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

Knitwellgroup

Director, AI Solutions Delivery

Pataskala, OH · On-site +1

$203K/yr

Familiarity with machine learning models, data pipelines, cloud platforms (AWS, Azure, or GCP), and ... Remote :Preference will be given to candidates in Columbus, OH, Hingham, MA or Ft. Myers, FL areas ...

Knitwellgroup

Project Manager (AI Focus)

Pataskala, OH · On-site +1

$94K - $112K/yr

Experience supporting AI, Generative AI, automation, machine learning, or emerging technology ... Remote :Preference will be given to candidates in Columbus, OH, Hingham, MA or Ft. Myers, FL areas ...

Commercial Vehicle Group

Finance Manager

New Albany, OH · On-site +1

Proven leadership experience managing remote or multi-site teams across complex financial functions ... Experience applying AI, machine learning, or advanced analytics concepts within finance, FP&A, ...

Nationwide

Consultant, Corporate Compliance

Columbus, OH · On-site +1

Experience with AI-enabled solutions, workflow automation, machine learning, data analytics, or ... Consideration may be given for remote opportunity depending on experience. Summary Are you someone ...

New

McKesson

Strategic Data Scientist

Columbus, OH · On-site +1

$108K - $181K/yr

Understanding of data science methodologies includingdecision trees, multivariate analysis, segmentation modeling, factor analysis, regression analysis, forecasting, machine learning, etc.

CoverMyMeds

Strategic Data Scientist

Columbus, OH · On-site +1

$108K - $181K/yr

Understanding of data science methodologies includingdecision trees, multivariate analysis, segmentation modeling, factor analysis, regression analysis, forecasting, machine learning, etc.

McKesson

Strategic Data Scientist

Columbus, OH · On-site +1

$108K - $181K/yr

Understanding of data science methodologies includingdecision trees, multivariate analysis, segmentation modeling, factor analysis, regression analysis, forecasting, machine learning, etc.

MCKESSON

Strategic Data Scientist

Columbus, OH · On-site +1

$108K - $181K/yr

Understanding of data science methodologies including decision trees, multivariate analysis, segmentation modeling, factor analysis, regression analysis, forecasting, machine learning, etc.  

ABB

Senior Field Service Technician

OH · Remote

$83K - $133K/yr

Remote. Key Responsibilities * Be responsible for hands-on execution of projects including Startup ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

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Showing results 21-40

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

Remote Machine Learning information

See Columbus, OH salary details

$24.6K

$41.1K

$85K

How much do remote machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote machine learning in Columbus, OH is $41,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,400.00 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 Columbus, OH? The most popular types of Machine Learning jobs in Columbus, OH are:
What are popular job titles related to Remote Machine Learning jobs in Columbus, OH? For Remote Machine Learning jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Columbus, OH look for? The top searched job categories for Remote Machine Learning jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Machine Learning jobs? Cities near Columbus, OH with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Columbus, 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 $41,131 per year, or $19.8 per hour.

Senior Enterprise Monitoring & Event Management Engineer | 1061927

Hive + Co

Columbus, OH • Remote

$100K - $138K/yr

Full-time

Posted 4 days ago

Job description

The Senior Enterprise Monitoring & Event Management Engineer is responsible for the design, administration, integration, automation, and support of the client's enterprise monitoring and event management platforms. This role serves as a technical subject matter expert for IBM Netcool Operations Insight (NOI), event correlation, alert automation, monitoring integrations, ServiceNow event management, and enterprise observability solutions.
The engineer will design and maintain monitoring solutions across infrastructure, applications, databases, cloud environments, and business-critical systems while driving automation, event reduction, incident response improvements, and platform modernization initiatives.
The position requires deep technical expertise across Linux administration, monitoring platforms, scripting, event management, system integrations, and production support in a large enterprise environment.
**Location: Prefer Columbus OH - open to remote within Arkansas, Indiana, Kentucky, Louisiana, Michigan, Ohio, Oklahoma, Tennessee, Texas, Virginia and/or West Virginia
Required Technical Skills
  • The position requires deep technical expertise across Linux administration, monitoring platforms, scripting, event management, system integrations, and production support in a large enterprise environment.
  • Monitoring & Event Management Platforms
  • IBM Netcool Operations Insight (NOI)
  • IBM Netcool OMNIbus
  • ServiceNow Event Management (EM)
  • Dynatrace
  • Splunk
  • SolarWinds
  • OpenNMS
  • Enterprise monitoring and observability solutions

Operating Systems
  • Linux Administration (RHEL preferred)
  • Unix/Linux troubleshooting
  • Process and service management
  • Performance tuning and diagnostics
  • Linux interprocess communication (IPC)

