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Part Time Software Developer Jobs in Wisconsin (NOW HIRING)

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Part Time Software Developer information

See Wisconsin salary details

$48.4K

$112.9K

$167.6K

How much do part time software developer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for part time software developer in Wisconsin is $112,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $131,200.00 per year, depending on experience, location, and employer.

What is a part time software developer?

A Part Time Software Developer is a professional who designs, develops, tests, and maintains software applications while working fewer hours than a full-time employee, typically less than 35-40 hours per week. These developers may work for a single company or take on multiple projects for different clients. Part time roles can offer flexibility for students, parents, or those seeking work-life balance, while still allowing them to contribute technical skills to software development projects.

What does a part time software developer do?

Part-time software developers can be involved in a wide variety of projects and technologies. Depending on the programming languages and frameworks with which you are familiar, you might code and debug anything from mobile applications to network management and monitoring programs. As the complexity and sophistication of computer systems increases, so does the variety of applications software developers can create. As a part-time software developer, your duties and responsibilities require you to design, troubleshoot, test, and deploy applications and systems. Some positions offer flexible schedules and the option to work from home, while others require you to work at the company’s facilities.

What are the key skills and qualifications needed to thrive as a part time software developer, and why are they important?

To thrive as a Part Time Software Developer, you need proficiency in programming languages (such as Python, Java, or JavaScript), a solid grasp of software development principles, and typically a relevant degree or equivalent experience. Familiarity with version control systems like Git, integrated development environments (IDEs), and cloud-based collaboration tools is highly beneficial. Effective time management, problem-solving, and strong communication skills help you deliver quality work efficiently in a flexible or remote setting. These skills and qualities are crucial for meeting project goals, collaborating with teams, and maintaining productivity despite reduced hours.

How do part time software developers typically integrate with full time teams and ongoing projects?

Part-time software developers often collaborate closely with full-time team members by participating in regular stand-up meetings, code reviews, and using project management tools to stay aligned with project goals. They may focus on specific tasks or modules that can be completed within their available hours, but communication is key to ensuring a smooth workflow. While balancing limited hours can be challenging, most teams provide flexibility and clear documentation to support part-time contributors. This integration allows part-time developers to make meaningful contributions without compromising project momentum.

What is the difference between Part Time Software Developer vs Full Time Software Developer?

AspectPart Time Software DeveloperFull Time Software Developer
Work HoursLess than 30 hours/weekTypically 40 hours/week
CredentialsSame as full-time, often includes relevant certificationsSame as part-time, often with more experience
Work EnvironmentFreelance, remote, or flexible settingsOffice or remote, full-time employment
Employer UsageContract or part-time roles in tech companies or startupsPermanent roles in larger organizations or tech firms

Part Time Software Developers typically work fewer hours, often in freelance or contract roles, while Full Time Software Developers work standard hours as permanent employees. Both roles require similar skills and credentials, but differ mainly in hours, benefits, and employment status.

Can you work part-time as a software developer?

Yes, many companies offer part-time software developer positions that allow individuals to work fewer hours than full-time roles. These positions often require skills in programming languages, version control, and software development tools, and may be suitable for students, freelancers, or those seeking flexible schedules.
More about Part Time Software Developer jobs

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For Part Time Software Developer jobs in Wisconsin, the most frequently searched job titles are:

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The top searched job categories for Part Time Software Developer jobs in Wisconsin are:

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Cities in Wisconsin with the most Part Time Software Developer job openings:

Part Time Software Developer jobs near you
Infographic showing various Part Time Software Developer job openings in Wisconsin as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $112,891 per year, or $54.3 per hour.

Senior ML/GenAI Ops Engineer - Milwaukee, WI

Harley-Davidson

Milwaukee, WI • On-site

$103K - $141K/yr

Full-time, Part-time

Medical, Retirement

Re-posted 19 days ago

Job description

Auto req ID: 49054
Title: Senior ML/GenAI Ops Engineer - Milwaukee, WI
Job Function: Digital
Location: JUNEAU
Workplace Category:Onsite
Company: Harley-Davidson Motor Company
Full or Part-Time: Full Time
Shift: SHIFT1
At Harley-Davidson, we are building more than machines. It's our passion and commitment to continue the evolution of this storied brand, and heighten the desirability of the Harley-Davidson experience. To keep building our legend and leading our industry through innovation, evolution, and emotion we need the best and brightest talent. We stand for the timeless pursuit of adventure. Freedom for the soul. Are you ready to join us?
Harley-Davidson Motor Company, founded in a humble Milwaukee backyard shed in 1903, still calls the city home. Today, its Corporate Campus includes a 4.8-acre public park-a welcoming greenspace open to all. Join our team as a Sr Data Engineer.
Job Summary:
We are looking for a skilled Sr. Data Engineer - ML & AI Operations to join our growing team. In this role, you will be responsible for designing, developing, and deploying & operationalizing machine learning and generative AI (GenAI) platforms to deliver high-impact solutions to business challenges and optimize processes. This role focuses on the operationalization and automation of machine learning and AI solutions, ensuring they are seamlessly integrated into production environments with a high degree of scalability, reliability, and compliance with ethical guidelines.
The ideal candidate will bring strong technical expertise in data engineering, a deep understanding of ML and AI DevOps best practices, and a commitment to building robust, maintainable systems. You will lead the design, development, and scaling of data pipelines, ML infrastructure, and AI production systems that power models used across the business. If you are passionate about creating and operationalizing transformative ML and AI solutions, we'd love to hear from you!
Key Responsibilities:
Platform Design & Development:
  • Design, develop, and maintain scalable platforms for machine learning and GenAI, supporting end-to-end processes from data ingestion to model deployment and monitoring.
  • Lead end-to-end solution design for ML/AI data pipelines and model-serving platforms, ensuring architectures meet scalability, reliability, and regulatory requirements.
  • Partner closely with project and program managers to establish delivery timelines, resource plans, and milestone tracking for complex, multi-team data/ML efforts.
  • Champion best practices for reproducibility, automation, observability, and governance/COE in ML/AI operational pipelines and platforms.
  • Oversee compute governance, alert monitoring and model lifecycle.

