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Remote Machine Learning Jobs in Madison, WI (NOW HIRING)

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$115K/yr

This is a remote position. * Candidate must live and work in Wisconsin. * Requires eligibility to work in the United States without sponsorship. At Rural Mutual Insurance, we offer a supportive work ...

i3 Product Development

Software Engineer

Sun Prairie, WI · On-site +1

Continuously expand your skills through varied project work, emerging technologies, and shared learning What We Are Looking For * Bachelor's degree in Computer Science or a related discipline * Five ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Madison, WI

Remote Machine Learning information

See Madison, WI salary details

$25.7K

$42.9K

$88.7K

How much do remote machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote machine learning in Madison, WI is $42,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,700.00 and $46,400.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Madison, WI? The most popular types of Machine Learning jobs in Madison, WI are:
What are popular job titles related to Remote Machine Learning jobs in Madison, WI? For Remote Machine Learning jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Madison, WI look for? The top searched job categories for Remote Machine Learning jobs in Madison, WI are:
What cities near Madison, WI are hiring for Remote Machine Learning jobs? Cities near Madison, WI with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Madison, WI as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,908 per year, or $20.6 per hour.
Data Analyst

Data Analyst

Rural Mutual Insurance

Madison, WI • Remote

$115K/yr

Full-time

Re-posted yesterday

Job description

Rural Mutual Insurance, one of the top 50 property and casualty companies in the nation, has been protecting what we value in Wisconsin for over 90 years and proudly continues that mission today. We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting solutions to drive sound business decision-making. This position requires deep expertise in Power BI, data modeling, and stakeholder engagement, along with the ability to contribute to broader data architecture and engineering initiatives.

  • This is a remote position.
  • Candidate must live and work in Wisconsin.
  • Requires eligibility to work in the United States without sponsorship.


At Rural Mutual Insurance, we offer a supportive work environment, career growth opportunities, and a comprehensive compensation package that includes health, dental, and vision insurance, a matching 401(k), and generous time off. We’ve earned consistent recognition as a Madison Magazine Best Places to Work, and an A+ AM Best financial strength rating. If you're ready to be part of a team that values your expertise and encourages your professional growth, apply today!

Compensation:

$100,000 - $115,000 yearly


Responsibilities:
  • Develop and maintain high-quality reports and dashboards using Microsoft Power BI
  • Gather and analyze technical requirements from stakeholders across the organization
  • Develop and maintain data models to support analytics, reporting, and self-service BI
  • Provide ongoing administration, tuning, and support for Power BI and related tools
  • Establish and promote standards for report design, data modeling, and data visualization
  • Collaborate with cross-functional teams to ensure data integrity, quality, and alignment across systems and reporting solutions
  • Analyze complex datasets to identify trends, risks, and opportunities, delivering actionable insights to business leaders
  • Support and influence data governance, documentation, and data quality initiatives
  • Contribute to the design and evolution of data architecture, including data transformations and pipeline development using tools such as dbt or similar frameworks
  • Mentor and guide less experienced analysts, fostering best practices in BI development and data modeling
  • Stay current with emerging trends and technologies in business intelligence, data engineering, and analytics

Qualifications:
  • Bachelor’s Degree in Computer Science, Information Technology, or related field, or an equivalent combination of education and experience
  • 5+ years of relevant data analyst experience
  • Advanced experience building scalable, insight-driven dashboards and reports using Microsoft Power BI or similar business intelligence tools, including performance optimization and troubleshooting
  • Strong understanding of data visualization best practices, including user experience (UX) design and storytelling with data
  • Experience developing and maintaining standards for report design, performance, and usability
  • Solid knowledge of data modeling techniques, including dimensional modeling and semantic layer design
  • Strong analytical skills with the ability to interpret complex datasets and translate findings into actionable insights
  • Proficiency in SQL for data extraction, transformation, and analysis.
  • Working knowledge of data warehousing concepts, including ETL/ELT processes, data pipelines, and layered data architectures.
  • Experience with data transformation tools (e.g., dbt)
  • Familiarity with cloud-based data platforms (e.g., Azure, AWS, Snowflake)
  • Understanding of version control tools (e.g., Git) and collaborative development practices is a plus
  • Candidate must live and work in Wisconsin
  • Eligible to work in the United States without sponsorship

About Company

What You'll Love About Rural Mutual Insurance:

We are a leading property and casualty insurance company based in Wisconsin, well known for our financial strength and longevity in the insurance industry. Our reputation in the marketplace ensures stability and opens up numerous growth opportunities for our employees.

We created a welcoming place to work with friendly and professional leadership. We are known for the great care we take with our staff, our agents, and our customers. We are passionate and determined about delivering the best customer service, preserving insurance industry knowledge, and making a difference through the work that we do.

We believe in a healthy work/life balance and, to that end, offer a competitive and comprehensive compensation package including health, dental, life, LTD, and vision insurance as well as an employee bonus plan, matching 401(k) plan, and generous time off benefits.