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Python Ml Developer Jobs in Illinois (NOW HIRING)

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

As a Lead AI/ML Engineer within Optum Rx, you will lead the design, development, and scaling of ... using Python, Java, Scala, or similar programming languages * 3 years of experience designing ...

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

As a Lead AI/ML Engineer within Optum Rx, you will lead the design, development, and scaling of ... using Python, Java, Scala, or similar programming languages * 3+ years of experience designing ...

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 ...

Lead AI Engineer

Chicago, IL · On-site

$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 ...

Senior ML, MLOps Engineer

Vernon Hills, IL · On-site

$101K - $139K/yr

The Senior ML / MLOps Engineer designs, builds, and operates scalable machine learning solutions on ... Python async patterns to support higher‑concurrency workloads. * Apply CI/CD and DevOps best ...

... 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 ...

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Python Ml Developer information

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 job categories do people searching Python Ml Developer jobs in Illinois look for? The top searched job categories for Python Ml Developer jobs in Illinois are:
What cities in Illinois are hiring for Python Ml Developer jobs? Cities in Illinois with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Illinois as of July 2026, with employment types broken down into 88% Full Time, 2% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
AI/ML Engineer (Senior Associate) - Remote

AI/ML Engineer (Senior Associate) - Remote

Huron Consulting Group

Chicago, IL • On-site, Remote

$130K - $160K/yr

Full-time

Medical, Dental, Vision

Re-posted yesterday


Huron Consulting Group rating

7.2

Company rating: 7.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

42nd of 58 rated business consultants


Job description

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.
Join our team as the expert you are now and create your future.

We are looking for a hands-on and adaptable AI/ML Engineer to join our AI practice. You'll help design, build, and deploy intelligent systems that leverage a range of technologies-from machine learning to generative AI and agent-based architectures-to solve complex, real-world problems.
This role spans the full AI solution lifecycle: data preparation, model development, application integration, and ongoing evaluation. You will collaborate closely with architects, and domain experts to ensure the AI solutions you help build are intelligent, reliable, and aligned with client goals.
We work across industries and use cases, from early-stage prototypes to production-ready deployments, and we're continuously exploring new AI paradigms-including AI agents, agent orchestration layer, model chaining, and self-evaluating systems. If you're excited by emerging AI technologies, fast-moving teams, and applied problem-solving, this is the role for you.

Key Responsibilities

  • Design and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings

  • Build intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar

  • Create modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption

  • Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training

  • Implement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning

  • Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production

  • Support rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case

  • Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities

  • Support project management tasks, including planning, tracking deliverables, coordinating cross-functional teams, and ensuring alignment with client timelines and objectives

  • Assist in preparing status reports, managing stakeholder communications, and identifying risks or issues in project execution

Required Qualifications

  • 3+ years of hands-on experience in AI/ML development or intelligent application engineering

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field

  • Experience in Python

  • Familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)

  • Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)

Preferred Qualifications

  • 5+ years of hands-on experience in AI/ML development or intelligent application engineering

  • Proficiency in Python

  • Strong familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)

  • Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks

  • Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases

  • Strong Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)

  • Familiarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services

  • Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring is a plus

  • Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus

  • Knowledge of AI system evaluation, observability, or prompt performance testing is a plus

  • Ability to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiences

  • Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) is a plus

  • Experience managing technical projects or performing hybrid engineer/PM roles, with strong organizational and communication skills

  • Ability to balance hands-on development with project coordination, ensuring both technical quality and timely delivery

Flexible living locations across US, ability to travel as needed.

The estimated base salary for this job is $130,000 - $160,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron's annual incentive compensation program, which reflects Huron's pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $145,600 - $188,800 USD. The job is also eligible to participate in Huron's benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
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Position LevelSenior AssociateCountryUnited States of America

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About Huron Consulting Group

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Huron Consulting Group, based in Chicago, IL, US, is a leading global management consulting firm specialized in providing performance improvement and reformation skills to different types of organizations. The company operates in the management consulting industry, which includes strategy, operations, technology, and analytics. Founded in 2002, Huron Consulting Group aids entities to tackle complex business challenges, enhance their ability to drive change, encourage their efficiency, and stimulate innovation. The company's overriding mission is to assist clients in becoming more successful.

Industry

Business management consulting

Company size

1,001 - 5,000 Employees

Headquarters location

Chicago, IL, US

Year founded

2002