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Remote Full Stack Machine Learning Engineer Jobs in Edwardsville, IL

Senior Software Engineer

Creve Coeur, MO · On-site +1

$104K - $156K/yr

... AI and machine learning at a global level. You will build and deliver critical platform ... remote sensed satellite imagery Implement efficient algorithms and services for diverse and ...

Controls Engineer

Maplewood, MO · Remote

$85K - $110K/yr

Key Responsibilities: * Lead and manage machine design projects from inception to delivery ... Minimum of 7 years of relevant experience, with 7-10 years preferred for full proficiency. * Strong ...

Data Science Tutor

Saint Louis, MO · Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Skilled at teaching the full data science workflow from question formulation through insight ...

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$89K - $121K/yr

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... Experience applying CV and machine learning (ML) techniques to EO imagery and data to address ...

HTML Tutor

Saint Louis, MO · Remote

$18 - $40/hr

... full-stack web development skills. * Effective Teaching Methods: Ability to identify concepts ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Remote Full Stack Machine Learning Engineer information

See Edwardsville, IL salary details

$41.8K

$126.4K

$178.7K

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

As of Jun 28, 2026, the average yearly pay for remote full stack machine learning engineer in Edwardsville, IL is $126,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $148,200.00 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 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 the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

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 cities near Edwardsville, IL are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near Edwardsville, IL with the most Remote Full Stack Machine Learning Engineer job openings:

Senior Web Engineer / Developer

Integrity Web Consulting

University City, MO • On-site, Remote

Full-time

Posted 23 days ago


Job description

Company Description
Want to join the leading web development, UX design and digital marketing firm headquartered in the Loop area of St. Louis?
We offer a flexible work from anywhere environment empowering our team to learn daily, have fun and deliver excellence for our clients. Seeking true craftspeople who love to build cool stuff and work with cool people.
We are looking for passionate dev pros who want to learn on a daily basis, take pride in developing highly usable, intuitive web solutions and hope to change the world via technology.
We hire people based upon the H's:
  • Humble - no egos allowed. ever.
  • Hungry - will want to change the world
  • Honest - always do what you say you're gonna do
  • Happy - a zest for life and desire to delight our clients

Feel free to review our employee handbook - http://bethething.com/IntegrityWay.pdf
NON-smokers only.
NO OFFSHORE FIRMS or APPLICANTS, please.
Job Description
Join a team of experienced professionals crafting effective web solutions for clients ranging from Silicon Valley start-ups to Chicago private equity firms to Nashville healthcare companies to leading local St. Louis firms.
Integrity's Developers partner with user experience designers, digital marketers and content strategists to solve challenging problems for our clients by designing/developing world-class web-based solutions - including custom web applications, iOS mobile apps and Android mobile apps.
Qualifications
We hire to character and train to skills, but the ideal team member will have experience with most of the following:
  • Strategic thinker with exceptional soft skills
  • Passion for quality code
  • Desire to learn daily
  • Fearless problem solver
  • Believes this is a craft, not just a job
  • Node.js, advanced Javascript, react.js, full stack if possible
  • PHP (Zend, Symfony, Codeigniter) or other MVC framework
  • Experience with web CMS such as WordPress, Drupal or DNN
  • LESS, SASS, etc.
  • Excellent verbal and written communication skills
  • Enjoy a highly collaborative work environment
  • Desire and ability to learn on a daily basis
  • Firm understanding of object-oriented programming
  • Git, SVN or other version control system
  • HTML, JavaScript, CSS, JSON experience
  • Ability to write unit tests
  • Experience with continuous integration

Additional Information
Must have a passion for all things web, learning every day and working with the most creative, technical, awesome team.
Will likely love shows at the Pageant, Red Bull or American Honey.
Offshore firms and recruiters DO NOT APPLY.