Model Deployment & Automation:
  • Implement CI/CD pipelines for automated deployment of ML and AI models to production environments.
  • Work closely with data scientists to ensure model readiness and optimization, focusing on robust deployment and monitoring.
  • Develop and manage tools for continuous monitoring and performance management of models post-deployment to identify and resolve performance drift.

Collaboration and Business Alignment:
  • Partner with data scientists, software engineers, product owners, and stakeholders to align ML and AI solutions with business goals and performance metrics.
  • Facilitate seamless integration of ML/AI systems with business processes, ensuring data accessibility, quality, and real-time insights.

Operationalization & Maintenance:
  • Ensure systems are built for scalability, maintainability, and security, adhering to best practices in ML & AI DevOps.
  • Implement monitoring solutions to proactively address any issues in data, model performance, or infrastructure.
  • Drive architectural reviews, design decisions, and engineering standards that support long-term operational excellence for ML/AI workloads.
  • Serve as the primary technical escalation point for delivery risks and system performance issues, ensuring timely resolution and stakeholder alignment.

Ethics and Compliance:
  • Integrate AI ethics and compliance considerations into all ML/AI solutions, with a focus on data privacy, bias detection, and model transparency.
  • Implement processes to meet regulatory requirements and promote responsible AI use.

Education Requirements:
  • High School Diploma or Equivalent Required
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Machine Learning, or a related field is preferred

Experience Requirements:
  • 7+ years of experience in data engineering or DevOps roles, with a focus on ML/AI platforms and infrastructure.
  • Proven experience in operationalizing and automating ML and GenAI solutions in production environments.
  • Strong experience with cloud platforms (AWS, Azure, GCP) and managing infrastructure for data and machine learning systems
  • Azure AZ-900 certification, with additional ML/LLM/RAG focused certifications preferred.

Technical Skills:
  • Proficiency in Azure Cloud Platform, specifically Azure ML Studio and Azure AI Foundry
  • Proficiency in Python, SQL, and ML/AI DevOps tools (e.g., MLflow, scikit learn, PyTorch, Kubeflow, TensorFlow Extended).
  • Experience with CI/CD tools (e.g., Jenkins, GitLab CI) and containerization/orchestration tools (Docker, Kubernetes).
  • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data pipeline tools (e.g., Apache Airflow, dbt).
  • Proficiency with vector databases, LLM workflows, or RAG pipelines.
  • Familiarity with cost management, autoscaling, and GPU governance in Azure ML.
  • Experience with data governance frameworks and security best practices.

Key Skills and Competencies
  • Technical Acumen: Strong knowledge of ML/AI lifecycle management, MLOps practices, and data pipeline optimization.
  • Collaboration & Communication: Excellent teamwork skills with an ability to work closely with cross-functional teams and communicate complex technical concepts effectively. Help influence alignment across teams.
  • Problem-Solving: Proactive approach & proven ability to identifying and solve issues in model performance, data quality, and infrastructure bottlenecks.
  • Ethics and Compliance: Deep understanding of responsible AI practices, including bias detection, explainability, and data privacy.
  • Governance & Data Integrity: Ability to enforce data privacy, lineage, and data quality controls across ML workflows, ensuring compliance with enterprise and regulatory requirements.

The pay range shown represents the national average pay range for this role. Your pay may be more or less than the stated range and is dependent on your geographic location and level of experience.
We offer an inclusive compensation package for all full-time salaried employees including, but not limited to, annual bonus programs, health insurance benefits, a 401k program, onsite fitness centers and employee stores, employee discounts on products and accessories, and more. Learn more about Harley-Davidson here.
Applicants must be currently authorized to work in the United States.
Direct Reports: No
Travel Required: 0 - 10%
Pay Range: 100,200 155,400
Visa Sponsorship: This position is not eligible for visa sponsorship or visa transfer
Relocation: This position is eligible for domestic relocation assistance (within posted country)

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