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Remote Machine Learning Jobs in Cincinnati, OH (NOW HIRING)

System One

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot work with an individual that will require sponsorship to work W2 in the future Prefer P&C Industry ...

System One

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot work with an individual that will require sponsorship to work W2 in the future Prefer P&C Industry ...

Smart Data

15787 Data Scientist II

Cincinnati, OH · On-site +1

Remote EST/CST candidates will be considered Years of Experience: 3+ CONTRACT TO HIRE - MUST BE ABLE TO CONVERT TO FTE W/O SPONSORSHIP*** TOP SKILLS: * Causal Inferences Experience * AI - Not a ...

Fifth Third

Consumer Lending Data Analyst

Cincinnati, OH · On-site +1

We are unable to do remote. This role will be focused on data analytics for our home equity line of business. GENERAL FUNCTION: Responsible for developing analytics and reporting that helps the line ...

Paychex

Senior Software Engineer -P

Cincinnati, OH · On-site +1

$117K - $155K/yr

Our award-winning training and development programs empower our employees with ongoing learning opportunities to give you the building blocks to grow your career. * We value your perspective: Our ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Cincinnati, OH

Remote Machine Learning information

See Cincinnati, OH salary details

$24.5K

$40.9K

$84.4K

How much do remote machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote machine learning in Cincinnati, OH is $40,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $44,100.00 per year, depending on experience, location, and employer.

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.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Cincinnati, OH? The most popular types of Machine Learning jobs in Cincinnati, OH are:
What are popular job titles related to Remote Machine Learning jobs in Cincinnati, OH? For Remote Machine Learning jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Cincinnati, OH look for? The top searched job categories for Remote Machine Learning jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Remote Machine Learning jobs? Cities near Cincinnati, OH with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Cincinnati, OH as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $40,858 per year, or $19.6 per hour.

Data Engineer

System One

Fairfield, OH • Remote

$55 - $60/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 17 days ago

Job description

Job Title: Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model: Remote – offsite Hours: 40.0 Security Clearance: (not specified)

Overview NO C2C ONLY W2 cannot work with an individual that will require sponsorship to work W2 in the future Prefer P&C Industry experience . Skills : DataStage AND /OR Power BI ,SQL SAS and Python. Snowflake , Facts Qualifier matrix, developing BI dashboards. Visual Studio Code, Github ,CI/CD Responsibilities

  • Build robust and scalable data pipelines to support business insights and decision-making
  • Analyze and organize raw data from multiple sources, creating required data elements
  • Design table structures and ETL/ELT processes for high-performance, scalable data solutions
  • Create reconciliation procedures and data checks to ensure data quality
  • Develop automated audit, balancing, and controls mechanisms
  • Provide production support including technical assistance to end-users and IT staff
  • Assist and lead requirements gathering and documentation with business partners
  • Conduct data investigations and support complex data analyses and ad-hoc queries
  • Participate in application and technical architecture analysis, design, and implementation
  • Lead efforts with data management and database specialists to troubleshoot and resolve issues
  • Design reporting applications to support reporting requests from data sources
  • Ensure adherence to metadata management and data quality standards
  • Troubleshoot and understand dependencies between data warehouse and BI tools
  • Build and maintain relationships with process owners and colleagues
  • Identify scope or effort changes that could impact deliverables or budgets
  • Demonstrate expert problem solving capabilities
Requirements
  • Proven experience designing and implementing ETL/ELT processes (preferred tools: IBM's DataStage, SQL, SAS, Python; moving to Python, DBT, SQL, Power BI)
  • Experience with CI/CD concepts and version control with GitHub
  • Proficiency with Visual Studio Code for development and debugging
  • Experience working with Snowflake for scalable data warehousing
  • Knowledge of enterprise data warehouse design artifacts such as FQM, source-to-target mapping, and schema modeling
  • Understanding of enterprise technical landscape, insurance background a plus
  • Experience developing BI dashboards with tools like Power BI; creating data quality scorecards and data lineage
  • Experience with Agile teams and mentoring development team members
  • Strong analytical and communication skills
  • Ability to manage multiple projects and meet deadlines independently
  • Ability to create visual models for processes and data flow
  • Prior reporting application support experience
  • Three or more years of requirements gathering and solution architecture experience preferred

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M1- #LI-VR1 Ref: #861-Cincinnati-S1