ZipRecruiter

Log In

2

Remote Machine Learning Jobs in Ohio (NOW HIRING)

next page

Showing results 1-20

People also search for

All JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Ohio

Remote Machine Learning information

See Ohio salary details

$24.2K

$40.5K

$83.7K

How much do remote machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for remote machine learning in Ohio is $40,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,700.00 per year, depending on experience, location, and employer.

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 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 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 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.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.

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.

More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Ohio? The most popular types of Machine Learning jobs in Ohio are:
What are popular job titles related to Remote Machine Learning jobs in Ohio? For Remote Machine Learning jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Ohio look for? The top searched job categories for Remote Machine Learning jobs in Ohio are:
What cities in Ohio are hiring for Remote Machine Learning jobs? Cities in Ohio with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Ohio as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 26% Full Time, 70% Part Time, 1% Temporary, and 1% Contract. Highlights an 73% Physical, and 27% Remote job distribution, with an average salary of $40,484 per year, or $19.5 per hour.

Machine Learning Engineer

Bright Vision Technologies

Cleveland, OH • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About Bright Vision Technologies Bright Vision Technologies is a forward‐thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting‐edge machine learning technologies to build scalable, reliable, and production‐grade intelligent systems. As we continue to grow, we're looking for a skilled Machine Learning Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.

This is a fantastic opportunity to join an established and well‐respected organization offering tremendous career growth potential. Visa & Sponsorship We are looking for OPT/CPT/H4 EAD/TN/E3 or any other Non‐immigrant visa people who are looking for an H1B sponsorship for the year 2027 quota . If you are already on H-1B and are open to an H‐1B transfer , feel free to apply.

BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. Job Title & Location Job Title: Machine Learning Engineer Onsite/Hybrid: Remote Environment Machine Learning Python TensorFlow PyTorch Scikit-learn Feature Engineering Model Training & Evaluation Model Deployment RESTful APIs Data Pipelines SQL NoSQL Databases Cloud Platforms (AWS / Azure / GCP) Docker Kubernetes Linux CI/CD pipelines Git Agile methodologies Requirements We prefer at least 3 to 5 years of real‐time experience.

A coding test is required; apply only if you are confident and technically strong. Contact Best Regards, Sridhar Pagolu Senior Manager Bright Vision Technologies Phone: 908-938-4442 Address: #991 Route 22 West, Suite 200, Bridgewater, New Jersey - 08807 Equal Employment Opportunity Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. #J-18808-Ljbffr

Apply