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Remote Full Stack Machine Learning Engineer Jobs in Downers Grove, IL

Huntington

Senior Full Stack Developer

Chicago, IL · On-site +1

$70K - $140K/yr

Senior Full Stack Developer - In this senior role, the successful candidate will Design, Develop ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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All JobsFull Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in Downers Grove, IL

Remote Full Stack Machine Learning Engineer information

See Downers Grove, IL salary details

$44.4K

$134.5K

$190.1K

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

As of Aug 19, 2026, the average yearly pay for remote full stack machine learning engineer in Downers Grove, IL is $134,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $157,600.00 per year, depending on experience, location, and employer.

What is a remote full stack machine learning engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote full stack machine learning engineer?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.

What are some common challenges faced by remote full stack machine learning engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Downers Grove, IL?

For Remote Full Stack Machine Learning Engineer jobs in Downers Grove, IL, the most frequently searched job titles are:

What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Downers Grove, IL look for?

The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Downers Grove, IL are:

What cities near Downers Grove, IL are hiring for Remote Full Stack Machine Learning Engineer jobs?

Cities near Downers Grove, IL with the most Remote Full Stack Machine Learning Engineer job openings:

Remote Full Stack Machine Learning Engineer jobs near you
Infographic showing various Remote Full Stack Machine Learning Engineer job openings in Downers Grove, IL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $134,457 per year, or $64.6 per hour.

Full-Stack Application Engineer

System One

Schaumburg, IL • Remote

$105K/yr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 13 days ago

Job description

Job Title: Full-Stack .NET Application Engineer Location: Schaumburg, Illinois Type: Contract To Hire Compensation: $105,000 annual Work Model: Hybrid – onsite and remote Hours: 40.0:

Responsibilities • Design, develop, and maintain full-stack applications using .NET / .NET Core, C#, RESTful APIs, and modern UI frameworks, primary focus on backend development (~60%) and significant frontend responsibilities (~40%) • Maintain and enhance existing ELD(Executive Liability Division) applications, frameworks, and shared libraries • Design and implement new features aligned with ELD(Executive Liability Division) business processes and workflows • Troubleshoot production issues and provide ongoing application support • Ensure compliance with security, performance, and architectural standards • Contribute to modernization initiatives, including framework evolution and technical debt reduction • Collaborate with cross-functional teams to define, design, and deliver high-quality solutions • Participate in code reviews, testing, CI/CD, and deployment processes

Requirements • Strong experience with .NET / .NET Core and C# • Hands-on experience with Entity Framework Core (EF Core) and ORM best practices • Proven experience designing and developing RESTful APIs and microservices architectures • Solid understanding of object-oriented programming (OOP), design patterns, and clean architecture principles • Experience with SQL Server or other relational databases, including query optimization, indexing, and stored procedures • Familiarity with authentication and authorization mechanisms (OAuth, JWT, identity frameworks) • Experience with modern JavaScript frameworks (Angular, React, Vue, etc.) • Angular strongly preferred; candidates without Angular experience must demonstrate ability to ramp quickly • Strong proficiency in: TypeScript, JavaScript (ES6+), HTML5, CSS3, responsive design principles, component-based UI architectures, familiarity with UI libraries like Angular Material or Bootstrap • Modern engineering practices including using Git, CI/CD pipelines, containerization (Docker), and cloud platforms (Azure preferred) • Exposure to or experience with AI-assisted development tools such as GitHub Copilot is a plus • Ability to work independently and within a team, with strong communication skills • Knowledge of microservices, distributed systems, event-driven architectures, and API gateways is a plus • Prior experience in insurance or underwriting systems and legacy system modernization initiatives is desirable

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

Ref: #861-Cincinnati-S1

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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