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Junior Machine Learning Jobs in Ohio (NOW HIRING)

Machine Learning Engineer II

Columbus, OH · On-site

$94.20K - $128.90K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the ... Mentor and guide junior team members, establish and champion best practices, and foster a culture ...

Machine Learning Engineer II

Columbus, OH · On-site

$94.20K - $128.90K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the ... Mentor and guide junior team members, establish and champion best practices, and foster a culture ...

Machine Learning Engineer II

Columbus, OH · On-site

$91.10K - $124.70K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the ... Mentor and guide junior team members, establish and champion best practices, and foster a culture ...

Sr AI Machine Learning Engineer

Columbus, OH · On-site

$117.20K - $175.80K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable ...

Machine learning engineers Who Should Apply * Recent graduates in Computer Science, Engineering ... Clients require relevant skills and experience on real-world projects, even for junior or ...

Excellent written and verbal communication skills For Data Science/Machine Learning: * Bachelors ... it's a junior or entry-level position. The additional skills and project work with hands-on ...

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Junior Machine Learning information

See Ohio salary details

$7

$25

$45

How much do junior machine learning jobs pay per hour?

As of May 28, 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 are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

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 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 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 are popular job titles related to Junior Machine Learning jobs in Ohio? For Junior Machine Learning jobs in Ohio, the most frequently searched job titles are:
Junior machine learning engineer/Data Scientist/Java Software engineer

Junior machine learning engineer/Data Scientist/Java Software engineer

SynergisticIT

Columbus, OH • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

"Let's Get Responses to your Applications! Make Hiring Managers Notice You."
Your Resume Isn't the Problem - Your Positioning Is!

Most job seekers blame their resume when they don't get interviews, but the real issue is positioning. Employers want candidates who demonstrate practical skills, confidence, and readiness.
If your applications disappear into a black hole, you're experiencing the modern hiring funnel. Most resumes never reach a hiring manager. They're filtered by ATS systems, keyword screening, and recruiters looking for job-ready signals-specific stacks, strong project depth, relevant certifications, and clear experience narratives. That's why "I applied a lot" often leads to silence. The fix is not more applications. The fix is improving what your application communicates in the first 10 seconds.
Since 2010, SynergisticIT has helped candidates land full-time roles at organizations such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and hundreds more. Many JOPP graduates achieve offers in the $90,000 to $154,000 range depending on their role focus and skill coverage. Our purpose is to align your skills and profile with what employers are hiring for right now-so you get responses, interviews, and offers.
Why you may not be getting replies
  • Your resume lacks stack clarity (recruiters can't quickly see your fit)
  • Projects look like tutorials (no depth, no real-world features, no measurable outcomes)
  • Skills are scattered (no coherent narrative: "What role are you targeting?")
  • You're missing job-market staples (Git, CI/CD basics, APIs, cloud exposure, SQL)
  • You're not speaking the language of the job description
SynergisticIT approaches this from both angles: build real skills and build a market-ready profile. preparing you for screening, interview calls, technical rounds, and offer negotiation readiness.
Target roles and stacks
Current demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers. The focus remains consistent: Java / Full Stack / DevOps plus Data Analytics / Data Engineering / Data Science / Machine Learning / AI. This breadth matters because today's employers value candidates who can handle more than one layer of the system.
Ideal candidates for response-building support
Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers needing a stable tech role. SynergisticIT also provides support and guidance around STEM extension, and process support related to H-1B and Green Card filing once employed (as applicable through employers).
If you want to explore, here are the key links:
  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
  • Contact Us (Fill the Form): https://www.synergisticit.com/contact-us/

If recruiters aren't responding, it's not the end-it's feedback. And you can fix it with the right plan.
Please read our blogs
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
What Recruiters Look for in Junior Developers | SynergisticIT
Software engineering or Data Science as a career?
How OPT Students Can Land Tech Jobs - SynergisticIT
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