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Remote Machine Learning Engineer Jobs in Milwaukee, WI

micro1 AI

AI Trainer - Microbiology Expert

Kenosha, WI · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Milwaukee, WI · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Varsity Tutors

Python Tutor

Milwaukee, WI · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Design and implement scalable machine learning models and LLM-based solutions. * Apply NLP techniques and prompt engineering to build conversational and generative AI systems. * Develop APIs using ...

Carter Machinery

SUPPLIER QUALITY ENGINEER

Milwaukee, WI · On-site +1

$86K - $97K/yr

At Carter Machinery, we don't just offer jobs - we offer long-term careers defined by purpose ... Shift differential (if applicable) You'll gain access to real learning, real advancement, and a ...

Varsity Tutors

Linear Algebra Tutor

Milwaukee, WI · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Imagine Learning

Virtual Teacher

Milwaukee, WI · On-site +1

Health Science, Engineering, Criminal Justice, Chinese ***Imagine Learning is accepting ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Imagine Learning

Virtual Teacher

Milwaukee, WI · On-site +1

$44K/yr

Health Science, Engineering, Criminal Justice, Chinese ***Imagine Learning is accepting ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Pegasus Knowledge Solutions, Inc

Azure MFA Architect

Racine, WI · Remote

$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 ...

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 ...

INNIO

Sales Applications Engineer

Waukesha, WI · On-site +1

$104K - $128K/yr

This position can belocatedanywhere in the United Statesas a remote role.Regionalvicinity of our ... rotating machinery, and power generation segments * Technical and commercial leadership ...

Innio

Sales Applications Engineer

Waukesha, WI · On-site +1

$104K - $128K/yr

This position can belocatedanywhere in the United Statesas a remote role.Regionalvicinity of our ... rotating machinery, and power generation segments * Technical and commercial leadership ...

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Showing results 21-40

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

Remote Machine Learning Engineer information

See Milwaukee, WI salary details

$31K

$126.9K

$190.6K

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

As of Aug 20, 2026, the average yearly pay for remote machine learning engineer in Milwaukee, WI is $126,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $152,700.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

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

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

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

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

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

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

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

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

Remote Machine Learning Engineer jobs near you

AI Trainer - Microbiology Expert

micro1 AI

Kenosha, WI • Remote

$70 - $90/hr

Part-time

Posted 23 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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