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Entry Level Machine Learning Engineer Jobs in Columbus, OH

Deloitte

AI Solutions Architect

Columbus, OH · On-site

$60.75 - $80.25/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Deloitte

AI Data Engineer - Manager

Columbus, OH · On-site

... machine learning models and large language models. • Conduct research to provide technical ... & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot ...

Deloitte

Senior AI Engineer - SFL Scientific

Columbus, OH · On-site

$100.90K - $138.60K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Pwc

NGA AI Engineer Manager

Columbus, OH

$73.50K - $244K/yr

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 ...

Pwc

CTIO-AI Engineer-Sr Associate

Columbus, OH

$55K - $187K/yr

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 ...

Actalent

Computer Vision Engineer

Marysville, OH · On-site

$102.40K - $120.80K/yr

Support and implement analytical processes such as machine learning and advanced data analysis from ... Bachelor's degree in engineering or an engineering-related field such as electrical engineering ...

Fiserv, Inc.

AI Engineer

Columbus, OH · On-site

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat ...

Monitise

AI Engineer

Columbus, OH

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat ...

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Entry Level Machine Learning Engineer information

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

As of May 31, 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.
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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:
Entry Level Machine Learning Engineer jobs near you
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.
Product Manager - Machine Learning Intelligence Operations

Product Manager - Machine Learning Intelligence Operations

JPMorgan Chase & Co

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 23 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

JPMorgan Chase Consumer and Community Bank (CCB)is seeking a talented and highly motivated leader to join the Machine Learning & Intelligent Operations (MLIO) team as Vice President, Product Manager. This role will support the Transcription and Conversational Insights Product Area. The MLIO team is dedicated to developing innovative solutions using AI, machine learning, and a design-thinking approach to significantly enhance both customer and employee experiences.

As a Product Manager in Machine Learning & Intelligent Operations  (MLIO) team, you will define the strategy for your product, design, and execute on the product roadmap while embracing the latest Artificial Intelligence (AI) technologies and best practices. You will lead cross-functional teams comprising technologists, data scientists, researchers, designers, and analytics members to modernize the service experience for tens of millions of customers. Your relentless focus on the customer and employee experience will help establish the team's priorities to maximize the value of the product and the work of the modeling and development teams.

Job responsibilities

  • Define the product strategy, roadmap, prioritization, and backlog for machine learning applications

  • Lead agile product teams that include product associates, data scientists, machine learning engineers, and data analytics members

  • Manage existing product features and actively lead the research, definition, and development of new features to advance the product roadmap and performance

  • Maximize product value delivered through backlog creation, management, and prioritization of epics and user stories

  • Partner with user research and business/operations teams to analyze and ideate customer experience, behavior, and improvement opportunities

  • Prioritize strategies and solutions to enhance self-service utilization and reduce customer contact volume

  • Collaborate with Controls/Risk, Audit, Compliance, Data & Model Governance, and Technology to ensure readiness to deliver on the product roadmap

  • Stay abreast of industry trends, emerging technologies, and best practices in AI and machine learning to continuously improve product offerings

  • Foster a culture of innovation, collaboration, and continuous improvement within the team

Required qualifications, capabilities, and skills

  • 6+ years of experience in Technical Product Management, ideally with AI/ML-related products

  • Proven experience leading multi-disciplinary teams in a large, matrixed organization and fast-paced agile development environment

  • Demonstrated ability to make strategic decisions while candidly challenging the status quo to drive the right employee and customer outcomes

  • Applied expertise in a variety of AI and machine learning techniques and technologies

  • Strong technical acumen: ability to independently manage large and complex relationships with internal technology partners

  • Ability to harness data and the power of analytics and customer insights for comprehensive strategy planning

  • Excellent communicator with the ability to fluidly interact with senior leaders, key stakeholders, employees, and third-party vendors

  • Preferred qualifications, capabilities, and skills

    • Experience working in or with customer service operations

  • Strong problem-solving skills and the ability to think creatively and strategically

  • Experience with cloud-based AI/ML platforms and tool

Why Join Us

  • Be part of a forward-thinking team that is at the forefront of AI and machine learning innovation

  • Work on impactful projects that transform customer and employee experiences

  • Collaborate with a diverse and talented team of professionals

  • Enjoy a dynamic and inclusive work environment that fosters growth and development

  • If you are passionate about leveraging AI and machine learning to drive customer service transformation and have a proven track record in product management, we encourage you to apply

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

Operations teams develop and manage innovative, secure service solutions to meet clients' needs globally. Developing and using the latest technology, teams work to deliver industry-leading capabilities to our clients and customers, making it easy and convenient to do business with the firm. Teams also drive growth by refining technology-driven customer and client experiences that put users first, providing an unparalleled experience.

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