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Manager Remote Machine Learning Engineer Jobs in Oak Creek, WI

INNIO

Sales Applications Engineer

Waukesha, WI · On-site +1

$104K - $128K/yr

About INNIO Group: INNIOGroupis aglobaldistributed energy solutions provider that delivers reliable, flexible, transient, decentralized,modularand efficient power.Witha track recordofinnovation,

Innio

Sales Applications Engineer

Waukesha, WI · On-site +1

$104K - $128K/yr

About INNIO Group: INNIOGroupis aglobaldistributed energy solutions provider that delivers reliable, flexible, transient, decentralized,modularand efficient power.Witha track recordofinnovation,

Imagine Learning

Virtual Teacher

Milwaukee, WI · On-site +1

$44K/yr

Imagine Learning has a high need for state certified teachers in the following subjects: * ID - Electives, World Languages, Core * ME: Health, electives * FL - Computer Science and Business * TN -

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All JobsMachine Learning Engineer JobsManager Remote Machine Learning Engineer JobsManager Remote Machine Learning Engineer Jobs in Oak Creek, WI

Manager Remote Machine Learning Engineer information

See Oak Creek, WI salary details

$29.1K

$65.5K

$110.2K

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

As of Aug 9, 2026, the average yearly pay for manager remote machine learning engineer in Oak Creek, WI is $65,463.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,600.00 and $71,100.00 per year, depending on experience, location, and employer.

What is a manager remote machine learning engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

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

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

What are the key skills and qualifications needed to thrive as a manager remote machine learning engineer, and why are they important?

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

How does a manager remote machine learning engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.
Manager Remote Machine Learning Engineer jobs near you
Infographic showing various Manager Remote Machine Learning Engineer job openings in Oak Creek, WI as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $65,463 per year, or $31.5 per hour.

React.js / Svelte Engineer - Remote Job

EnthuZiastic

Milwaukee, WI • Remote

Full-time

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are looking for a great JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.

Responsibilities:

  • Developing new user-facing features using React.js

  • Building reusable components and front-end libraries for future use

  • Translating designs and wireframes into high quality code

  • Optimizing components for maximum performance across a vast array of web-capable devices and browsers

Our Tech Stack:

  • Svelte.js

  • React.js

  • Jest.js (Testing)

  • Tailwind

  • Typescript

  • GraphQL

  • Flutter

  • Terraform

  • Elixir / Node.js

  • AWS / Azure Cloud

Requirements

  • 2+ years of experience in React / Angular / Web Frameworks, Jest (unit testing).

  • Having GraphQL experience is a big plus.

  • Having Svelte experience is a big plus.

  • An excellent team player.

  • Constantly thinking about improving the current code, usability, user experience. Having laser focus on making the app super amazing and helping the team and company succeed.

  • Excellent communication and interpersonal skills. In the new world of work from home, we expect the ideal candidate to over-communicate.

  • Humility, collaboration, time management, and communication are as important as your technical skills.

  • Analytical thinker with exceptional problem-solving skills.

  • Excited about writing quality code, trying new technologies, and playing well with others.

  • Solid understanding of engineering and design best practices, especially as it relates to scaling high traffic and data heavy applications.

  • Previous experience with designing, building, and scaling an application to support load changes related to growth.

  • Comfortable in dealing with complexity, lots of moving pieces, coordinating with third parties, and cross-functional teams.

  • Exquisite attention to detail, ability to identify and solve edge-cases.

  • Comfortable learning new technologies and systems.

Do Not Apply If:

  • If you haven’t used Git yet.

  • You are not comfortable with startups that move fast! We’re a small group (~40) of passionate individuals who are determined to change the status quo!

Benefits

  • Opportunity to be a part of a dynamic growth focused tech startup

  • Great learning opportunities to develop new skills and understanding of cutting edge software tools and processes

  • Opportunity to work closely with serial tech entrepreneurs from Silicon Valley

  • Fun-loving environment and caring team mates and inclusive culture of the company

Apply