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Junior Machine Learning Engineer Jobs in Ohio (NOW HIRING)

Diverse Lynx

ML Engineering Delivery

Cincinnati, OH · On-site

Machine Learning Engineer Machine Learning Engineering Delivery Location: Blue Ash, OH Competencies ... Leadership Mentoring o Provide technical leadership and mentorship to ML Engineers and junior team ...

SynergisticIT

AI Engineer - Junior

Cleveland, OH · On-site

Excellent written and verbal communication skills For Data Science/Machine Learning: * Bachelors ... Experience in programming language Java and understanding of the software development life cycle

SynergisticIT

Junior Software Engineer

Cincinnati, OH · On-site

For data science/machine learning positions required skills Bachelors degree or masters degree in ... computer engineering, electrical engineering, information systems, IT project work on the ...

CGI

Machine Learning Operations Engineer

Strongsville, OH · On-site

$62K - $139K/yr

Machine Learning Operations Engineer We are seeking an experienced MLOps Engineer with strong expertise in Python and big data technologies to join our team. This role focuses on operational ...

Diverse Lynx

AI/ML Engineer

Cincinnati, OH · On-site

$65 - $70/hr

Machine Learning Engineer Blue Ash, OH Contract Rate--$65/hr-$70/hr on C2C ML Engineering Delivery ... Leadership Mentoring Provide technical leadership and mentorship to ML Engineers and junior team ...

Varsity Tutors

Machine Learning Tutor

Columbus, OH · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Akron, OH · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Cincinnati, OH · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Cleveland, OH · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Ohio

Junior Machine Learning Engineer information

See Ohio salary details

$31.8K

$68.3K

$104.1K

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

As of Jun 23, 2026, the average yearly pay for junior machine learning engineer in Ohio is $68,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,100.00 and $76,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What engineers make $500,000?

Senior engineers in fields such as software, data engineering, and specialized roles like machine learning engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does a junior ML engineer earn?

A junior machine learning engineer typically earns between $60,000 and $90,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in developing, testing, and deploying machine learning models under the supervision of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, and implementing algorithms using frameworks like TensorFlow or PyTorch. They also help maintain data pipelines and ensure models perform efficiently in production environments. This role is typically entry-level, providing valuable hands-on experience in applying machine learning concepts to real-world problems.

Which 5 jobs will survive AI?

For a Junior Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist alongside AI advancements. These include jobs in healthcare, education, research, specialized technical fields, and management, where human judgment and empathy remain essential. Developing skills in domain expertise, critical thinking, and interdisciplinary knowledge can help ensure long-term employability in an evolving AI landscape.

Can I learn ML in 3 months?

Learning machine learning as a Junior Machine Learning Engineer in three months is possible for individuals with prior programming experience and a strong foundation in mathematics. Focused study on core concepts, practical projects, and familiarity with tools like Python and scikit-learn can help build foundational skills within this timeframe, but mastering advanced topics typically requires longer-term experience. Real-world proficiency often depends on ongoing practice and continuous learning beyond initial training.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Ohio? The most popular types of Machine Learning Engineer jobs in Ohio are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Ohio? For Junior Machine Learning Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Ohio look for? The top searched job categories for Junior Machine Learning Engineer jobs in Ohio are:
What cities in Ohio are hiring for Junior Machine Learning Engineer jobs? Cities in Ohio with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Ohio as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,259 per year, or $32.8 per hour.

