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Remote Machine Learning Jobs in Ohio (NOW HIRING)

Paychex

Data Solutions Engineer

Cincinnati, OH · On-site +1

$91K - $156K/yr

Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

Procter & Gamble

Data Analyst

Mason, OH · On-site +1

They work with large datasets, employing statistical methods, data visualization techniques, and machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping ...

BeyondTrust

Develop and deploy machine learning models (supervised, unsupervised, deep learning) for production use cases * Design experiments, define success metrics, and run rigorous offline and online ...

Commercial Alliance

Product Owner

Loveland, OH · On-site +1

Experience with artificial intelligence (AI) and machine learning (ML), including exposure to AI ... Flexible work schedule and remote work options (if applicable). If you are a strategic thinker with ...

CareSource

Applied AI Scientist III

Dayton, OH · On-site +1

Utilize machine learning algorithms to identify patterns, trends, and opportunities for improving operational efficiency, cost containment, and patient care. * Conduct rigorous data analysis ...

Smart Data

2106 Platform Engineer IV

Cincinnati, OH · Remote

$148K - $165K/yr

REMOTE EST/CST Years of Experience: 5-20 TOP SKILLS: Must Have * Java 8-12 * Springboot * Kafka ... machine-learning and data-warehousing platforms. • Define and implement various strategies ...

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All JobsMachine Learning 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 Jul 8, 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 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 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
Payment Optimization Data Scientist II

Payment Optimization Data Scientist II

Worldpay

Cincinnati, OH • On-site, Remote

Full-time

Posted 8 days ago

Job description

Job Description

Are you ready to unleash your full potential? We're looking for people who are passionate about payments to chart Worldpay's path to being the largest and most-loved payments company in the world.

About the team

Worldpay, LLC seeks Payment Optimization Data Scientist II in Cincinnati, OH to employ machine learning and statistical modeling to create and enhance data driven products.

What you will be doing

The Payment Optimization Data Scientist II will analyze and extract insights from internal and external data. Additionally, the role will:

  • Work with big data and transform complex datasets into more usable formats.
  • Work with a variety of data science tools and programming languages such as SAS, PYTHON, R, SCALA, SQL.
  • Work independently and collaborate with other groups to solve complex problems.
  • Create and present analyses to internal and external partners and clients.
  • Document models and write code to track and monitor models and product performance.
  • Understand the realities of model development and make pragmatic and business-aware choices when trading-off sophistication and accuracy versus implementation and performance costs.
  • Perform other related duties assigned as needed.

Requirements

Master's degree or foreign equivalent in Computer Science, Data Science, Computer Engineering, or related field and four (4) years of experience in the job offered or a related occupation:

  • developing and deploying supervised machine learning models including CatBoost and XGBoost boosting/ensemble methods for Dynamic Transaction Retry, Time-of-Day optimization, and Intelligent Payment Orchestration to improve payment acceptance/approval rates and subscription recovery metrics;
  • applying Multi-Armed Bandits Reinforcement Learning and Causal Inference techniques to production systems for continuous optimization and feature/data updating including measuring improvements via AUC scores and acceptance rate uplift;
  • consolidating and normalizing disparate payment gateway response codes/ large-scale financial transaction data into consistent feature sets for ML (Machine Learning) models to improve model interpretability and predictive accuracy;
  • performing segmentation analysis using unsupervised ML algorithms with K-Means and DBSCAN to enhance data quality and inform supervised models for chargeback prediction and risk mitigation;
  • performing large-scale feature extraction and processing from relational and cloud-based systems with MySQL, BigQuery, & Snowflake and integrating these derived features into models running on Databricks/Apache Spark;
  • designing, executing, and analyzing A/B tests and pre-post analyses, and utilizing time-series modeling techniques to monitor and mitigate data drift and model drift in high-frequency predictive systems;
  • and translating technical findings into actionable, strategic recommendations for product development and executive stakeholders, ensuring the stability and profitability of global payment systems.

Telecommuting and/or working from home may be permissible pursuant to company policy. When not telecommuting, must report to work site.

What we offer you

  • A competitive salary and benefits
  • A variety of career development tools, resources and opportunities
  • The chance to work on some of the most challenging, relevant issues in the payment industry
  • Time to support charities and give back in your community



EEOC Statement

Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.

If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.

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