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Remote Full Stack Machine Learning Engineer Jobs in Racine, WI

... 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 ...

AI Automation Engineer -Remote

Milwaukee, WI · On-site +1

$202K - $234K/yr

... full-stack development with strong skills in Python, React and JavaScript * Excellent debugging ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

AI Automation Engineer -Remote

Racine, WI · On-site +1

$202K - $234K/yr

... full-stack development with strong skills in Python, React and JavaScript * Excellent debugging ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

AI Automation Engineer -Remote

Kenosha, WI · On-site +1

$202K - $234K/yr

... full-stack development with strong skills in Python, React and JavaScript * Excellent debugging ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Lawyer - Remote

Milwaukee, WI · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

Lawyer - Remote

Kenosha, WI · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

Attorney - Remote

Milwaukee, WI · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

Attorney - Remote

Kenosha, WI · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

Law Professor - Remote

Milwaukee, WI · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

Law Professor - Remote

Kenosha, WI · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

... remote position. Application Deadline This position is anticipated to close on Jun 18, 2026. About ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Senior AI Engineer

Brookfield, WI · Remote

$97K - $134K/yr

... AI stack (Azure AI Foundry / Azure OpenAI Service, Azure Machine Learning where applicable ... Partner with Data Engineering to ensure centralized, AI-ready data foundations in the Microsoft ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

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Remote Full Stack Machine Learning Engineer information

See Racine, WI salary details

$41.7K

$126.4K

$178.6K

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

As of Jun 20, 2026, the average yearly pay for remote full stack machine learning engineer in Racine, WI is $126,371.00, 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 Racine, WI are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near Racine, WI with the most Remote Full Stack Machine Learning Engineer job openings:
Vice President, Data Architecture and Engineering (Remote)

Vice President, Data Architecture and Engineering (Remote)

KOHLS

Menomonee Falls, WI • On-site, Remote

$180K - $232K/yr

Other

Posted 24 days ago


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,438 frontline employees who took The Breakroom Quiz

12th of 21 rated department stores


Job description

About the Role

The VP, Data Architecture and Engineering is accountable for the vision, strategy, and execution of the enterprise data platform and engineering capabilities that enable business growth, operational efficiency, and customer centric innovation. This leader partners closely with business and technology teams to elevate data into a durable and scalable enterprise asset. In alignment with the VP of A.I and Transformation, who defines enterprise A.I strategy and prioritizes business use cases, this role owns the data architecture, platforms, and engineering foundations required to operationalize, scale, and reliably run A.I solutions in production across the enterprise.

What You’ll Do

  • Define and own the data product and technical data science strategy, aligning with enterprise technology and business priorities

  • Lead the design, development, and lifecycle management of data products that support business operations, customer insights, and innovation

  • Build and scale data science capabilities, including machine learning, AI-driven solutions, and advanced analytics to optimize retail operations and customer engagement

  • Partner with business units, analytics, engineering, and product management to prioritize high-value use cases for both data products and data science applications

  • Oversee data governance, stewardship, and metadata management to ensure accuracy, compliance, and trust

  • Champion modern data and AI architectures, including cloud-native platforms, APIs, data streaming services, and real-time analytics

  • Drive data democratization, ensuring business users can easily discover, access, and leverage insights

  • Foster a product mindset and a research-to-production pipeline for data science solutions, ensuring scalability and usability

  • Manage, mentor, and grow a high-performing team of data product managers, architects, engineers, and data scientists

  • Define and monitor KPIs for both data products and data science initiatives, ensuring outcomes translate into tangible business impact

  • Represent data strategy at the executive level, influencing enterprise decisions and advocating for innovation

  • Additional tasks may be assigned

What Skills You Have

Required

  • 12+ years of experience in data leadership roles, including data product management, data platforms, and data science

  • Proven track record of building and scaling data products and machine learning/AI solutions in large, complex organizations

  • Strong expertise in modern data and AI/ML architectures, including cloud platforms (AWS, GCP, or Azure), data lakes/warehouses, and governance frameworks 

  • Exceptional executive communication and stakeholder management skills, with the ability to influence across business and technology functions

  • Demonstrated success in leading cross-functional teams spanning data science, engineering, and product management


What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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