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

Pegasus Knowledge Solutions, Inc

Azure MFA Architect

Racine, WI · On-site +1

$59.50 - $77.50/hr

... machine learning and text mining, as well as dashboarding and visualization. Pegasus is focused on ... Contract Job Location: 100% REMOTE WORK (Customer located at Racine, WI) Duration: 12+ Months ...

Evans Transportation Services LLC

Data Engineer

Delafield, WI · On-site +1

$109K - $131K/yr

Experience supporting machine learning or analytics teams in production. Licenses / Certifications ... WORK ENVIRONMENT Work is performed in an office environment, with hybrid/remote flexibility ...

JDA

Sr Technical Architect - Supply chain

Waukesha, WI · On-site +1

$100K - $143K/yr

Dallas, TX ( REMOTE role) Company Overview: Blue Yonder is a global leader in digital supply chain ... AI and Machine Learning for predictive insights and intelligent decision-making. * IoT and Edge ...

The Davis Life Agency

Insurance Agent

Milwaukee, WI · On-site +1

$30K - $160K/yr

... a machine? If you answered YES to any of those questions, please keep reading. How about TODAY ... Remote work and in-person training opportunities available * Potential to earn a raise every 2 ...

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Showing results 41-60

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

Remote Machine Learning information

See Milwaukee, WI salary details

$25.1K

$42K

$86.7K

How much do remote machine learning jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote machine learning in Milwaukee, WI is $41,955.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $45,300.00 per year, depending on experience, location, and employer.

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.

More about Remote Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Milwaukee, WI?

The most popular types of Machine Learning jobs in Milwaukee, WI are:

What are popular job titles related to Remote Machine Learning jobs in Milwaukee, WI?

For Remote Machine Learning jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Milwaukee, WI look for?

The top searched job categories for Remote Machine Learning jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Remote Machine Learning jobs?

Cities near Milwaukee, WI with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Milwaukee, WI as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 23% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $41,955 per year, or $20.2 per hour.

Azure MFA Architect

Racine, WI • On-site, Remote

Pegasus Knowledge Solutions, Inc
IT Services • 201 - 500 employees
Learn more about Pegasus Knowledge Solutions, Incexternal

$59.50 - $77.50/hr

Contractor

Re-posted 10 days ago

Job description

Company Description
Founded in 1997, Pegasus Knowledge Solutions is an independent, advanced analytic software and services organization, that partners with the industry leading providers to help customers create value from their data, bringing a range of talents, including data integration and preparation, big data environments, data mining, predictive analytics, machine learning and text mining, as well as dashboarding and visualization. Pegasus is focused on quality, speed of execution, value and above all, customer satisfaction. Our global solution delivery centers are ISO 9001-2008 and ISMS 27001-2013 Certified.
Job Description
Greetings! ,
Hope! You have a blessed day...
This is Sudhan Rajaram (Talent Acquisition Strategist) from Pegasus Knowledge Solutions Inc.
Position Details:
Job Title: Azure MFA Architect
No. of Positions: 1 Open
Job Type: Contract
Job Location: 100% REMOTE WORK (Customer located at Racine, WI)
Duration: 12+ Months Contract (High Possible Extension)
Customer: Manufacturing
Hourly Rate: $Open/hr C2c all inclusive
Looking for a really strong Azure MFA Architect. Somebody with a strong understanding of Multi Factor Authentication and with Azure Architecture experience.
Expertise Required & Responsibilities:
Seeking a well rounded Sr. resource with expertise in enabling MS Azure MFA for Azure AD user base. Prior experience with handling Multi Factor Authentication systems and escalations is a must have for this role. Candidates should be well versed with features and challenges associated with configurations, authentication methods for implementing MFA.
Qualifications
Looking for a really strong Azure MFA Architect. Somebody with a strong understanding of Multi Factor Authentication and with Azure Architecture experience.
Specific Skills Required:
Required: 12+ years of industry experience with at least 5+ years of Microsoft Azure Architecture experience, Multi Factor Authentication, Azure AD, Active Directory & IAM
Nice to have: Azure SSO, Microsoft ADFS
If interested, Kindly provide the following details:
A short write-up (3 -4 lines high level summary paragraph) with the following:
  1. Experience enabling Azure MFA for Azure Active Directory user base:
  2. MFA systems and handling escalations related to configurations, authentication and implementing MFA:
  3. Done Azure Architecture / Technical documentation and Processes:

  1. Full Name (As per Passport):
  2. Best Contact Number:
  3. Current Location with Full Address:
  4. Last 4 digit SSN:
  5. Currently on Project (Yes/No):
  6. Reason for Job Change:
  7. Availability to Start:
  8. Availability for Interview:
  9. LinkedIn URL:
  10. Education Details (Course, University, Year of Passing):

Interview Process: Phone Interview followed by Skype Interview...
For further communication contact:
Additional Information
All your information will be kept confidential according to EEO guidelines. For further communication reach Sudhan at Direct: 708-719-4062

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