ML Engineer Jobs in Columbus, OH
ML Engineer jobs in Columbus are concentrated in the Short North tech corridor, the Arena District, and the Easton area, with strong demand from fintech, healthcare IT, and enterprise software employers. Path Robotics, JPMorganChase, and Mimecast are among those actively hiring right now. See the openings below and apply to the ones that match your experience.
Find ML Engineer JobsOverview
Showing 5 of 14+ ML Engineer jobs
INTRODUCTION
We are seeking an experienced AI/MLOps Engineer to join an innovative healthcare organization focused on leveraging AI and machine learning to improve business outcomes. This is an exciting opportunity to help build scalable machine learning platforms, automate model deployment, and partner with Data Scientists to bring AI solutions into production. This is a fully remote, contract-to-hire opportunity with occasional quarterly travel.
Responsibilities
- Design, develop, and deploy AI/ML solutions using Microsoft Azure technologies.
- Build and maintain scalable machine learning pipelines and production workflows.
- Deploy, monitor, and optimize machine learning models in production environments.
- Automate ML model deployment through CI/CD pipelines.
- Partner closely with Data Scientists and Data Engineers to operationalize machine learning models.
- Develop AI-powered solutions including natural language processing (NLP), recommendation engines, sentiment analysis, image recognition, and chatbot capabilities.
- Implement Azure AI Services, Azure Machine Learning, and Azure Cognitive Services.
- Utilize containerization technologies such as Docker and Kubernetes.
- Monitor model performance and implement updates and retraining as needed.
- Ensure machine learning environments meet security and compliance standards.
- Continuously improve the scalability, reliability, and performance of AI platforms.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Information Systems, or a related technical field (or equivalent experience).
- 5+ years of software development or engineering experience.
- 3+ years of experience delivering end-to-end machine learning projects, including recent hands-on MLOps experience.
- Strong experience with Microsoft Azure cloud services.
- Experience with Azure Machine Learning and Azure AI Services.
- Strong programming skills in Python (preferred), Java, or Scala.
- Experience deploying machine learning models into production environments.
- Hands-on experience with Docker and Kubernetes.
- Experience implementing CI/CD pipelines for machine learning solutions.
PREFERRED QUALIFICATIONS
- Experience with MLflow or Kubeflow.
- Experience with TensorFlow, PyTorch, or scikit-learn.
- Background in natural language processing (NLP).
- Experience building enterprise AI applications and production-grade ML platforms.
- Familiarity with Azure Bot Services and Azure Cognitive Services.
WHAT YOU'LL BRING
- Passion for building scalable AI and machine learning solutions.
- Strong collaboration skills and the ability to work cross-functionally with engineering and data science teams.
- Excellent problem-solving abilities and attention to detail.
- A desire to help drive AI innovation in a collaborative environment.
LOCATION
Fully Remote (U.S.)
TRAVEL
Occasional quarterly travel
EMPLOYMENT TYPE
Contract-to-Hire
If you're passionate about operationalizing machine learning and building modern AI platforms in Azure, we'd love to hear from you.
INTRODUCTION
We are seeking an experienced AI/MLOps Engineer to join an innovative healthcare organization focused on leveraging AI and machine learning to improve business outcomes. This is an exciting opportunity to help build scalable machine learning platforms, automate model deployment, and partner with Data Scientists to bring AI solutions into production. This is a fully remote, contract-to-hire opportunity with occasional quarterly travel.
Responsibilities
- Design, develop, and deploy AI/ML solutions using Microsoft Azure technologies.
- Build and maintain scalable machine learning pipelines and production workflows.
- Deploy, monitor, and optimize machine learning models in production environments.
- Automate ML model deployment through CI/CD pipelines.
- Partner closely with Data Scientists and Data Engineers to operationalize machine learning models.
- Develop AI-powered solutions including natural language processing (NLP), recommendation engines, sentiment analysis, image recognition, and chatbot capabilities.
- Implement Azure AI Services, Azure Machine Learning, and Azure Cognitive Services.
- Utilize containerization technologies such as Docker and Kubernetes.
- Monitor model performance and implement updates and retraining as needed.
