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Remote Full Stack Machine Learning Engineer Jobs in Wisconsin

Senior Software Engineer

Milwaukee, WI · On-site +1

$120K - $158K/yr

Write and maintain production-quality code across the full stack, with particular emphasis on ... Participate in continuous learning and professional development, with particular focus on emerging ...

Supabase Tutor

Milwaukee, WI · Remote

$18 - $40/hr

... and full-stack project development to support developers from Supabase beginners through advanced ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Supabase Tutor

Madison, WI · Remote

$18 - $40/hr

... and full-stack project development to support developers from Supabase beginners through advanced ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Telecom Engineer

Neenah, WI · On-site +1

$45 - $55/hr

They are looking to bring in a contract to hire resource that will be mostly remote, but will need ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Telecom Engineer

Neenah, WI · On-site +1

$45 - $55/hr

They are looking to bring in a contract to hire resource that will be mostly remote, but will need ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

$136K - $182K/yr

About this Role Reporting to the Engineering Manager, the Principal Software Engineer works in a ... A high degree of proficiency in building full-stack web systems, in both dynamic and highly cached ...

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Remote and flexible schedule - we are a remote company with hybrid options and support for flexible ...

Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ... Microsoft Foundry, Azure Cognitive Services, Azure Machine Learning Erfahrung in der Entwicklung ...

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Remote Full Stack Machine Learning Engineer information

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 Wisconsin?

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

What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Wisconsin look for?

The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Remote Full Stack Machine Learning Engineer jobs?

Cities in Wisconsin with the most Remote Full Stack Machine Learning Engineer job openings:

Infographic showing various Remote Full Stack Machine Learning Engineer job openings in Wisconsin 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.

Quality Assurance Engineer - Automated

SafeNet Consulting

Milwaukee, WI • On-site, Remote

Full-time

Re-posted 18 days ago


Job description

QA Automated Engineer I

SafeNet Consulting is searching for a Quality Assurance Engineer with a strong automated testing background.

This position will start remote and move to onsite in Milwaukee once stay-at-home is over.

**We will only consider direct hire, no third-party candidates will be considered for this client.**

As a technical, hands-on Test Engineer, your job is to participate in the manual and automation testing of various web-based projects that integrate over various systems, including: cloud-based and on-prem proprietary applications, Microsoft Outlook, mobile applications, DocuSign, and complex API and service-based integrations.


QA Engineer will be under the guidance of a Test Engineering Manager for a team with an already-established, mature testing process. Your role will be that of a “full-stack” Test Engineer - someone who has a strong appreciation and skill in manual/exploratory testing with the exceptional capability of writing automated and performance tests (time and training is allotted after hiring to learn our automation framework and language of choice – node.js).

What this role needs:

• Deep quality assurance experience and a passion for delivering high quality software.

• Proven examples of building automation frameworks and scripts.

• Working proficiency of at least one programming language.

• Experience using Selenium (or similar open source testing tools).

• Can move quickly and independently. Everyone here is incredibly kind and extremely willing to share knowledge and a helping hand, but you have to be willing to take ownership of the outlined goals and make things happen.

• 4+ years of experience is required.

• Needs to be comfortable with both manual and automation testing.

• We work in a Mac environment, so having Mac experience is a plus but having the ability to adapt quickly will suffice.

Desirable skills for this role:

• Understanding of Node.js, NPM Scripting, Selenium and Webdriver.io to work on our end-to-end, API and performance testing framework.

• Understanding of Git version control including branch strategy. Familiarity with GitLab, GitLab CI, Docker and Jenkins for CI/CD is preferred but not required.

• Familiarity with static code analysis, including JavaScript coding standards and linting of code. SonarQube, Checkmarks, or other static code analysis tooling experience is preferred but not required.

• Ability and confidence to peer-review code for quality, cleanliness, and general best practices.

• Understanding of client/server applications and microservice architecture, and the ability to test highly-complex integrated systems and data.

• Experience with using Fiddler or Wireshark, Postman, Browser DevTools, CLIs. Any similar experience is acceptable for manual testing and analysis needing to be performed in the role.

• Desire to work closely with an agile development team, but also collaborate regularly with other test engineers across projects to mature testing practices.