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Sr Machine Learning Engineer Jobs in Ohio (NOW HIRING)

Machine Learning Engineer II

Columbus, OH ยท On-site

$115 - $150/hr

Machine Learning Engineer II page is loaded## Machine Learning Engineer IIlocations: United States of America - Ohio - Columbustime type: Full timeposted on: Posted Todayjob requisition id: R6424*

Job Overview We are seeking a highly skilled Machine Learning / Generative AI Engineer to join a team developing AI-powered solutions for a major financial services organization. The ideal candidate ...

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the cybersecurity industry, delivering innovative solutions to protect businesses and individuals from ...

Machine Learning Engineer II

Columbus, OH ยท On-site

$94K - $128K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the cybersecurity industry, delivering innovative solutions to protect businesses and individuals from ...

Senior AI Machine Learning Engineer

Columbus, OH ยท On-site

$118K - $156K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Showing results 21-40

Sr Machine Learning Engineer information

See Ohio salary details

$56.6K

$120.3K

$174.5K

How much do sr machine learning engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for sr machine learning engineer in Ohio is $120,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $136,400.00 per year, depending on experience, location, and employer.

What is a Sr Machine Learning Engineer?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

What is the difference between Sr Machine Learning Engineer vs Data Scientist?

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

What are popular job titles related to Sr Machine Learning Engineer jobs in Ohio?

For Sr Machine Learning Engineer jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Sr Machine Learning Engineer jobs?

Cities in Ohio with the most Sr Machine Learning Engineer job openings:

Infographic showing various Sr Machine Learning Engineer job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,317 per year, or $57.8 per hour.

Machine Learning Engineer

Etegent Technologies, Ltd

Beavercreek, OH โ€ข On-site

$52 - $68.75/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 8 days ago


Job description

Job Type
Full-time
Description
About the Company:
Etegent Technologies is a defense-focused technology company with offices in Beavercreek and Blue Ash, OH. We are a multi-disciplinary team of engineers, scientists, and management professionals dedicated to developing and commercializing AI/ML/Software solutions that address our customers' most significant challenges and opportunities.
Most important to us are our culture and values. Etegent's culture embodies respect, authenticity, collaboration, flexibility, curiosity, and fun.
The Position:
Etegent is seeking Machine Learning Engineers (MLEs) to work with our Intelligence, Surveillance, and Reconnaissance (ISR) group based in the Beavercreek office. MLEs will work in a team environment with Etegent teammates, customers, and other researchers from leading academic institutions, government organizations and commercial entities.
We deliver solutions in the domains of AI/ML, data science, software, and visualization to address geospatial intelligence (GEOINT) challenges for Department of Defense and Intelligence Community (DoD/IC) customers. We develop data science tools to analyze large, diverse datasets from a variety of sensor types (SAR, ISAR, GMTI, HIS, EO, IR). We design and implement algorithms to perform pattern recognition, such as statistical and deep learning techniques, to identify meaningful trends and patterns. We wrap these algorithms in accessible, scalable software to be deployed on customer systems, often requiring containerized software and custom user interfaces for visualization.
This position is based in Beavercreek, OH with the expectation of being in Etegent's office or at a customer facility 5 days a week.
The Candidate:
More so than seeking a candidate with specific training and experience, Etegent is seeking a candidate with an innate curiosity and passion for learning and understanding, tempered by a recognition of the pragmatic constraints inherent in developing real solutions to real problems. Etegent needs an MLE who is flexible and adaptable, having the desire and ability to learn new skills and develop new capabilities to take on challenges outside their current realm of experience. We are seeking very sharp, curious, well-rounded, adaptable people who can learn and grow as required to confront the challenges at hand.
Job Responsibilities:
  • Effectively communicate status updates, and other important information, with the team and group leader.
  • Execute research-and-development tasks in close collaboration with the team and group leader according to a set project schedule.
  • Gives effective feedback to others; contributes to the writing of project updates and final reports.
  • Understand, design, and implement algorithms for signature exploitation. This includes traditional feature extraction and state-of-the-art deep learning approaches.
  • Implement efficient signal/image processing techniques including radar signal processing, electro-optical and infrared image processing.
  • Develop and deploy data science tools for ingestion, visualization, and analysis of large, diverse data sources.
  • Implement machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection.
  • Provide expertise in data analytics and algorithm development for diverse data sources and applications.
  • Apply statistical techniques to evaluate algorithm performance.
  • Coordinate with teammates and users to instantiate research concepts in efficient, modular, and well-documented software.

Requirements
Required Qualifications:
  • Bachelor's Degree in the fields of Computer Science, Engineering, Physics, Applied Math, or Statistics.
  • Previous experience signal processing, computer vision, or machine learning experience.
  • Experience developing ML models using standard ML frameworks (PyTorch, TensorFlow, or similar).
  • Background in data science, statistics, and/or computer vision.
  • Experience with Python, Git, and Linux.
  • Ability to acquire and maintain up to a TS security clearance.

Additional Qualifications for Senior-Level Candidates:
Senior-level candidates should also demonstrate:
  • Experience building and maintaining successful relationships with R&D customers while supporting business growth and development efforts.
  • Previous experience leading cross-functional project teams and driving projects to successful completion.

Preferred Qualifications:
  • Active TS security clearance.
  • Experience with remote sensing data products such as SAR, ISAR, EO, GMTI, HSI, and OPIR.
  • Experience creating python-based user interfaces for data visualization.
  • Experience developing scalable, modular software tools.
  • Familiarity with DoD/IC customers.
  • Experience maintaining successful relationships and developing business with R&D customers.
  • History of technical presentations and publications in relevant fields.

Attributes:
  • Independent and innovative thinker with an ability to work in an autonomous environment.
  • Demonstrates curiosity with a focus on innovating solutions for tasks.
  • Effective communicator who can collaborate with teammates and customers to solve problems.
  • Able to take personal ownership and responsibility over their work.

Working at Etegent:
At Etegent, you'll be a part of a fast-growing organization that combines a small-company feel with big-company resources and opportunities. We know that work-life balance is incredibly important, which is why in addition to your competitive salary, medical/dental/vision plan, and a generous annual company 401(k) contribution, you'll enjoy the following:
  • Flexibility: Not a morning person? No problem. We only ask that you begin your day by 10:00am. Also, you will enjoy a flexible schedule and some ability to telecommute.
  • Casual Dress: We know that incredible things can be achieved by people in casual clothing. We allow employees to dress in the way that is the most comfortable to them.
  • Professional Development: Continuous learning on us. Reimbursement provided for up to 100% of qualifying education expenses.
  • Food: Keep your energy levels up with our well-supplied snack and beverage kitchen and enjoy a weekly lunch with your talented colleagues on Free Lunch Thursdays.
  • Fun employee events: Enjoy frequent employee get-togethers outside of work!

Competitive compensation based on qualifications and experience of candidate.
Etegent Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, protected veteran status or disability.