Software Engineer, Junior

Skyline Scientific Inc

Dayton, OH

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

JOB TITLE/TYPE:
Software Engineer, Junior
JOB SUMMARY
Are you looking for more than just a seat on a contract? Are you looking for more than just a seat on a contract? Are you tired of big-box defense contractors where your contributions get lost in layers of bureaucracy? At Skyline Scientific, your skills will shape the future.
Skyline Scientific is looking for a strong Python software engineer who is excited to work on machine learning-enabled sensor-data workflows, neural network training pipelines, automation tools, and algorithm development in support of national security missions. This role is ideal for someone who can do more than write assigned code. We are looking for someone who can understand a technical problem, design the software logic, build modular workflows, and work closely with sensor, data, and machine learning experts to turn complex technical concepts into usable tools.
You do not need to be the sensor expert on day one. You also do not need to be a machine learning research scientist. You do need to be a strong coder, a clear thinker, and someone who is excited to work with scientists and engineers to build software that supports simulation, training data workflows, automation, analysis, and operational decision-making.
We offer top-tier benefits, an entrepreneurial culture, and a tight-knit team of experts who are passionate about their craft. If you're looking for real engineering challenges, supportive leadership, and the ability to make a direct impact, this is the place for you.
This job opportunity is in Dayton, Ohio, and entails direct support to clients at Wright-Patterson AFB. Work may be performed in both Windows and Linux environments, including classified workspaces. Candidates must be comfortable working in secure customer environments.
Why Skyline Scientific?
  • Technical Mission Work: Build Python-based tools for sensor data, scientific data, training pipelines, simulation, automation, and mission analytics.
  • Small Expert Team: Work directly with scientists, sensor experts, machine learning specialists, and customers without excessive bureaucracy.
  • Industry-Leading Benefits: 15% employer 401(k) contribution with no employee contribution required, employer-paid healthcare, and one of the strongest benefits packages in the industry.

JOB RESPONSIBILITIES:
  • Develop and maintain Python-based software for scientific, analytical, simulation, automation, machine learning, and operational applications.
  • Work with sensor experts, scientists, machine learning specialists, and analysts to translate technical concepts into software requirements, logic trees, schematics, and executable workflows.
  • Create clear software architecture, block diagrams, code structure, and documentation so that tools can be maintained, extended, and transitioned to other users.
  • Test, integrate, troubleshoot, and optimize algorithms, data pipelines, machine learning-enabled tools, and software modules into deployable software packages.
  • Manage, maintain, and optimize Git repositories

REQUIRED QUALIFICATIONS:
  • Bachelor's degree in Engineering, Computer Science, Mathematics, Physics, Data Science, or a related STEM field. Equivalent technical experience may be considered.
  • 3+ years of algorithm development, scientific computing, machine learning workflow support, or related technical software experience.
  • Programming experience for software development, data processing, automation, analysis, or algorithm implementation.
  • Ability to work from technical requirements and create logical software architecture, workflows, and implementation plans.
  • Comfortable collaborating with subject matter experts to understand data, algorithms, mission needs, and technical constraints.
  • Familiarity with source control and development tools such as Git, GitLab, Bitbucket, Jira, Jenkins, or similar tools.
  • U.S. citizenship and ability to obtain and maintain a security clearance.
  • Willingness and ability to work in classified or secure customer environments.

PREFERRED QUALIFICATIONS:
  • Active Top Secret, TS/SCI
  • Experience with machine learning workflows, neural network applications, training data preparation, data labeling, model evaluation, or ML-enabled analytics.
  • Experience with sensor data, scientific data, signal processing, image processing, simulation, modeling, or equivalent technical data workflows.
  • Experience developing software for simulation, modeling, data workflows, automation, mission analysis, or scientific/engineering applications.
  • Experience creating software architecture diagrams, workflow schematics, logic trees, or technical implementation plans.
  • Background in mathematics, engineering, physics, image science, electrical engineering, computer engineering, or scientific computing.
  • Experience using Git Repository
  • Experience integrating algorithms into existing software suites or operational workflows.
  • Experience supporting defense, intelligence, aerospace, scientific, engineering, or classified customer environments.
  • Self-motivated, adaptable, and comfortable learning new technical domains.

BENEFITS:
  • Attractive Salary
  • Paid Time Off (PTO): 25 days
  • Medical, Dental & Vision: Employer-Paid
  • Disability & Life Insurance Coverage
  • 401k:15% Employer Match (no contribution required)
  • Profit Sharing Options
  • Compressed Workweek Options
  • Annual Performance Bonus
  • Referral & Incentive Bonus Opportunities
  • Professional Development & Education Assistance
  • Relocation Assistance Options

Join Skyline Scientific-Where Innovation Meets Mission.
This isn't a role where you'll sit idle on a contract-it's an opportunity to design, develop, and deploy advanced software and AI-driven solutions that impact national security.
If you're looking for a position where your expertise is valued, your work makes a difference, and you're surrounded by top-tier talent, apply today.
Our company is an Equal Employment Opportunity employer. We do not discriminate in employment opportunities or practices based on race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law. We are committed to creating a diverse and inclusive work environment where all employees are valued and respected.

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