1

Entry Level Machine Learning Engineer Jobs in Columbus, OH

AI Data Engineer - Manager

Columbus, OH

$110.60K - $132.80K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

AI and Data Science Engineer III

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Senior AI Engineer - SFL Scientific

Columbus, OH · On-site

$100.90K - $138.60K/yr

Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a ... machine learning applications. Responsibilities : • Work with clients to design, develop, and ...

New

AI Data Engineer Senior Consultant

Columbus, OH · On-site

$110.60K - $132.80K/yr

They are seeking an AI Data Engineer Senior Consultant to build and operate the data, features, and ... machine learning training and real-time inference, including online and offline consistency ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

next page

Showing results 1-20

Entry Level Machine Learning Engineer information

See Columbus, OH salary details

$29K

$67K

$114K

How much do entry level machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level machine learning engineer in Columbus, OH is $67,010.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $75,800.00 per year, depending on experience, location, and employer.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
What are the most commonly searched types of Machine Learning Engineer jobs in Columbus, OH? The most popular types of Machine Learning Engineer jobs in Columbus, OH are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Columbus, OH? For Entry Level Machine Learning Engineer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Columbus, OH look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Entry Level Machine Learning Engineer jobs? Cities near Columbus, OH with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Columbus, OH as of May 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $67,010 per year, or $32.2 per hour.

Urgent Hiring || Python Engineer (AI/ML) OR Data Engineer with AI/ML | USC, GC, EADs | Columbus OH

HighFalutin LLC

Columbus, OH • On-site

Contractor

Posted 12 days ago


Job description

Please find the JD for below role and let me know if you are interested then please share your updated resume.

Python Engineer (AI/ML) OR Data Engineer with AI/ML OR Data Science (AI/ML)

Columbus OH
Relocation is open with prior history/ reason

Visa: USC, GC, EADs

Must Have Skills:

Need Python development and some experience in ML/AI

 

Must:    Python , Spark/Pyspark, AWS

Plus:      Data Bricks, Terraform

With AI/ML - preferred

Required qualifications, capabilities, and skills

Formal training or certification on Software Engineering concepts and 5+ years applied experience

Hands-on with building AI agents and Machine learning

Hands-on practical experience delivering system design, application development, testing, and operational stability

Strong hands-on coding capabilities in languages / platforms such as PySpark / Python / Databricks

Proficiency in automation and continuous delivery methods

Proficient in all aspects of the Software Development Life Cycle

Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

In-depth knowledge of the financial services industry and their IT systems