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

AI Architect

Dublin, OH ยท Remote

$64.50 - $85/hr

This role will define the architecture, standards, and roadmap for Generative AI, machine learning ... This is a remote position.

AVP Applied AI

Columbus, OH ยท On-site +1

The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

Data Scientist

Columbus, OH ยท On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes. American Modern Insurance Group, Inc., a Munich Re company ...

Project Manager (AI Focus)

Pataskala, OH ยท 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 ...

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, ...

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, ...

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, ...

Lead AI Engineer - AWS Platform

Columbus, OH ยท On-site +1

$130K - $190K/yr

Build machine learning models that automate their training, validation, monitoring, and retraining ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Cyber AI Security Manager

Columbus, OH ยท On-site +1

$107K - $144K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Act as the security expert in designing, developing, and deploying secure AI and machine learning ...

Showing results 21-40

Remote Machine Learning information

See Hilliard, OH salary details

$24.1K

$40.3K

$83.2K

How much do remote machine learning jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote machine learning in Hilliard, OH is $40,258.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,700.00 and $43,500.00 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.

What job categories do people searching Remote Machine Learning jobs in Hilliard, OH look for?

The top searched job categories for Remote Machine Learning jobs in Hilliard, OH are:

What cities near Hilliard, OH are hiring for Remote Machine Learning jobs?

Cities near Hilliard, OH with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Hilliard, OH as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, and 3% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $40,258 per year, or $19.4 per hour.

AI Architect

Dublin, OH โ€ข Remote

DATA INDICATORS LLC
IT Servicesย โ€ขย 11 - 50 employees

$64.50 - $85/hr

Full-time

Posted 9 days ago


Job description

AI ArchitectWe are seeking a senior AI Architect to lead the design and development of enterprise AI capabilities across a healthcare and cancer research organization. This role will define the architecture, standards, and roadmap for Generative AI, machine learning, enterprise search, RAG, AI assistants, and agentic AI.
Key Responsibilities
  • Define enterprise AI architecture, standards, reference designs, and technology roadmap.
  • Architect Generative AI, LLM, RAG, semantic/vector search, AI assistant, and agentic AI solutions.
  • Design secure integrations between AI platforms, enterprise applications, APIs, knowledge repositories, and data platforms.
  • Establish reusable AI services, model-selection patterns, guardrails, evaluation, monitoring, and human-in-the-loop controls.
  • Define standards for MLOps/LLMOps, deployment, model lifecycle management, and monitoring.
  • Partner with data, cloud, security, clinical, research, and application teams to move AI solutions into production.
  • Ensure AI solutions meet requirements for security, privacy, governance, auditability, and responsible AI.
  • Provide technical leadership and communicate architecture, risks, and technology decisions to senior stakeholders.
Required Skills
  • 10+ years in enterprise architecture, solution architecture, data/cloud architecture, software engineering, AI/ML, or related disciplines.
  • Strong enterprise architecture experience with Generative AI and LLM-based platforms.
  • Strong knowledge of:
    • LLMs and Generative AI
    • RAG and enterprise search
    • Embeddings and vector databases
    • AI agents / agentic workflows
    • APIs and enterprise integrations
    • Cloud AI platforms
    • MLOps / LLMOps
  • Strong understanding of modern data architecture, cloud platforms, APIs, containers/Kubernetes, and distributed systems.
  • Experience designing solutions involving sensitive or regulated data.
  • Knowledge of AI security, privacy, governance, model risk, and responsible AI.
  • Strong technical leadership and executive communication skills.
Preferred
  • Experience with Glean or similar enterprise AI search / knowledge-management platforms.
  • Healthcare, life sciences, cancer research, pharmaceutical, or other regulated-industry experience.
  • Familiarity with FHIR, HL7, DICOM, Epic, or clinical/research data environments.
  • Experience with Azure, AWS, or Google Cloud AI platforms.
  • Experience with enterprise RAG platforms, vector databases, knowledge graphs, model gateways, or agent frameworks.
Ideal Candidate
A senior architect who combines enterprise architecture leadership with hands-on technical depth in GenAI, RAG, LLMs, agents, cloud/data architecture, and AI governance.

This is a remote position.