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Remote Machine Learning Jobs in Holland, MI (NOW HIRING)

Gordon Food Service

Associate Data Engineer

Wyoming, MI · On-site +1

Hybrid schedule, 4 days in office in Wyoming, MI or Atlanta, GA with 1 day remote What you'll bring to the table: * Bachelor's Degree in Computer Science, Information Technology, Advanced Analytics ...

Gordon Food Service

Senior Software Engineer

Wyoming, MI · On-site +1

$111K - $146K/yr

Hybrid Schedule, 4 days in office in Wyoming, MI or Atlanta, GA, with 1 day remote What you'll bring to the table: * Bachelor Degree Computer Science, Information Technology or related field ...

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Holland, MI

Remote Machine Learning information

See Holland, MI salary details

$24.3K

$40.6K

$83.9K

How much do remote machine learning jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote machine learning in Holland, MI is $40,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 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 popular job titles related to Remote Machine Learning jobs in Holland, MI? For Remote Machine Learning jobs in Holland, MI, the most frequently searched job titles are:
What cities near Holland, MI are hiring for Remote Machine Learning jobs? Cities near Holland, MI with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Data Engineer

Data Engineer

Cisive

Wyoming, MI • On-site, Remote

$103K - $124K/yr

Full-time

Posted 23 days ago

Cisive rating

8.3

Company rating: 8.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

76th of 487 rated business services

Job description

It\'s fun to work in a company where people truly BELIEVE in what they\'re doing!
We\'re committed to bringing passion and customer focus to the business.

At Cisive, our vision is to make securing the right talent effortless. We provide technology-first background screening, identity verification, and continuous monitoring solutions that help organizations hire and manage their workforce with confidence.

Our Values

·       Integrity First: We uphold the highest ethical standards in everything we do.

·       Innovate Fearlessly: We challenge the status quo, embrace emerging technologies, and continuously refine our solutions to stay ahead of industry needs.

·       Win Together: We break down barriers, share knowledge, and champion teamwork across departments, brands, and global offices to achieve our collective goals.

·       Customer Obsessed: We go beyond transactional interactions to become trusted partners in risk mitigation and workforce management.

·       Stay One Step Ahead: We proactively seek knowledge that helps us—and our clients—stay ahead of the curve.

Job Description:

Data Engineer (Microsoft Stack)

Join our collaborative Data and AI team, where every member\'s contributions are valued and visible. As a Data Engineer, you\'ll take on meaningful responsibilities that directly impact our projects and business at Cisive. This is an excellent opportunity for someone eager to work hands-on with Microsoft\'s cloud-native data technologies, develop new skills in modern data platforms, and be recognized for their achievements. You\'ll be supported by experienced professionals and have opportunities to showcase your work in cutting-edge cloud environments.

Responsibilities:

  • Collaborate with the Data and AI team to design and build data infrastructure, including ETL/ELT pipelines using Azure Data Factory.

  • Develop and maintain data models, cloud data warehouses, and data lakes using Azure SQL Server, and Azure SQL Database

  • Write and optimize T-SQL scripts, stored procedures, and functions for data transformation and integration.

  • Support data quality, governance, and security initiatives.

  • Participate in the full lifecycle of data projects, from requirements gathering to deployment and monitoring.

Qualifications:

  • (Required) 3+ years of data engineering experience, preferably with Microsoft data technologies.

  • (Required) Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.

  • (Required) Strong SQL skills and experience with Microsoft SQL Server.

  • (Required) Proficiency in modern coding practices, including Visual Studio Code, Git, and test frameworks (unit testing, regression testing, etc.).

  • (Required) Experience with Azure Data Factory, SSIS, and/or other Microsoft Azure data services.

  • (Required) Experience designing and implementing star schema data models.

  • (Nice to Have) Experience with Databricks and Python

  • Excellent problem-solving skills, attention to detail, and strong communication skills.

  • Ability to work effectively in a team environment and manage multiple tasks with minimal supervision.

What We Offer:

  • Hands-on experience with real-world data engineering projects using Microsoft’s data stack.

  • Mentorship and guidance from experienced data professionals.

  • Opportunities to take on significant responsibilities and make a tangible impact.

  • A collaborative and inclusive work environment.

  • Flexible/remote work options.

What Cisive employees say

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