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

Relativity

Principal Applied Scientist

Milwaukee, WI · On-site +1

$134K - $202K/yr

Posting Type Remote/Hybrid Job Overview At Relativity, we build technology that helps people ... Required Skills Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python ...

ABB

OEM Sales Director-Machinery

New Berlin, WI · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Advicent Solutions

Software Developer II

Milwaukee, WI · On-site +1

The ideal candidate will combine their technical expertise with a passion for learning and working in a team-based environment. This position has the option to work remotely from anywhere, or from ...

Children's Wisconsin

Data Analyst III

Milwaukee, WI · Remote

Remote, with a preference for local candidates near Milwaukee for occasional onsite meetings. What you will do: This customer facing position will support information management initiatives at CW.

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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 Jul 14, 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 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 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 July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 24% Part Time, 4% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $41,955 per year, or $20.2 per hour.
Principal Applied Scientist

Principal Applied Scientist

Relativity

Milwaukee, WI • On-site, Remote

$134K - $202K/yr

Full-time

Posted 2 days ago

Job description

Posting Type

Remote/Hybrid

Job Overview

At Relativity, we build technology that helps people uncover the truth in complex data. Our software (SaaS) empowers legal professionals, governments, and organizations around the world to navigate high stakes matters with confidence, clarity, and integrity. By combining advanced AI, powerful analytics, and cloud-based technology, we help teams make sense of massive volumes of information and move critical work forward faster and more accurately. Every role at Relativity contributes to creating scalable, secure, and intelligent solutions with real-world impact-while fostering a culture where curiosity, collaboration, and inclusion thrive and where employees help shape the future of legal technology.

Department Description

The AI and Applied Sciences department at Relativity drives innovation by developing advanced AI solutions and applied research to solve complex legal and compliance challenges.

Job Summary

The Legal Data Intelligence SME will bring expertise as a practicing litigator and deep knowledge of discovery. You'll draw on this expertise to help us build and evaluate our key generative AI capabilities. You'll interface with other litigators, both helping us explain how our technology operates to them and taking their feedback and providing it back to our applied science team, conveying the nuances of both the technology and the needs of the litigator persona as you do so. This role bridges legal expertise with technical innovation, guiding the design and deployment of solutions that optimize data intelligence for legal workflows.

Job Description and Requirements Job Responsibilities
  • Contribute to Relativity applied science strategy by leveraging your subject matter expertise to design, build and improve our tests, benchmarks, and other evaluation systems for our generative AI solutions.
  • Work internally with our applied scientists, product managers, designers, engineers, and customer enablement teams to provide internal feedback and suggestions on the enablement, performance, usability, and functionality of our generative AI solutions.
  • Work externally with our clients and our industry to explain how our generative AI systems work and to receive their feedback on the performance of our generative AI in analyzing and classifying documents, identifying information that needs to be protected, and extracting and curating knowledge.
  • Develop and deliver training and documentation for internal teams on legal data intelligence workflows and best practices.
Minimum Qualifications
  • A Juris Doctorate and at least 3-5 years of experience as a practicing attorney; some but not all of this requirement may be satisfied by equivalent experience working for a legal service provider or legal technology vendor.
  • Deep interest in the use of generative AI to responsibly advance the practice of law and access to justice.
  • Strong and clear communicator, able to synthesize and communicate complex technical concepts and results to internal and external audiences.
  • Experience in discovery or legal technology platforms.
  • Experience working with cross-functional teams.
Preferred Qualifications
  • Significant litigation experience and deep understanding of the processes of investigations and litigation, including discovery and pre-trial practice.
  • At least 5 years of experience as a practicing attorney.
  • Strong understanding of the traditional EDRM and broader Legal Data Intelligence use cases and workflows.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between $134,000 and $202,000.

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills

Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language), Reinforcement Learning, Researching, Scientific Writing, Statistical Models, Technical Leadership

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