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Python Ml Developer Jobs in Burbank, IL (NOW HIRING)

Lead AI Engineer

Chicago, IL

$105K - $139K/yr

Responsibilities * 4-6 years' hands-on experience working as Sr AI/ML Developer with at least three ... Python, FastAPI, Flask * LangChain, LlamaIndex, Transformers library * OpenAI API, Azure OpenAI ...

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 ...

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 ...

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 ...

... Python development experience Experience with Django preferred Hands-on experience with AI/ML and Generative AI technologies Understanding of LLMs, prompt engineering, RAG, and AI integration ...

Familiarity with CI/CD and DevOps * Expertise in data preprocessing and ML techniques * Familiarity ... Strong programming skills (Python, R) * Experience with infrastructure as code and cloud services ...

Familiarity with CI/CD and DevOps * Expertise in data preprocessing and ML techniques * Familiarity ... Strong programming skills (Python, R) * Experience with infrastructure as code and cloud services ...

Junior AI/ML Engineer

Lisle, IL · On-site

$76K - $114K/yr

Position Overview The Junior AI/ML Engineer supports the development, deployment, and optimization ... Experience with Python and data science libraries (e.g., Pandas, Scikit-learn) * Familiarity with ...

New

About the job We are seeking a highly skilled and experienced AI/ML Developer to join our team. The ... Expose AI/LLM functionality written in Python using Java services, leverage multi-threading ...

AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles. * Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API. * Deep ...

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Python Ml Developer information

See Burbank, IL salary details

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$59

$88

How much do python ml developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for python ml developer in Burbank, IL is $59.87, according to ZipRecruiter salary data. Most workers in this role earn between $49.33 and $67.98 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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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

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 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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What cities near Burbank, IL are hiring for Python Ml Developer jobs? Cities near Burbank, IL with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Burbank, IL as of July 2026, with employment types broken down into 80% Full Time, 9% Part Time, 1% Temporary, 9% Contract, and 1% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $124,521 per year, or $59.9 per hour.
AI/ML Engineer - School

AI/ML Engineer - School

Cengage Learning, Inc.

Chicago, IL • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

We believe in the power and joy of learning
At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose - driving innovation that helps millions of learners improve their lives and achieve their dreams through education.
Cengage's portfolio of businesses supports student choice by providing a range of pathways that help learners achieve their goals and lead a choice-filled life.
Our culture values inclusion, engagement, and discovery
Our business is driven by our strong culture, and we know that creating an inclusive workplace is absolutely essential to the success of our company and our learners, as well as our individual well-being. We recognize the value of diverse perspectives in everything we do, and strive to ensure employees of all levels and backgrounds feel empowered to voice their ideas and bring their authentic selves to work. We achieve these priorities through programs, benefits, and initiatives that are integrated into the fabric of how we work every day. To learn more, please see https://www.cengagegroup.com/about/inclusion-and-belonging/.
The AI/ML Engineer - School (K-12) delivers AI solutions tailored to K-12 educators, students, and administrators. You will build production AI features that save teachers time on lesson planning and grading, provide personalized support to students, and do so under the strictest compliance and safety standards of any education segment.
This role is unique because K-12 demands more than technical skill - it demands sensitivity to child safety, FERPA compliance, COPPA considerations, and the realities of how teachers actually work. The ideal candidate has shipped K-12 or consumer-safe AI features before and understands that in this domain, 'safe by default' is table stakes.
Key Responsibilities
K-12 AI Feature Development
  • Build AI tools for teacher lesson planning, worksheet creation, and content adaptation
  • Develop AI-powered grading, feedback, and formative assessment features
  • Create age-appropriate student support, tutoring, and help experiences
  • Build administrator analytics and early-warning systems for student intervention
  • Integrate AI capabilities into the Cengage School product ecosystem

Compliance & Child Safety
  • Ensure FERPA, COPPA, and state-level student data privacy compliance in every feature
  • Implement child safety guardrails, content filtering, and age-appropriate AI behavior
  • Partner with Governance on policy enforcement for minors and classroom contexts
  • Handle parent, district, and state-level data privacy and audit requirements
  • Build transparency and explainability into AI features used with minors

Optimization & Impact
  • Optimize features based on teacher usage data and feedback
  • Measure teacher adoption rates, time saved per educator, and classroom impact
  • Partner with curriculum and learning science teams on efficacy measurement
  • Iterate rapidly while maintaining compliance posture at every release
  • Maintain documentation and engineering runbooks for all deployed features

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related field
  • 4+ years of experience in software engineering, with at least 2 years focused on AI/ML
  • Strong proficiency in Python with experience building production ML or LLM systems
  • Hands-on experience with modern AI APIs (OpenAI, Anthropic, AWS Bedrock)
  • Strong understanding of FERPA, COPPA, and education data privacy requirements
  • Experience building AI systems with safety, content filtering, and guardrails
  • Solid software engineering fundamentals including testing, CI/CD, and system design
  • Excellent judgment on child safety and age-appropriate design decisions

Preferred Qualifications
  • Prior experience building AI features for K-12 or consumer-safe environments
  • Background in EdTech with direct teacher or classroom exposure
  • Familiarity with state-level student data privacy regulations (SOPIPA, New York Ed Law 2-d)
  • Experience with content moderation, red-teaming, or AI safety evaluation
  • Familiarity with agentic AI frameworks (LangChain, LlamaIndex)
  • Experience with accessibility standards (WCAG, Section 508, DOJ accessibility)

Tools & Technologies
You should be comfortable with many of the following:
  • Languages: Python, JavaScript/TypeScript, SQL
  • AI/ML: OpenAI API, Anthropic API, AWS Bedrock, LangChain, Hugging Face
  • Safety: Content moderation APIs, custom guardrail systems, red-team frameworks
  • Cloud: AWS (Lambda, ECS, SageMaker, Bedrock), Azure OpenAI
  • Data: Snowflake, Databricks, Postgres, Redis
  • DevOps: Docker, Terraform, GitHub Actions, CI/CD pipelines

Key Competencies
  • Child Safety First - makes conservative design choices when minors are involved
  • Compliance Rigor - builds FERPA/COPPA compliance into every feature from the start
  • Teacher Empathy - understands the realities of classroom workflow and time pressure
  • Shipping Mindset - delivers features on cadence while maintaining compliance posture
  • Technical Craft - writes clean, tested, production-grade code
  • Collaboration - partners effectively with product, legal, and curriculum teams

What We Offer
  • Opportunity to shape AI at scale across a global learning company
  • Direct impact on business outcomes, product, and workforce productivity
  • Access to cutting-edge AI tools, platforms, and technologies
  • Collaborative team environment focused on innovation and continuous improvement

Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws.
Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us at accommodations.ta@cengage.com.
About Cengage
Cengage, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.
Compensation
At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here to learn more about our Total Rewards Philosophy.
The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range.
In this position, you will be eligible to participate in the company's discretionary incentive bonus program. This position's bonus target amount, which is not guaranteed and is dependent on individual performance and overall company results among other factors, is provided below.
10% Annual: Individual Target
$101,900.00 - $163,000.00 USD