Top 15 Applied ai/ml engineer Jobs in Columbus

AI Driven Automation Solutions Architect (Pharma)
PA Solutions —Lewis Center, OH
- Computer Science
- Engineering
- Mid-level
Applied ML Scientist - Active Learning
Hexion Inc. —Columbus, OH
- 18 years or older
- 7 years
- Computer Science
Applied AI Engineer, Founding Team
Accenture —Columbus, OH
- $68,300 - $218,800 a year
- Full-time
- Oracle
- Research
- Machine learning
- Paid holidays
- Disability insurance
Head of AI
AssetWatch, Inc. —Columbus, OH
- $244,000 - $282,000 a year
- Remote
- Computer Science
- AWS
- Doctor of Philosophy
- Flexible schedule
- Retirement plan
Quick Apply
Sr AI Machine Learning Engineer
The Hartford —Columbus, OH
- $117,200 - $175,800 a year
- Full-time
- Hybrid work
- 5 years
- DevOps
- System design
Technical Lead - Biological Systems Modeling Analytics
Battelle —Columbus, OH
- $128,800 - $183,600 a year
- Full-time
- Hybrid work
- Management
- Office
- 8 years
- Wellness program
- Health insurance
10d
Lead Software Engineer - SAP - BTP AI Developer
JPMorganChase —Columbus, OH
- $133,000 - $185,000 a year
- Full-time
- 5 years
- Senior level
- Health insurance
- Tuition reimbursement
13d
AI Driven Automation Solutions Architect (Pharma)
Orise —Lewis Center, OH
- Computer Science
- Engineering
- Senior level
Network Engineer, Reliability & Observability
FluidStack —London, OH
- $150,000 - $250,000 a year
- Email
- Office
- SQL
- Continuous improvement
- Dental insurance
- Paid time off
Machine Learning Engineer, Robot Learning, Loco-Manipulation
Path Robotics —Columbus, OH
- Computer science
- Computer Science
- Mid-level
- Paid parental leave
- Health insurance
Quick Apply
Python Terraform AWS DevOps MLOps Lead Software Engineer
JPMorganChase —Columbus, OH
- Full-time
- Azure
- 5 years
- Senior level
- Health insurance
- Tuition reimbursement
Senior Machine Learning Engineer (Reinforcement Learning/World Model)
Path Robotics —Columbus, OH
- Computer science
- Computer Science
- Master's degree
- Paid parental leave
- Health insurance
Quick Apply
AI Engineering & Platform Leadership Senior Manager - Utilities
Accenture —Columbus, OH
- $122,700 - $338,300 a year
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
- Paid holidays
- Disability insurance
Quality Analytics Site Lead
Anduril Industries —Ashville, OH
- $165,000 - $218,000 a year
- Email
- Computer Science
- SQL
- Travel
Quick Apply
2d

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AI Driven Automation Solutions Architect (Pharma)
PA Solutions —Lewis Center, OH
The software uses pre‑defined, rule‑based filters which operate on fixed criteria and do not perform autonomous evaluation or generate independent…
Applied ML Scientist - Active Learning
Hexion Inc. —Columbus, OH
Bachelor's degree in Computer Science, Data Science, Statistics, Operations Research, or a related field, with substantial relevant experience in ML modeling or…

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applied ai/ml engineer jobs near columbus

AI Driven Automation Solutions Architect (Pharma)

PA Solutions -
Lewis Center, OH

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Job Details

Qualifications

AI models
Technical engineering
On-site technical support
Defect resolution root cause analysis
Computer Science
Technical documentation
Enterprise software
Defect analysis
Engineering
IT system monitoring
Testing and evaluation
Regulatory compliance
Software implementation
Amazon SageMaker
Configuration management
Application deployment
Information Systems
GMP
Mid-level
AI platforms (beyond public GPTs)
Enterprise software support
Manufacturing facility experience
Machine learning cloud services
Machine intelligence
Bachelor's degree in engineering
Cloud security
Change management for system development
Cloud service support
Model deployment
Pharmaceutical company experience

Full Job Description

Your responsibilities

We are seeking an Engineer to provide on-site engineering and application support for pharmaceutical manufacturing operations in New Albany, Ohio. This role supports Line Clearance and other DISO applications, while also contributing to the operation and support of production-grade AWS-based machine learning platforms used in regulated manufacturing environments. This is a newly created role intended to strengthen on-site support, improve response times, and ensure reliable, compliant operation of critical manufacturing and digital systems.

