ZipRecruiter

Log In

1

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

Tharu Technologies

Lead Data Scientist

Chicago, IL · Hybrid

Design and implement RAG systems and Agentic AI workflows using prompt engineering, fine-tuning of ... Expertise in Python, ML libraries (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch), and GenAI ...

IMC Inc

Quantitative Developer - Python

Chicago, IL

$200K - $225K/yr

Quantitative Developer - Python Chicago, United States IMC is looking for a Quantitative Developer ... Solid understanding of ML concepts as applied to systematic strategies, from research through ...

IMC

Quantitative Developer - Python

Chicago, IL

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 ...

JLL

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 ...

Cengage

AI/ML Engineer - Higher Ed

Chicago, IL · On-site

Strong proficiency in Python with experience building production ML or LLM systems * Hands-on ... Data: Snowflake, Databricks, Postgres, Redis * DevOps: Docker, Terraform, GitHub Actions, CI/CD ...

Cna

Senior AI & ML Engineer

Chicago, IL · Hybrid

$72K - $141K/yr

Strong experience rapidly deploying AI/ML solutions to production in a DevOps environment. * Strong coding fluency in Python. Experience with Big Query, Claude Code, RAG, LLM's, ADK, Prompting is ...

CNA

Senior AI & ML Engineer

Chicago, IL

$72K - $141K/yr

Strong experience rapidly deploying AI/ML solutions to production in a DevOps environment * Strong coding fluency in Python. Experience with Big Query, Claude Code, RAG, LLM's, ADK, Prompting is ...

CNA

Senior AI & ML Engineer

Chicago, IL · On-site

$72K - $141K/yr

Strong experience rapidly deploying AI/ML solutions to production in a DevOps environment. * Strong coding fluency in Python. Experience with Big Query, Claude Code, RAG, LLM's, ADK, Prompting is ...

Reyes Coca-Cola Bottling

Machine Learning Engineer

Niles, IL · On-site

$53 - $72.75/hr

... DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ... Strong proficiency in Python and working knowledge of Bash/shell scripting for automation and ...

Reyes Coca-Cola Bottling

Machine Learning Engineer

Niles, IL · On-site

$53 - $72.75/hr

... DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ... Strong proficiency in Python and working knowledge of Bash/shell scripting for automation and ...

Plenful

Senior Software Engineer, ML Ops

Chicago, IL · Remote

$126K - $166K/yr

As a Senior ML Backend Engineer, you will own the end-to-end development of ML-driven features ... Design, build, and maintain backend services and APIs in Python, with a focus on integrating and ...

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 ...

next page

Showing results 1-20

All JobsPython Ml Developer JobsPython Ml Developer Jobs in Deerfield, IL

Python Ml Developer information

See Deerfield, IL salary details

$13

$59

$87

How much do python ml developer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python ml developer in Deerfield, IL is $59.61, according to ZipRecruiter salary data. Most workers in this role earn between $49.13 and $67.69 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.

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.

What are popular job titles related to Python Ml Developer jobs in Deerfield, IL? For Python Ml Developer jobs in Deerfield, IL, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Deerfield, IL look for? The top searched job categories for Python Ml Developer jobs in Deerfield, IL are:
What cities near Deerfield, IL are hiring for Python Ml Developer jobs? Cities near Deerfield, IL with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Deerfield, IL as of June 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $123,997 per year, or $59.6 per hour.
Lead Data Scientist

Lead Data Scientist

Tharu Technologies

Chicago, IL • Hybrid

Other

Posted 13 days ago

Job description

JOB DESCRIPTION:
Lead Data Scientist - 2 positions -
Work location - Chicago, IL.
LOCALS PREFERRED, immediate joiners only
Work model - Hybrid - 4 days onsite per week.
About the role:
We are seeking a seasoned Lead Data Scientist to spearhead AI and machine learning initiatives for our insurance operations. You will design, develop, and deploy advanced GenAI solutions like RAG and Agentic AI workflows to optimize risk assessment, claims automation, fraud detection, and personalized underwriting. Leading a team, you'll integrate AI into production systems on Cloud platforms, drive model performance, and align innovations with business goals in the dynamic insurance landscape.
Key Responsibilities:
Generative AI & Agentic Workflows:
Design and implement RAG systems and Agentic AI workflows using prompt engineering, fine-tuning of LLMs, and frameworks like LangGraph/LangChain to automate insurance processes such as policy binding and claims adjudication.
Develop autonomous AI agents for tasks like real-time risk scoring and customer query resolution.
Evaluate LLMs for accuracy, bias mitigation, and alignment with insurance regulations (e.g., IRDAI compliance).
Model Development & Deployment:
Architect, build, and refine ML/GenAI models (traditional and generative) to tackle insurance challenges like predictive analytics for market risk, anomaly detection in claims, and isolation forests for fraud.
Deploy scalable models in production on AWS/Azure/Google Cloud Platform.
Optimize models using performance metrics, feedback loops, and A/B testing for cost-efficiency and reliability.
Leadership & Collaboration:
Lead cross-functional teams to integrate AI into existing workflows, enhancing efficiency in underwriting, binding authority, and operations.
Develop robust benchmarks, evaluation metrics, and monitor model drift/bias in large insurance datasets.
Stay ahead of AI advancements, mentoring juniors and presenting insights to stakeholders.
Qualifications & Talents:
Bachelor s/master s in computer science, Statistics, Data Science, or related field.
10+ years in ML/Data Science, with 3+ years leading GenAI projects in insurance/finance.
Expertise in Python, ML libraries (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch), and GenAI frameworks (LangChain, LangGraph).
Strong stats, algorithms, data structures; experience with large datasets, visualization (Matplotlib, Seaborn, Tableau).
Excellent communication, problem-solving, and team leadership skills.
Passion for AI innovation and insurance domain knowledge (e.g., binding authority, actuarial models).

Apply