1

Junior Machine Learning Jobs in Ohio (NOW HIRING)

This role focuses on engineering production-ready machine learning applications, Large Language ... Mentor junior engineers and provide technical leadership through architecture guidance and code ...

IT Data Scientist III

Cleveland, OH · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior data science developer specialized in design and development of machine learning models. Senior data scientists are expected to be self-sufficient and able to assist in coaching junior data ...

IT Data Scientist III

Brooklyn, OH · On-site

$120 - $160/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior data science developer specialized in design and development of machine learning models. Senior data scientists are expected to be self-sufficient and able to assist in coaching junior data ...

IT Data Scientist III

Cleveland, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior data science developer specialized in design and development of machine learning models. Senior data scientists are expected to be self-sufficient and able to assist in coaching junior data ...

AI Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Mentor and guide junior researchers and data scientists. * Stay updated on the latest trends and advancements in AI and machine learning. Qualifications: * Master's degree in Artificial Intelligence ...

$90K - $108K/yr

Mentor and guide junior researchers and data scientists. * Stay updated on the latest trends and advancements in AI and machine learning. Qualifications: * Master's degree in Artificial Intelligence ...

AI Engineer

Edison, OH · On-site

$90K - $108K/yr

Mentor and guide junior researchers and data scientists. * Stay updated on the latest trends and advancements in AI and machine learning. Qualifications: * Master's degree in Artificial Intelligence ...

$109K - $131K/yr

Mentor and guide junior researchers and data scientists. * Stay updated on the latest trends and advancements in AI and machine learning. Qualifications: * Master's degree in Artificial Intelligence ...

Lead AI and Data Science Engineer II

Cleveland, OH · On-site

$99K - $130K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

Lead AI and Data Science Engineer II

Columbus, OH · On-site

$99K - $130K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

Lead AI and Data Science Engineer II

Dayton, OH · On-site

$99K - $131K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

Lead AI and Data Science Engineer II

Cincinnati, OH · On-site

$98K - $129K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

Senior Data Scientist

Dublin, OH · On-site

  • Medical

  • Retirement

Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and ... Mentor junior data scientists and contribute to the development of team capabilities through code ...

Lead the development of advanced machine learning models, statistical frameworks, and optimization ... Mentor both junior data scientists on advanced analytical methodologies and software engineering ...

Lead Data Scientist

Columbus, OH · On-site

$100 - $130/hr

Lead the development of advanced machine learning models, statistical frameworks, and optimization ... Mentor both junior data scientists on advanced analytical methodologies and software engineering ...

Showing results 21-40

Junior Machine Learning information

See Ohio salary details

$7

$25

$45

How much do junior machine learning jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for junior machine learning in Ohio is $25.63, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $31.54 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What are the most commonly searched types of Machine Learning jobs in Ohio?

The most popular types of Machine Learning jobs in Ohio are:

What cities in Ohio are hiring for Junior Machine Learning jobs?

Cities in Ohio with the most Junior Machine Learning job openings:

Infographic showing various Junior Machine Learning job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $53,304 per year, or $25.6 per hour.

Other

Posted 24 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.