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Remote Full Stack Machine Learning Engineer Jobs in Wisconsin

Senior AI/ML Engineer

Watertown, WI ยท On-site +1

$99K - $136K/yr

... full method spectrum, from classical statistics and operations research through machine learning to ... Feature-engineering and data preprocessing for both structured farm data and unstructured sources.

Senior AI/ML Engineer

Watertown, WI ยท On-site +1

$99K - $136K/yr

... full method spectrum, from classical statistics and operations research through machine learning to ... Feature-engineering and data preprocessing for both structured farm data and unstructured sources.

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Showing results 41-60

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, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Software Development Engineer

Madison, WI โ€ข On-site, Remote

Yahara Software
Software Developmentย โ€ขย 11 - 50 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Job description


Software Development Engineer

We're looking for exceptionally talented Software Development Engineers who are passionate about solving real-world problems and making a measurable difference. If this sounds like you, we'd love to talk to you about immediate and future needs!

Join a team recognized as one of Madison Magazine's Best Places to Work, where innovation thrives, collaboration drives success, and we don't just build software - we empower people and transform industries.

Important Notes about this Position:

  • This position offers remote work flexibility but is only open to candidates who reside in or are willing to relocate to the greater Madison, WI area.
  • We are unable to provide sponsorship at this time.


Summary

The Software Development Engineer (SDE) is responsible for building and enhancing solutions within an existing codebase, with a focus on delivering value across biohealth, transportation, and public health sectors. The SDE works closely with clients to understand their needs and implement solutions on full-stack technologies. They will also serve as expert technical consultants on assigned client projects. This position operates chiefly in an agile environment and requires strong collaboration with project teams.

Our Approach

At Yahara, we build on a foundation of strong software engineering fundamentals-robust development methodologies, rigorous testing practices, and sound architectural principles. We stay current with emerging technologies, thoughtfully integrating AI/ML tools where they enhance our development workflow and accelerate delivery, while ensuring that critical thinking, proper problem decomposition, and engineering discipline remain at the core of everything we build. We retain responsibility for quality, accuracy, and understanding of our work.

What You'll Do:

  • Develop new solutions and features within our existing codebase to meet client requirements.
  • Implement full-stack solutions across both front-end and back-end technologies.
  • Participate in Agile workflow practices, including backlog grooming and ticket pointing, stand-ups, sprint planning, and retrospectives - evaluating project successes, challenges, and opportunities for improvement.
  • Engage in code reviews by peer reviewing and providing constructive feedback to team members.
  • Professionally demonstrate completed work to clients, ensuring satisfaction and alignment with expectations.
  • Collaborate with technical leadership to serve as an expert consultant on assigned client projects, providing guidance and recommendations beyond day-to-day development work.
  • Work with containerized development solutions using Docker and Docker-Compose.
  • Evaluate and integrate third-party tools and frameworks for suitability within projects.
  • Collaborate closely with other Developers and supporting team members to deliver high-quality solutions.
  • Continuously learn and adopt new technologies, applying them creatively to solve client challenges.
  • Develop comprehensive technical documentation to facilitate future software development and maintenance.
  • Perform data analytics and build predictive models to extract insights from complex datasets and support data-driven decision making.
  • Design, train, and deploy machine learning models to solve business problems and improve system capabilities.

What You'll Bring

Experience & Education:

  • 3-10 years of Software Development experience.
  • Bachelor's, Associate's or higher degree in Computer Science or related discipline (or equivalent experience).
  • Strong background in a variety of software design and development concepts as they apply across the software development lifecycle.

Mindset & Approach:

  • Self-starter with a passion for software development and desire to develop quality solutions within a collaborative development environment.
  • Strong critical thinking and problem-solving skills, with the ability to break down complex requirements, recognize blockers, and apply innovative solutions.
  • Enthusiastic about emerging technologies with proven ability to integrate innovative solutions into existing systems.
  • Demonstrated ability to work independently on technical tasks of growing complexity.
  • Ability to understand and communicate customers' business requirements.

Technical Background:

  • Direct experience working in an Agile Development Methodology environment.
  • Strong background in object-oriented programming.
  • Experience in biohealth, laboratory systems, or scientific software development is a plus.
  • Valued but not required: Familiarity with regulatory requirements (HIPAA, FDA, GxP) or laboratory workflows.

Specific Technical Qualifications

Core Technologies (in no particular order):

  • Microsoft .NET Framework
  • JavaScript/TypeScript & modern JavaScript Frameworks (React, or similar)
  • Postgres, Microsoft SQL Server, and other relational databases
  • Python and Python frameworks such as FastAPI/Flask
  • Cloud Platforms - Microsoft Azure/Amazon Web Services
  • Web Service/API development
  • Containerization tools (Docker, Kubernetes)

Bonus Skills:

  • Data modeling and schema design
  • Data analysis, statistical analysis or data visualization tools
  • Machine Learning frameworks
  • Model Development & Deployment: building, training, and evaluating models


Company Benefits & Perks

  • 20+ days of PTO accruable in the first year!
  • Comprehensive health insurance (Medical, Dental, Vision) with HMO and PPO options
  • Health Savings Account (HSA) with annual employer contributions
  • 401(k) with guaranteed company match (Traditional and Roth options)
  • 100% company-paid short-term and long-term disability
  • 100% company-paid life insurance with option to increase coverage
  • 100% company-paid identity theft protection
  • On-site gym with basketball court
  • Hybrid/remote schedule with home office stipend
  • Fresh fruit, healthy snacks, and beverages provided daily
  • Bonus certification program (Microsoft, AWS, PMP, IIBA, etc.)
  • Employee Assistance Program (counseling, legal, financial services)
  • Monthly and Quarterly Recognition Awards with spot bonuses
  • Company-supported community outreach and volunteer opportunities
  • Employee-run committee involvement opportunities
  • Collaborative culture founded on realized values and incredible people


If you need an accommodation as part of the employment process, please contact Human Resources via email athradmin@yaharasoftware.com


Yahara Software LLC is an Equal Employment Opportunity/Affirmative Action Employer.

This is a full-time, salaried position with competitive salary and benefits. Candidates must be eligible to work in the U.S. on a permanent basis and can work on-site in our office located in Madison, Wisconsin.