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

Co-Sourcing Partners

GCP AI/ML Engineer

Chicago, IL · On-site

Job Title: GCP AI/ML Engineer Duration: 6 months Contract to hire Location: Chicago is the ... Orchestrate ML workflows using Python, Vertex AI, BigQuery, and Cloud Storage. * Ensure pipelines ...

CoSourcing Partners

GCP AI/ML Engineer

Chicago, IL · On-site +1

Job Title: GCP AI/ML Engineer Duration: 6 months Contract to hire Location: Chicago is the ... Orchestrate ML workflows using Python, Vertex AI, BigQuery, and Cloud Storage. * Ensure pipelines ...

Resource Point LLC

AI/ML Engineer

Chicago, IL · On-site

Position: AI/ML Engineer Duration: 12 months Location: Chicago, IL An AI/ML Engineer designs ... Proficiency in Python, Java, or R, Golang * Machine Learning Frameworks : Expertise in tools and ...

Inspire11

ML Engineering Consultant

Chicago, IL · On-site

... and DevOps • Expertise in data preprocessing and ML techniques • Familiarity with model ... programming skills (Python, R) • Experience with infrastructure as code and cloud services ...

NAVA Software Solutions

Sr. AI/ML Engineer

Deerfield, IL · On-site

$106K - $145K/yr

Strong Python engineering background with ML/DL frameworks: TensorFlow, PyTorch, Keras, OpenCV * Proven experience in Computer Vision tasks, including object detection, segmentation, and OCR

Strategic Employment

Python Engineer

Chicago, IL · Hybrid

Python Engineer An established healthcare company is looking for a driven Python Engineer to join ... AWS SageMaker experience will be a big plus as they're in the process of bringing ML development in ...

Career Renew

Senior ML Engineer

Chicago, IL · Remote

$180K - $240K/yr

... ML team building production-grade AI voice agents used by enterprise customers like AAA and ... You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ...

Tata Consultancy Services

Senior AI ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

Tata Consultancy Services is seeking a Senior AI ML Engineer to design and deliver AI/ML solutions ... • Strong Python skills with frameworks like LangChain, LlamaIndex, PyTorch, etc. • CI/CD ...

Invoca

Senior ML Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

Senior ML Engineer About Invoca Invoca is an AI-powered revenue execution platform that brings ... Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy)

Tror AI for everyone

AI Developer

Mettawa, IL · On-site

$80/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Rate: $80/hr on C2C Design, build, and deploy ... Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow ...

UnitedHealth Group

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 ...

UnitedHealth Group

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 ...

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

Python Ml Developer information

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$13

$59

$87

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:
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 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.
AI/ML Engineer

AI/ML Engineer

Strategic Resources International

Chicago, IL • On-site

Other

Posted 3 days ago

New

Job description

Key responsibilities

Build, train, evaluate and deploy ML models and LLM/GenAI-based solutions into production.

Develop ML pipelines, feature stores and serving infrastructure; monitor model performance and drift.

Collaborate with product and engineering to integrate AI capabilities into customer-facing workflows.

Translate ambiguous business problems into well-scoped, measurable AI solutions.

Skills

Python SQL AWS

Hands-on ML engineering in Python (PyTorch/TensorFlow/scikit-learn); SQL for feature and data work; deploying ML workloads on AWS (SageMaker, Bedrock, Lambda, S3).

LLM / GenAI, RAG, prompt engineering, vector databases.

MLOps tooling (MLflow, Kubeflow, model registries).

Healthcare data and clinical NLP experience

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