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Ml Engineer Jobs in Ohio (NOW HIRING)

Whiz Global LLC

ML Engineer

Columbus, OH · On-site

ML Engineer (AI/LLM & Cloud) Location: Jersey City, NJ (Hybrid - 3 Days Onsite) OR Columbus, OH (5 Days Onsite) Duration: Contract-to-Hire Job Summary We are seeking a highly experienced ML Engineer ...

Whiz Global LLC

ML engineer

Columbus, OH · On-site

ML Engineering role focused on building AI solutions and integrating them into the existing JPMorgan Chase ecosystem. * Work closely with Data Science teams and Subject Matter Experts (SMEs) to ...

Essilor

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

EssilorLuxottica Group

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

EssilorLuxottica

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

Share AI/ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize ...

Booz Allen Hamilton

Senior AI/ML Engineer

Dayton, OH · On-site

$99K - $225K/yr

R0242678 AI/ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize ...

Booz Allen Hamilton

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

AI/ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

AI/ML Engineer, Mid The Opportunity: As an Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will help design, build, and implement practical AI/ML capabilities that enhance mission ...

Booz Allen Hamilton

AI/ML Engineer, Senior

Dayton, OH · On-site

$99 - $225/hr

Senior AI/ML Engineer As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission systems and ...

Phase2 Technology

AI/ML Engineer, Senior

Dayton, OH · On-site

$99 - $225/hr

R0242678 AI/ML Engineer, Senior The Opportunity As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize ...

Booz Allen Hamilton

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

AI/ML Engineer, Mid The Opportunity: As an Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will help design, build, and implement practical AI/ML capabilities that enhance mission ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Mid

Dayton, OH · On-site +1

$77K - $176K/yr

Share AI/ML Engineer, Mid The Opportunity: As an Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will help design, build, and implement practical AI/ML capabilities that enhance ...

Booz Allen Hamilton

AI/ML Engineer, Mid

Dayton, OH

$77K - $176K/yr

AI/ML Engineer, Mid The Opportunity: As an Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will help design, build, and implement practical AI/ML capabilities that enhance mission ...

Booz Allen Hamilton

Mid AI/ML Engineer

Dayton, OH · On-site

$77K - $176K/yr

R0243806 AI/ML Engineer, Mid The Opportunity: As an Artifi cia l Intelligence and Machine Learning ( AI / ML ) Engineer, you will help design, build, and implement practical AI / ML capabilities that ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

Overview FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

Overview FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on ...

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Showing results 1-20

All JobsMl Engineer JobsMl Engineer Jobs in Ohio

Ml Engineer information

See Ohio salary details

$31.4K

$84.8K

$135K

How much do ml engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ml engineer in Ohio is $84,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $103,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often find opportunities in tech, finance, healthcare, and other sectors investing in AI solutions.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.
What are the most commonly searched types of Ml Engineer jobs in Ohio? The most popular types of Ml Engineer jobs in Ohio are:
What are popular job titles related to Ml Engineer jobs in Ohio? For Ml Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Ml Engineer jobs in Ohio look for? The top searched job categories for Ml Engineer jobs in Ohio are:
What cities in Ohio are hiring for Ml Engineer jobs? Cities in Ohio with the most Ml Engineer job openings:
Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Ohio as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $84,786 per year, or $40.8 per hour.

ML Engineer

Whiz Global LLC

Columbus, OH • On-site

Other

Posted 16 days ago

Job description

Job Title: ML Engineer (AI/LLM & Cloud)

Location: Jersey City, NJ (Hybrid – 3 Days Onsite) OR Columbus, OH (5 Days Onsite)
Duration: Contract-to-Hire

Job Summary

We are seeking a highly experienced ML Engineer to design, build, deploy, and integrate enterprise-scale AI/ML solutions within the JPMorgan Chase ecosystem. This role focuses on engineering production-ready machine learning applications, Large Language Model (LLM) solutions, and cloud-native ML platforms while partnering closely with Data Science teams and business stakeholders.

The ideal candidate is a hands-on engineer with strong Python expertise, cloud experience, and MLOps knowledge who can lead technical initiatives and deliver scalable AI solutions.

Key Responsibilities
  • Design, develop, deploy, and maintain scalable AI/ML applications.
  • Build production-ready machine learning systems and infrastructure.
  • Productionize machine learning models developed by Data Science teams.
  • Design and deploy Large Language Model (LLM) applications.
  • Integrate AI solutions into AWS and JPMorgan Chase internal cloud platforms.
  • Develop scalable model serving and inference pipelines.
  • Implement CI/CD pipelines for ML applications.
  • Build monitoring, observability, model drift detection, and automated retraining solutions.
  • Optimize AI applications for performance, scalability, reliability, and cost.
  • Collaborate with Product Managers, Data Scientists, Software Engineers, and Business SMEs.
  • Mentor junior engineers and provide technical leadership through architecture guidance and code reviews.
  • Research and implement modern AI/ML technologies and best practices.
Required Qualifications
  • Bachelor''s or Master''s degree in Computer Science, Engineering, Data Science, or a related field.
  • 10+ years of hands-on experience developing and deploying machine learning solutions in production.
  • Expert-level programming experience with Python.
  • Basic understanding of Java or Scala.
  • Strong experience with software engineering principles, data structures, algorithms, and distributed systems.
  • Extensive experience with AWS Cloud.
  • Experience deploying applications across public cloud and enterprise cloud platforms.
  • Hands-on experience with Docker and Kubernetes.
  • Strong experience with MLOps tools including MLflow, Kubeflow, SageMaker, or Vertex AI.
  • Experience implementing CI/CD pipelines for machine learning applications.
  • Experience designing scalable ML infrastructure and distributed data processing systems.
  • Proven ability to lead technical initiatives and mentor engineering teams.
Preferred Qualifications
  • Experience building and deploying Large Language Model (LLM) solutions.
  • Hands-on experience with Amazon Bedrock.
  • Experience with Generative AI applications.
  • Strong understanding of TensorFlow, PyTorch, or Scikit-learn.
  • Experience with Deep Learning, NLP, or Computer Vision.
  • Experience with distributed model training and high-throughput inference systems.
  • Knowledge of model optimization and AI performance tuning.

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