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Executive Full Stack Machine Learning Engineer Jobs in Chicago, IL

Full Stack Engineer

Schaumburg, IL · On-site

$115K - $130K/yr

The Full Stack Engineer works alongside other developers on the Product Strategy & Technology (PST) team to build, maintain, and improve DataDelivers' core CDP product. This role owns feature ...

Role: Agentic AI/AI Engineer - Generative AI & Machine Learning Location: Schaumburg, IL (Hybrid ... Engage in full-stack development, with a focus on Python for backend services and React for ...

Sr. Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

... full context of property management workflows. This foundation allows us to build context-aware ... Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands ...

Generative AI Engineer

Schaumburg, IL · On-site

$95K - $131K/yr

... and traditional Machine Learning, with a proven ability to work on existing applications and ... Engage in full-stack development, focusing on Python for backend services and React for frontend ...

Role: Agentic AI/AI Engineer - Generative AI & Machine Learning Location:  Schaumburg, IL ... Engage in full-stack development, with a focus on Python for backend services and React for ...

Full Stack Engineer

Chicago, IL · On-site

$65 - $75/hr

Senior Full Stack Software Engineer Industry: Hospitality Location (City, State): Chicago, IL Assignment Type: Contract through the end of the year Pay: $65/hr - $75/hr W2 Work Schedule: Hybrid ...

Full Stack Engineer

Chicago, IL · On-site

$65 - $75/hr

Senior Full Stack Software Engineer Industry: Hospitality Location (City, State): Chicago, IL Assignment Type: Contract through the end of the year Pay: $65/hr - $75/hr W2 Work Schedule: Hybrid ...

Full Stack Product Engineer Remote/Onsite: Onsite 2-3 days per week in Chicago Pay: $60/hr - 65/hr Required Tech/Experience (Manager won't consider candidates without the following): * React * Node

... learning. We offer quality career resources, training, certifications, development opportunities ... UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on ...

The University of Chicago's TMW Center for Early Learning + Public Health is seeking a Senior Full Stack Engineer to join their engineering team. The role focuses on backend development within a ...

To keep pace, we need a hands-on Full Stack Engineer who loves building scalable systems , shipping ... diving in and learning quickly.) Frontend: Vue.js, React + Next.js Backend: FastAPI Data

ABOUT THE ROLE We are looking for a Full Stack Engineer to build and maintain features across a ... learning budget - Competitive compensation : get recognition that reflects your skills and impact ...

Showing results 41-60

Executive Full Stack Machine Learning Engineer information

See Chicago, IL salary details

$45.8K

$138.8K

$196.2K

How much do executive full stack machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for executive full stack machine learning engineer in Chicago, IL is $138,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $162,800.00 per year, depending on experience, location, and employer.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Chicago, IL?

The most popular types of Full Stack Machine Learning Engineer jobs in Chicago, IL are:

Infographic showing various Executive Full Stack Machine Learning Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $138,833 per year, or $66.7 per hour.

Full Stack Engineer

DataDelivers LLC

Schaumburg, IL • On-site

$115K - $130K/yr

Full-time

Re-posted 17 days ago


Job description

Full Stack EngineerProduct Strategy & Technology Team (PST)Reports to: Director of Product Development.Location: Schaumburg ILHybrid schedule (in office Monday, Tuesday, Thursday). The Full Stack Engineer works alongside other developers on the Product Strategy & Technology (PST) team to build, maintain, and improve DataDelivers' core CDP product. This role owns feature delivery, bug resolution, and production maintenance across the full stack, working within our AWS environment to keep the product roadmap on schedule.The Full Stack Engineer brings hands-on proficiency in React, Python, and SQL, along with the ability to read, navigate, and improve an existing codebase. This is a hands-on delivery role suited to someone early in their full stack career who is ready to contribute across the front end, back end, and cloud infrastructure. ResponsibilitiesDesign, build, and maintain features for the DataDelivers CDP product across the front end (React) and back end (Python, REST APIs)Troubleshoot and resolve bugs and production issues promptly to keep roadmap timelines on trackConsume and/or develop RESTful APIs, integrating with internal and third-party servicesWrite, debug, and optimize SQL queries for data access, reporting, and application supportRead, navigate, and extend the existing codebase while following established coding standardsDeploy and support applications hosted in AWS across technology stack.Use Git for version control and participate in basic CI/CD processesCollaborate with teammates, product owners, and other stakeholders to translate requirements into working solutionsMaintain clear documentation for code, features, and processesParticipate in peer code reviews and contribute to continuous improvement of team engineering practices QualificationsBachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience2-3 years of professional full stack development experienceHands-on experience with AWS, particularly Athena, S3, DynamoDB, API Gateway, Amplify, and CloudFrontProficiency with React, including components, hooks, and state managementExperience with Python for scripting, APIs, or backend servicesStrong SQL skills - querying, data modeling, and debuggingExperience consuming and/or developing REST APIsFamiliarity with Git and basic CI/CD practicesDemonstrated ability to read, navigate, and improve an existing codebaseAbility to work well with people from different disciplines and varying degrees of technical experienceExperience with TypeScriptFamiliarity with data pipelines or ETL processesSoft Skills & Work Style Detail-oriented and QA-minded, with a focus on outcomes; comfortable catching edge cases and validating that a fix or feature actually works before calling it doneDesign-forward; able to execute against a design vision and collaborate closely with the design team to ship polished, on-brand user experiencesSelf-directed and comfortable owning well-scoped bugs and small feature work independently, with minimal day-to-day oversightClear written communicator, including keeping Jira tickets well-documented (status, comments, and linked work) so progress is visible without a status-check conversationAble to own the full lifecycle of small-to-medium work independently, from design handoff through development, testing, and production deployment, with limited support