

Chicago, IL · On-site

$142K - $150K/yr

Databricks, MLflow, Unity Catalog, Delta Lake, model serving; production Python AI/ML engineering; RAG and LLM application architecture; multi-agent workflows; MCP/tool calling; LangGraph/Semantic ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Saint Charles, IL

Python Ml Developer information

See Saint Charles, IL salary details

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How much do python ml developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python ml developer in Saint Charles, IL is $57.34, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $65.14 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 Saint Charles, IL look for?

The top searched job categories for Python Ml Developer jobs in Saint Charles, IL are:

What cities near Saint Charles, IL are hiring for Python Ml Developer jobs?

Cities near Saint Charles, IL with the most Python Ml Developer job openings:

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Saint Charles, IL as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $119,271 per year, or $57.3 per hour.

AI Engineer - Security - Remote / Telecommute

Bolingbrook, IL • Remote

CYNET SYSTEMS
IT Services • 501 - 1,000 employees
Learn more about CYNET SYSTEMSexternal

$43 - $48/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago

Job description

Job Overview:

Pay Range: $43.00hr - $48.00hr

Requirement/Must Have:

  • 3+ years in security engineering, cloud engineering, or ML engineering, with direct hands-on exposure to AI/ML or LLM-based systems.
  • Proficiency in Python and experience with ML/LLM frameworks (e.g., LangChain, Hugging Face, TensorFlow/PyTorch) or AI security tooling (e.g., guardrail frameworks, model scanning tools).
  • Working knowledge of cloud platforms (Azure and/or AWS/GCP) and cloud-native security controls (IAM, network segmentation, key/secrets management).
  • Familiarity with AI-specific threat models: prompt injection, model inversion, data poisoning, insecure output handling, excessive agency (OWASP Top 10 for LLM Applications).
  • Experience with CI/CD pipelines, infrastructure-as-code, and integrating security tooling into automated pipelines.

Responsibilities:

  • Design, build, and maintain tooling for AI/ML asset discovery, model inventory, and shadow-AI detection across the enterprise.
  • Implement security controls for AI pipelines, including data protection, access control, secrets management, and secure model deployment (MLOps/LLMOps security).
  • Integrate AI risk signals (e.g., prompt injection attempts, data exfiltration via AI tools, anomalous model behavior) into existing SIEM/SOAR and monitoring platforms.
  • Build automated testing and red-teaming harnesses for AI applications (adversarial testing, jailbreak/prompt-injection testing, data leakage testing).
  • Support secure integration of third-party and internally built AI/LLM services (API gateways, guardrail middleware, output filtering).
  • Collaborate with data science, platform engineering, and application teams to embed security requirements into the AI development lifecycle (secure-by-design, CI/CD gates).
  • Document control implementations, runbooks, and technical standards for AI security engineering.

Nice to Have:

  • Experience with SIEM/SOAR platforms (Splunk, Sentinel, etc.) and scripting integrations.
  • Security certifications (Security+, GCIH, OSCP) or cloud certifications (AWS/Azure Security).
  • Prior retail or PCI-regulated environment experience.

Skills:

  • AI/ML.
  • Python.
  • LangChain.
  • Hugging Face.
  • TensorFlow.
  • PyTorch.
  • Azure.
  • AWS.
  • GCP.
  • MLOps.
  • LLMOps.
  • SIEM.
  • SOAR.
  • CI/CD.
  • Infrastructure-as-code.

Qualification And Education:

  • 3+ years in security engineering, cloud engineering, or ML engineering.
  • 8+ years of overall professional experience.

Benefits:

Our Benefits Include:

  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.


About Cynet Systems


Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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