- Ensure machine learning environments meet security and compliance standards.
- Continuously improve the scalability, reliability, and performance of AI platforms.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Information Systems, or a related technical field (or equivalent experience).
- 5+ years of software development or engineering experience.
- 3+ years of experience delivering end-to-end machine learning projects, including recent hands-on MLOps experience.
- Strong experience with Microsoft Azure cloud services.
- Experience with Azure Machine Learning and Azure AI Services.
- Strong programming skills in Python (preferred), Java, or Scala.
- Experience deploying machine learning models into production environments.
- Hands-on experience with Docker and Kubernetes.
- Experience implementing CI/CD pipelines for machine learning solutions.
PREFERRED QUALIFICATIONS
- Experience with MLflow or Kubeflow.
- Experience with TensorFlow, PyTorch, or scikit-learn.
- Background in natural language processing (NLP).
- Experience building enterprise AI applications and production-grade ML platforms.
- Familiarity with Azure Bot Services and Azure Cognitive Services.
WHAT YOU'LL BRING
- Passion for building scalable AI and machine learning solutions.
- Strong collaboration skills and the ability to work cross-functionally with engineering and data science teams.
- Excellent problem-solving abilities and attention to detail.
- A desire to help drive AI innovation in a collaborative environment.
LOCATION
Fully Remote (U.S.)
TRAVEL
Occasional quarterly travel
EMPLOYMENT TYPE
Contract-to-Hire
If you're passionate about operationalizing machine learning and building modern AI platforms in Azure, we'd love to hear from you.
See All 14 ML Engineer Jobs in Columbus
Find roles in Columbus that match your experience and apply in just a few clicks.
Find ML Engineer JobsML Engineer Job Market in Columbus
Who's Hiring
Top Industries Hiring
- Biotechnology & Pharmaceuticals
- Fintech
- Banking & Financial Services
- Investment & Asset Management
- Insurance
ML Engineer Jobs in Columbus: Frequently Asked Questions
How do I get a ml engineer job in Columbus?
The strongest path into Columbus ml engineer roles runs through the city's fintech, healthcare IT, and insurance technology sectors, which cluster downtown and around Polaris. Candidates who can demonstrate production ML experience, particularly with Python, PyTorch, or MLOps tooling, stand out here. Engaging with Columbus tech meetups and targeting mid-size companies scaling their data teams gives you an edge over purely remote-focused applicants.
Which companies hire ml engineers in Columbus?
Columbus ml engineer roles are posted by Path Robotics, JPMorganChase, and Mimecast and others right now, based on current listings on Migrate Mate as of July 2026. The local market mixes large financial services and healthcare organizations with a growing set of venture-backed tech startups, many headquartered in the Short North and Arena District neighborhoods.
Are there remote ml engineer jobs in Columbus?
Yes, though availability depends on the role: model development and research positions tend to be remote-friendly, while embedded or MLOps roles tied to on-site infrastructure are typically in-person. About 57% of ml engineer openings tied to Columbus are remote or hybrid as of July 2026, reflecting broader flexibility in analytical and research-oriented work. Columbus-based fintech and insurance employers in particular have expanded hybrid arrangements for senior ML practitioners.
How can I get a ml engineer job in Columbus with little or no experience?
The most realistic entry point in Columbus is landing a data analyst or junior data scientist role at one of the city's large financial services or healthcare employers, then moving into ML engineering as you build model-deployment experience. Columbus-area companies like regional insurers and health systems regularly hire junior analysts willing to grow toward ML work. A strong portfolio of end-to-end projects, including data cleaning through model deployment, matters more to local hiring managers than credentials alone.
Which industries hire the most ml engineers in Columbus?
The sectors hiring the most ml engineers in Columbus are Biotechnology & Pharmaceuticals, Fintech, and Banking & Financial Services, based on current listings on Migrate Mate as of July 2026. Columbus's position as a hub for insurance, banking, and large health system networks means these industries consistently drive local ML demand, particularly for models supporting risk, fraud detection, and clinical operations.
See All 14 ML Engineer Jobs in Columbus
Find roles in Columbus that match your experience and apply in just a few clicks.
Find ML Engineer Jobs