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

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

Remote in the US Start Date: 5/4 Duration: 4 months Location: Milwaukee, WI Visa: USC, GC, GC-EAD ... SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB * Experience with ...

Implementation Manager

Milwaukee, WI · 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 ...

DevOps Engineer

Kenosha, WI · Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Application Developer

Milwaukee, WI · Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Software Developer

Milwaukee, WI · Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Backend Software Engineer

Kenosha, WI · Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Mobile Software Engineer

Kenosha, WI · Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Showing results 1-20

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 Jun 12, 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 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.

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.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineer roles are available for remote work, especially in companies that support flexible or distributed teams. Remote positions often require strong skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, along with good communication skills. However, some roles may require on-site presence for collaboration or access to specialized hardware.

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.

Which 5 jobs will survive AI?

Remote machine learning roles such as data scientists, AI researchers, machine learning engineers, AI product managers, and AI ethics specialists are expected to persist as AI advances. These jobs require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and proficiency in tools like Python, TensorFlow, or PyTorch are essential for these roles.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Are ML jobs in demand?

Machine Learning (ML) jobs are in high demand across various industries such as technology, finance, healthcare, and retail. The growth is driven by increasing adoption of AI solutions, data-driven decision making, and the need for expertise in programming, data analysis, and model deployment, making ML a promising career path.

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.

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:
DevOps Engineer[remote]

DevOps Engineer[remote]

SmartIPlace

Milwaukee, WI • Remote

$54 - $74/hr

Contractor

Posted 27 days ago


Job description

Title: DevOps Engineer

Workplace: Remote in the US

Start Date: 5/4

Duration: 4 months

Location: Milwaukee, WI

Visa: USC, GC, GC-EAD, H4-EAD

 

Top Skills

  1. 3 years of Cloud experience (Azure, AWS, and/or GCP)
  2. Strong scripting and automation skills
  3. Core IaaS: Compute, Storage, Networking, High Availability
  4. Azure PaaS Services: Logic Apps, Azure Monitor/Log Analytics, Defender for Cloud, IoT suite, Advisor, etc.

Qualifications

  • Bachelor's or master's degree in computer science or equivalent engineering experience
  • Minimum of 8 years of overall mixed IT experience
  • Minimum of 3 years of cloud experience (Azure, AWS, and/or GCP)
  • Strong scripting and automation skills (Terraform, PowerShell, Git)

Technical Skills

  • Understanding of cloud computing technologies
  • Optionally, demonstrated hands-on experience in one or more of the following:
  • Core IaaS: Compute, Storage, Networking, High Availability
  • Azure PaaS Services: Logic Apps, Azure Monitor/Log Analytics, Defender for Cloud, IoT suite, Advisor, etc.
  • Identity and Authentication: SSO/Federation, AD/Azure AD, ADFS, etc.
  • Data Platform and Big Data: SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB
  • Experience with continuous integration and deployment automation tools such as Azure DevOps (ADO), GitHub Actions, Jenkins
  • Experience in implementing cost management solutions
  • Ability to work in a highly collaborative environment and communicate effectively with internal and external partners
  • Understanding of networking fundamentals (DNS, Hub-Spoke model, On-prem, VWAN)
  • Any cloud certifications (AZ-400, AWS Certified DevOps Engineer or similar)
  • Experience deploying/migrating mixed Cloud architectures (PaaS, SaaS, and/or IaaS)

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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