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Afternoon Full Stack Machine Learning Engineer Jobs in Chicago, IL

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 ...

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

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 ...

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 ...

Full Stack Developer, Chicago, IL Hiring a Full Stack Developer now! Urgent need! Looking for multiple experienced Full Stack Java Developers to work for a renowned global organization.

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Our products are delivered with a full monitoring solution to ensure our products continue to ...

Full Stack Engineer

Chicago, IL · Hybrid

$160K - $180K/yr

Summary We are hiring a Full Stack Engineer to build production applications, APIs, leveraging the existing application platform and frameworks, together with the cutting-edge AI framework (Agentic ...

Hardware Machine Learning Engineer

Chicago, IL · On-site

$127K - $167K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

We engineer our products from start to finish and manufacture them in-house. We're known for low ... and machine learning, cybersecurity, signals intelligence and more. We can't tell you much more ...

Showing results 41-60

Afternoon Full Stack Machine Learning Engineer information

See Chicago, IL salary details

$45.8K

$138.8K

$196.2K

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

As of Aug 11, 2026, the average yearly pay for afternoon 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 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:
What job categories do people searching Afternoon Full Stack Machine Learning Engineer jobs in Chicago, IL look for? The top searched job categories for Afternoon Full Stack Machine Learning Engineer jobs in Chicago, IL are:

Full Stack Engineer

Addison Group

Chicago, IL • On-site

$65 - $75/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 21 days ago


Job description

Job Title: 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 schedule with 2-3 days onsite work in Chicago

Benefits: This position is eligible for medical, dental, vision, and 401(k).

Job Description:

We are seeking an experienced Full Stack Software Engineer to design, build, deploy, and support modern cloud-based applications. This role requires a true full-stack developer who is equally comfortable creating responsive user interfaces and developing the backend services that power them.

The selected engineer will take ownership of complete application features, including front-end development, API and service-layer engineering, cloud infrastructure, testing, deployment, and production support. Candidates whose experience is primarily limited to backend API development will not be the right fit.

This is a highly visible initiative involving frequent collaboration with other technology and business teams. Candidates must be located in the Chicago area and comfortable working onsite in a hybrid capacity.

Key Responsibilities:

  • Design and deliver end-to-end cloud applications using React, TypeScript, Node.js, Java, and AWS technologies.
  • Build responsive, accessible, and maintainable user interfaces using React, HTML, CSS, and modern JavaScript or TypeScript.
  • Develop reusable front-end components and manage application state, rendering behavior, and user interactions.
  • Create and support backend APIs, serverless services, and application integrations.
  • Own full-stack features from initial design and prototyping through development, testing, deployment, and production support.
  • Implement cloud-native solutions using a serverless-first and managed-services-first approach.
  • Develop solutions using AWS services such as Lambda, API Gateway, S3, CloudFront, SQS, EventBridge, and DynamoDB.
  • Define and maintain cloud infrastructure through Infrastructure-as-Code tools such as Terraform, CloudFormation, or Serverless Framework.
  • Create clean, reusable, well-tested code that follows established software engineering standards.
  • Maintain automated build, testing, and deployment pipelines using Git, Jenkins, GitLab, or comparable CI/CD tools.
  • Partner with UX designers and product managers to convert business and user requirements into functional digital experiences.
  • Collaborate with backend, infrastructure, security, operations, and business teams on highly visible initiatives.
  • Support application modernization and cloud migration efforts by refactoring legacy systems and integrations.
  • Participate in architecture reviews, technical planning, code reviews, and Agile development ceremonies.
  • Troubleshoot complex application and production issues across both front-end and backend systems.
  • Mentor other engineers and help establish development standards and reusable technical patterns.
  • Use analytics, production insights, and user feedback to improve application functionality and performance.

Qualifications:

  • At least 8 years of professional experience developing full-stack software applications.
  • Demonstrated experience building complete user-facing applications—not solely backend services or APIs.
  • Strong hands-on experience developing modern web interfaces using React and TypeScript or JavaScript.
  • Advanced knowledge of React concepts such as hooks, functional components, component composition, context, state management, and rendering lifecycles.
  • Strong experience with HTML and CSS.
  • Extensive backend development experience using Java, Go, Node.js, TypeScript, or JavaScript.
  • Proven experience designing and integrating RESTful APIs and distributed services.
  • Strong knowledge of AWS cloud architecture and serverless application development.
  • Experience with AWS services such as Lambda, API Gateway, S3, CloudFront, SQS, EventBridge, DynamoDB, ECS, or Fargate.
  • Experience with event-driven, service-oriented, and microservices-based architectures.
  • Hands-on experience with Git and automated software build and deployment tools.
  • Experience building or maintaining CI/CD pipelines using Jenkins, GitLab, or similar technologies.
  • Experience with Infrastructure-as-Code tools such as Terraform, CloudFormation, or Serverless Framework.
  • Familiarity with Docker and containerized application environments.
  • Experience supporting production applications and resolving issues across the full technology stack.
  • Strong communication skills and the ability to work directly with technical and nontechnical stakeholders.
  • Strong troubleshooting, analytical, and problem-solving abilities.
  • Experience working in an Agile software development environment.

Preferred Qualifications:

  • Experience with Snowflake, Redshift, DB2, DynamoDB, or other cloud and relational database technologies.
  • Understanding of dimensional modeling and modern data architecture concepts.
  • Experience with Snowpark Container Services.
  • AWS certifications such as Solutions Architect, Developer, or DevOps Engineer.
  • Snowflake certification.
  • Bachelor’s degree in computer science, engineering, information systems, or a related discipline; equivalent professional experience may also be considered.

Additional Details:

  • Candidates must be local to the Chicago area and able to work onsite in a hybrid capacity.
  • The project is highly visible and requires significant collaboration with multiple business and technology groups.
  • Candidates must demonstrate genuine hands-on ability across both front-end and backend development.
  • The interview process will include technical evaluation of the candidate’s individual coding knowledge and communication skills.
  • Candidates should be prepared to discuss specific applications and user interfaces they personally designed and developed.
  • Background check required before the start date.
  • Fast-moving interview process with an anticipated start within approximately two weeks.

Perks:

  • Opportunity to own complete application features across the user interface, backend, cloud infrastructure, and deployment lifecycle.
  • Work with modern technologies including React, TypeScript, Java, Node.js, AWS, Terraform, and serverless architecture.
  • Contribute to a highly visible digital initiative with exposure across multiple areas of the organization.
  • Collaborate closely with product managers, designers, architects, engineers, and business stakeholders.
  • Gain hands-on experience with cloud modernization, event-driven systems, and enterprise-scale applications.
  • Opportunity to provide technical leadership and influence engineering standards and architecture decisions.