Your responsibilities

Provide on-site engineering and application support for Line Clearance systems and other DISO applications
Support day-to-day operations, troubleshooting, and incident resolution for production and quality-critical systems
Collaborate with manufacturing, quality, IT, and digital teams to ensure system availability, performance, and compliance with GMP requirements
Support AWS-based ML platforms used in manufacturing and quality use cases, including monitoring, operational support, and controlled deployments
Assist with system configuration, testing, validation, and documentation activities in accordance with site and regulatory standards
Participate in change management activities, including impact assessments, implementation support, and post-change verification
Support investigations and root cause analysis related to application or data issues
Coordinate with global engineering, IT, and data platform teams as needed
Maintain clear documentation and communication aligned with site procedures and operational best practices

Your profile

Bachelor’s degree in Engineering, Computer Science, Information Systems, or a related technical discipline
Experience supporting manufacturing or quality systems in regulated environments (pharmaceutical, biotech, or life sciences)
Experience with Line Clearance processes and Machine Learning applications
Strong troubleshooting, analytical, and problem-solving skills
Ability to work effectively in an on-site, cross-functional environment
Strong written and verbal communication skills
Experience supporting production-grade AWS-based machine learning platforms, including:
AWS SageMaker Pipelines for ML workflow orchestration
Model versioning and governance using Amazon SageMaker Model Registry or equivalent tools
Deployment and operation of ML solutions across multi-account AWS environments (development, validation, and production)
Understanding of MLOps best practices, including model lifecycle management, CI/CD for ML, monitoring, and controlled promotion across environments
Familiarity with AWS Well-Architected Framework principles, particularly security, reliability, and operational excellence, as applied to ML platforms

Preferred Qualifications

Experience working in GMP-regulated manufacturing environments
Exposure to system validation, change control, and regulated documentation practices
Experience supporting cloud-based data or analytics platforms in life sciences
Knowledge of pharmaceutical manufacturing workflows and quality systems
Prior experience supporting Amgen systems or similar enterprise manufacturing environments

Disclaimer on the Use of AI in our Recruitment Process

To ensure our hiring process is fair, ethical, and transparent, ATS incorporates the use of AI technologies to enhance the recruitment process. We utilize Microsoft CoPilot to assist with the development and posting of job descriptions and assist with recruitment administrative tasks. The software uses pre‑defined, rule‑based filters which operate on fixed criteria and do not perform autonomous evaluation or generate independent recommendations. Microsoft Team Transcript is used to capture and document candidate interviews. Prior to the start of any interview, you will be asked if you consent to the use of transcript. The decision is yours and it will be honored by ATS.

The use of AI within our recruitment process is governed by the following core principles:

Human Oversight and Accountability – AI is used solely to augment, not replace human judgment. All decisions regarding CV/resume screening, who to interview, and who to hire are made by ATS hiring managers and recruitment teams.
Transparency and Data Protection – ATS will inform candidates when AI is being used to transcribe an interview to ensure our notes are complete and accurate. Candidates may choose whether or not to allow the use of transcript. All applicant data, including AI-generated interview notes, is treated as a confidential recruitment record and managed in accordance with applicable data protection laws.
Fairness and Equality – ATS is committed to ensuring the use of AI is vetted and assessed to ensure it is not creating or perpetuating bias or discrimination.

Apply Now

Refine Your Search

applied ai/ml engineer jobs in columbus

AI Driven Automation Solutions Architect (Pharma)

Applied ML Scientist - Active Learning

Applied AI Engineer, Founding Team

Head of AI

Sr AI Machine Learning Engineer

Technical Lead - Biological Systems Modeling Analytics

Lead Software Engineer - SAP - BTP AI Developer

AI Driven Automation Solutions Architect (Pharma)

Network Engineer, Reliability & Observability

Machine Learning Engineer, Robot Learning, Loco-Manipulation

Python Terraform AWS DevOps MLOps Lead Software Engineer

Senior Machine Learning Engineer (Reinforcement Learning/World Model)

AI Engineering & Platform Leadership Senior Manager - Utilities

Quality Analytics Site Lead

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