Programming & Scripting
  • Python
  • Shell Scripting
  • Perl
  • JavaScript
  • SQL
  • JSON
  • XML/XSLT

Integration Technologies
  • REST APIs
  • SOAP APIs
  • Webhooks
  • SNMP
  • Syslog
  • SMTP
  • Kafka
  • Message bus technologies

Databases
  • Oracle
  • SQL Server
  • PostgreSQL
  • MySQL
  • MongoDB

Cloud & Infrastructure
  • AWS monitoring integrations
  • Azure monitoring integrations
  • Kubernetes
  • Docker
  • Virtualization technologies (VMware)

Automation Technologies
  • Ansible
  • NOI Runbooks
  • ServiceNow Flows
  • Event-driven automation
  • Custom workflow development

Analytics & AI
  • AIOps platforms
  • Event correlation
  • Root cause analysis
  • Anomaly detection
  • Log analytics
  • Predictive alerting
  • Machine learning-enabled monitoring

Preferred Skills
  • Utility industry monitoring experience
  • SOX-regulated application support
  • ITIL framework knowledge
  • ServiceNow ITOM
  • CMDB integrations
  • Event Management architecture
  • Infrastructure monitoring design
  • Enterprise observability practices
  • Network monitoring and management systems

Roles & Responsibilities
Event Management Engineering
  • Design, develop, and maintain enterprise event management and correlation solutions.
  • Build, maintain, and optimize Netcool probes, gateways, automation policies, rules, and event processing workflows.
  • Develop alarm correlation, suppression, enrichment, normalization, deduplication, and root cause analytics.
  • Design enterprise event reduction and noise suppression strategies.
  • Identify opportunities to automate operational monitoring processes.

Platform Administration & Support
  • Administer and support IBM Netcool Operations Insight (NOI) production and non-production environments.
  • Maintain platform health, availability, performance, and resiliency.
  • Perform platform upgrades, patching, capacity planning, and lifecycle management.
  • Troubleshoot platform issues involving event processing, integrations, databases, and infrastructure components.
  • Provide Level 3 support for enterprise monitoring and event management solutions.

Monitoring Architecture
  • Design monitoring solutions across servers, databases, network devices, cloud platforms, applications, middleware, and infrastructure services.
  • Develop monitoring standards, onboarding processes, and alerting strategies for business-critical systems.
  • Partner with application teams to create meaningful actionable alerts and reduce alert fatigue.
  • Improve service visibility and operational readiness across enterprise environments.

ServiceNow Integration
  • Design and support integrations between monitoring platforms and ServiceNow.
  • Implement automated incident creation, event enrichment, routing, escalation, and ticket lifecycle management.
  • Support Event Management and AIOps initiatives within ServiceNow.
  • Integrate monitoring tools with CMDB and service mapping solutions.

Integration Engineering
  • Develop and support integrations using REST, SOAP, SNMP, Syslog, webhooks, messaging technologies, and custom APIs.
  • Integrate monitoring platforms with infrastructure, application, database, and cloud environments.
  • Support enterprise onboarding activities for new monitoring sources and technologies.

Automation & Continuous Improvement
  • Develop event-driven automation and remediation workflows.
  • Create self-healing and closed-loop operational automation capabilities.
  • Implement monitoring automation using scripts, workflows, runbooks, and orchestration platforms.
  • Drive monitoring modernization initiatives and platform improvements.

Production Operations Support
  • Participate in on-call rotation and critical incident response activities.
  • Support enterprise monitoring platforms that provide critical operational visibility to IT and business stakeholders.
  • Analyze monitoring failures and implement corrective actions.
  • Serve as a technical escalation point for monitoring and integration-related incidents.

Governance, Risk & Compliance
  • Support monitoring solutions that are subject to SOX, audit, and compliance requirements.
  • Maintain documentation, runbooks, operational procedures, and technical standards.
  • Participate in audit activities and evidence collection when required.
  • Ensure monitoring solutions align with cybersecurity and operational standards.

Leadership & Soft Skills
  • Strong customer service and stakeholder management skills
  • Exceptional troubleshooting and analytical abilities
  • Ability to communicate effectively with technical and non-technical audiences
  • Ability to prioritize multiple projects and operational demands
  • Self-directed and highly accountable
  • Strong collaboration skills across infrastructure, security, cloud, and application teams
  • Ability to lead technical initiatives and mentor junior engineers
  • Strategic mindset with the ability to align monitoring capabilities with business outcomes

Reference: 1061927
Worried that you don’t meet every single requirement listed in the job ad? Studies have shown that individuals from marginalized groups are less likely to apply to jobs unless they meet every single qualification. Hive + Co. is dedicated to building a diverse, inclusive and representative workplace, so if you’re excited about this role, but worried that you don’t meet every requirement, we encourage you to apply anyways. We’d love to get to know you.