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

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

$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 ...

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 ...

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 ...

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 ...

CDW

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 ...

Xlysi

AI Engineer | Remote | W2 Only |

Chicago, IL · Remote

... 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 ...

Inspire11

ML Engineering Consultant

Chicago, IL · On-site

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 ...

Inspire11

ML Engineering Consultant

Chicago, IL · On-site +1

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 ...

Tror AI for everyone

Senior AI Developer

Mettawa, IL · On-site

$62.50 - $82.50/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Design, build, and deploy cutting-edge AI ... Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow ...

Pulsora, Inc.

AI Engineer - United States

Chicago, IL · Remote

$50K - $60K/yr

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 ...

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

Python Ml Developer information

See Deerfield, IL salary details

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How much do python ml developer jobs pay per hour?

As of Jul 9, 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.

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 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:
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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 July 2026, with employment types broken down into 85% Full Time, 5% Part Time, 1% Temporary, and 9% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $123,997 per year, or $59.6 per hour.
Quantitative Developer - Python

Quantitative Developer - Python

IMC

Chicago, IL

Other

Re-posted 11 days ago

Job description

IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation to live trading. You will build the systems that turn quantitative insights into measurable edge, with direct visibility into how your work creates impact.

Your Core Responsibilities

  • Build and maintain systems that span research and production, enabling rapid iteration from idea to production
  • Design high-fidelity simulation and backtesting infrastructure that models latency, microstructure, and real-world constraints
  • Define, compute, and curate features across instruments, regimes, and time horizons
  • Own feature and signal pipelines, ensuring clean, consistent delivery from research to execution
  • Contribute to strategy optimization, balancing expected performance with real-world constraints
  • Debug issues end-to-end across research and execution

Your Skills and Experience

  • 3-7 years of experience in quantitative software development, preferably at a trading firm or systematic fund
  • Strong production experience in Python, including data analysis workflows (pandas, polars, or similar)
  • Strong grounding in probability, statistics, and time series analysis; familiarity with backtesting and simulation frameworks
  • Solid understanding of ML concepts as applied to systematic strategies, from research through production
  • Experience with low-latency systems is valuable
  • Ability to work fluidly across research and engineering teams

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