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Remote Machine Learning Engineer Jobs in Milwaukee, WI

Implementation Manager

Milwaukee, WI ยท On-site +1

$80K - $90K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... This is a remote role, based on CT or ET. The ideal candidate should be located within an hour of a ...

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... This is a remote role, based on CT or ET. The ideal candidate should be located within an hour of a ...

Laser Applications Engineer II

Waukesha, WI ยท On-site +1

$85K - $100K/yr

Waukesha, WI (Showroom-based) or Remote (as approved) Compensation: $85,000-$100,000 Position ... Key Responsibilities Customer-Facing Applications Support โ€ข Conduct live machine demonstrations ...

Virtual Teacher

Milwaukee, WI ยท 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 ...

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 ...

Linear Algebra Tutor

Milwaukee, WI ยท Remote

$18 - $40/hr

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

Azure MFA Architect

Racine, WI ยท 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 ...

Azure MFA Architect

Racine, WI ยท 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 ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Sales Applications Engineer

Waukesha, WI ยท 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 ...

Sales Applications Engineer

Waukesha, WI ยท 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 ...

Senior Civil Engineer - Supervisor

Milwaukee, WI ยท On-site +1

$120K - $140K/yr

... learning!" - Civil Engineer * "This is the first company I've worked for with a true ... Hybrid work environment with potential to be fully remote Essential Qualifications: * Bachelor ...

Senior Civil Engineer - Supervisor

Pewaukee, WI ยท On-site +1

$120K - $140K/yr

... learning!" - Civil Engineer * "This is the first company I've worked for with a true ... Hybrid work environment with potential to be fully remote Essential Qualifications: * Bachelor ...

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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 Jun 26, 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 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.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires a strong track record, specialized certifications, and sometimes equity or bonuses as part of compensation packages.

Which 5 jobs will survive AI?

Remote Machine Learning Engineers are likely to continue to be in demand as AI advances, since they develop and maintain AI models and systems. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist. Additionally, roles involving oversight, ethical considerations, and human interaction will remain essential despite automation.

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

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 is a Remote Machine Learning Engineer job?

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.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, and cloud platforms. Remote work arrangements depend on the employer's policies and project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.

Is ML full of coding?

A remote machine learning engineer role typically involves significant coding, especially in languages like Python or R, to develop algorithms and models. However, it also requires understanding data, model evaluation, and sometimes deploying solutions, making coding a core but not the sole component of the job.
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:
Implementation Manager

Implementation Manager

UVeye

Milwaukee, WI โ€ข On-site, Remote

$80K - $90K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Description
At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector.
With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, seaports, and more. Our growing global team of 250+ employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.
We are looking for a highly organized and proactive Implementation Manager to own the post-sales lifecycle for our dealership partners. You will manage the full implementation journey of UVeye's scanning systems, ensuring technical milestones are met and dealership teams are empowered for day-one success. Your mission is to turn complex technical deployments into seamless, value-driven experiences for our clients.
A day in the life and how you'll make an impact:
  • Serve as the primary point of contact for automotive dealership clients from contract signature through installation completion.
  • Host group calls to guide clients through site readiness requirements, including CAD review, network, electrical, and construction requirements.
  • Tracking of client's open deliverables through completion using various internal tools.
  • Provide expertise and hands-on support to dealerships in developing internal processes tied to the successful implementation and integration of UVeye systems.
  • Collaborate with the Operations team to develop optimal hardware placement designs and comprehensive installation plans.
  • Facilitate cross-functional communication between clients, Operations, and other internal teams to ensure alignment on project goals.
  • Develop and manage detailed installation schedules, ensuring clear communication with all stakeholders.
  • Coordinate logistics and ensure all necessary resources, documentation, and approvals are in place before installation begins.
  • Anticipate and address potential challenges, maintaining proactive communication to keep projects on track.
  • Ensure a smooth transition to the Customer Success Manager (CSM) post-installation by providing all necessary documentation, project details, and client information.
  • Facilitate a formal handover meeting to align on client expectations, system status, and next steps for ongoing success and support.

Requirements
  • At least 4 years of proven experience managing the onboarding and implementation of hardware solutions ideally for dealerships.
  • Experience working with dealerships is ideal, with a solid understanding of how a service lane operates.
  • Strong organizational skills with the ability to manage multiple projects simultaneously.
  • Excellent communication and interpersonal skills to effectively liaise with clients and internal teams.
  • Knowledge of site preparation requirements such as networking, electrical systems, and construction is a plus.
  • Proficiency with project management tools (e.g., SalesForce, Monday.com, Asana, or similar) and standard office software.
  • Proactive and solutions-oriented with exceptional attention to detail.
  • Demonstrates a high level of assertiveness and persistence in their approach to making phone calls to maintain frequent outreach, ensuring follow-ups are completed promptly and efficiently.
  • Strong problem-solving skills and the ability to adapt to evolving client needs.
  • Team player with a collaborative mindset and a customer-focused approach.
  • Strong presentation and PowerPoint skills to communicate plans, updates, and key milestones effectively.
  • This is a remote role, based on CT or ET. The ideal candidate should be located within an hour of a Major US Airport.

Benefits we offer:
  • Competitive Medical, Dental, Vision.
  • Company 401k Match.
  • 20 PTO days, Company paid holidays.
  • Career growth as we scale across the US.

Compensation:
UVeye provides salary ranges that comply with the New Jersey State Law on salary transparency in job advertisements. Actual salaries depend on a variety of factors, including experience, qualifications, skills, location, education, and operational needs. The salary range or contractual rate listed does not include bonuses/incentives or other forms of compensation or benefits. The annual base salary range for this position is $80,000 - $90,000. In addition, this position is also eligible for Bonus.
Why UVeye:
  • Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections.
  • Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale.
  • Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.

Check out our Life at UVeye page to learn more about the employee experience.
UVeye is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.