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Python Ml Developer Jobs in Illinois (NOW HIRING)

Strong Python skills with TensorFlow and PyTorch. * Proven AWS expertise including Bedrock, Lambda ... AWS certification required such as Solutions Architect Associate, Developer Associate, Machine ...

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 ...

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 ...

Senior AI/ML Engineer

Chicago, IL · Hybrid

$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 ...

Senior ML, MLOps Engineer

Vernon Hills, IL

$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 ...

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 ...

... 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 ...

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.

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 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 June 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.
Senior Software Cloud Fullstack Developer (Self Driving)

Senior Software Cloud Fullstack Developer (Self Driving)

Premier Staffing Solution

Normal, IL • Remote

Full-time

Posted 27 days ago


Job description

Job Title: Staff AI/ML Full-Stack Engineer & Technical Lead (Contract ? 1 Year)
Location: Remote (Normal, IL)
Employment Type: Full-Time


Overview

We're hiring a Staff AI/ML Engineer & Technical Lead to own the architecture and delivery of scalable, enterprise-grade AI applications. This is a hands-on leadership role spanning full-stack development, cloud infrastructure, and end-to-end ML system design.


Responsibilities
  • Lead system architecture, technology selection, and integration design
  • Build and scale full-stack applications (React/Vue/Streamlit/Angular + Python/Golang/Rust)
  • Design and deploy cloud-native systems on AWS using Docker and Kubernetes
  • Develop REST and GraphQL APIs for internal and external use
  • Implement CI/CD pipelines, automated testing, and IaC (Terraform, Pulumi)
  • Optimize performance, scalability, and reliability across systems
  • Mentor engineers and enforce best practices through code/design reviews
  • Partner with product and business teams to deliver impactful solutions

Requirements
  • Strong experience in full-stack engineering and system architecture
  • Deep knowledge of AWS and Databricks (required); GCP is a plus
  • Expertise in database selection, deployment, and DevOps practices
  • Hands-on experience with ML and LLM systems (RAG, vector DBs, embeddings)
  • Solid understanding of MLOps, including deployment and monitoring pipelines
  • Experience building and deploying production-grade AI/ML applications end-to-end

Required Qualifications
  • Bachelor's degree in Computer Science (required)
  • 10+ years of enterprise cloud deployment experience; 5+ years in software development
  • 5+ years of hands-on experience with AWS and Databricks in MLOps environments
  • Strong background as a hands-on software lead building cloud infrastructure and platforms

Core Expertise
  • Architect and deploy end-to-end AI/ML systems, including traditional ML and RAG-based applications
  • Design agentic AI pipelines and reusable frameworks for team-wide contribution
  • Define best practices for model serving, data pipelines, and MLOps strategies
  • Hands-on experience with model development and system architecture

Technical Skills
  • Expertise in ML, deep learning, LLMs, embeddings, and RAG frameworks
  • Strong software engineering skills: Python, APIs, microservices, database design, Git
  • Experience with AWS, Databricks (required), and GCP (preferred)
  • Proficiency in containerization and orchestration (Docker, Kubernetes)
  • Solid understanding of MLOps, CI/CD for AI, and production monitoring
  • Experience with distributed systems, scalable architectures, and data pipelines
  • Database selection, deployment, and optimization with strong DevOps practices

Preferred Qualifications
  • Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ, NATS)
  • Familiarity with authentication/authorization (OAuth2, JWT, SSO)
  • Knowledge of observability tools (Prometheus, Grafana, OpenTelemetry)
  • Experience building large-scale enterprise or SaaS platforms
  • Proficiency in Python, Golang, or Rust
  • Experience in manufacturing, predictive maintenance, or controls engineering

Soft Skills
  • Strong problem-solving and decision-making in complex technical environments
  • Ability to lead architectural direction and influence across teams
  • Clear communication with both technical and non-technical stakeholders

Premier Staffing Solution logo

About Premier Staffing Solution

Sourced by ZipRecruiter

With our strategic contingent workforce solutions, scale up or down to adapt to changing market demands. Don't let short-term staffing needs hold you back. Whether you need skilled manufacturing workers or reliable warehouse staff, we have the resources and expertise to provide the right people for the job.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Toledo, OH, US

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