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Java Machine Learning Jobs in Ohio (NOW HIRING)

Junior Java/C++ Developer

Cleveland, OH · On-site

$64K - $84K/yr

Knowledge of Core Java, javascript, C++ or software programming * Spring boot, Microservices ... Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning

Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and ... in Java or similar languages * Intermediate proficiency in a low-level or performant language

Strong understanding of machine learning algorithms, neural networks, and deep learning * Proficiency in programming languages such as Python, R, C++, or Java * Experience with machine learning ...

Sr Advanced Cloud Developer

Mason, OH · On-site

$56.50 - $73.25/hr

Write high-quality, testable code in Python, Java, Scala, Go, or C#. * Conduct deep technical ... AI, Machine Learning & MLOps * Build, train, evaluate, and deploy machine learning models using ...

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Java Machine Learning information

See Ohio salary details

$14

$53

$73

How much do java machine learning jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for java machine learning in Ohio is $53.90, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $60.34 per hour, depending on experience, location, and employer.

Which 5 jobs will survive AI?

For a Java Machine Learning professional, roles that require complex problem-solving, domain expertise, and human judgment such as data scientists, AI researchers, software engineers, cybersecurity analysts, and AI ethics specialists are likely to persist. These jobs involve tasks that are difficult to automate fully and often require continuous learning and adaptation. Skills in programming, critical thinking, and understanding of AI tools will remain valuable in these fields.

What is a Java Machine Learning job?

A Java Machine Learning job involves developing and deploying machine learning models using Java-based frameworks and libraries. Professionals in this role work on data preprocessing, model training, optimization, and integration into applications. They often use tools like Weka, Deeplearning4j, or Apache Spark MLlib. Strong knowledge of Java, machine learning algorithms, and data structures is essential.

Which pays more, C++ or Java?

In the context of Java Machine Learning roles, C++ developers often earn higher salaries due to their expertise in performance-critical applications and system-level programming. However, Java developers tend to have more job opportunities in enterprise environments, which can influence salary differences. Overall, compensation varies based on experience, location, and industry demand for specific skills.

Is Java still useful in 2026?

Java remains a relevant language for Java Machine Learning roles in 2026 due to its stability, extensive libraries, and widespread use in enterprise applications. Skills in Java, along with knowledge of frameworks like Weka or Deeplearning4j, continue to be valuable for developing scalable machine learning solutions. Staying updated with Java versions and related tools is important for job competitiveness.

What engineers make $500,000?

Senior software engineers, especially those specializing in high-demand fields like machine learning, data science, or cloud computing, can earn $500,000 or more annually. Achieving this level typically requires extensive experience, advanced skills, and often working in high-paying industries or companies with stock options and bonuses.

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

To thrive as a Java Machine Learning professional, you need strong Java programming skills, a solid understanding of machine learning algorithms, and a degree in computer science or a related field. Experience with frameworks such as Weka, Deeplearning4j, or Apache Spark MLlib, along with familiarity with data processing tools and industry-standard certifications, is often required. Problem-solving ability, teamwork, and effective communication are valuable soft skills for success in this role. These skills and qualities are critical for developing robust machine learning solutions, efficiently collaborating with technical teams, and addressing complex business challenges.

What are some common challenges faced by Java Machine Learning professionals on the job?

Java Machine Learning professionals often encounter challenges such as integrating machine learning models into existing Java-based production systems, optimizing algorithms for scalability and efficiency, and ensuring data quality for model training. They may also need to stay current with evolving machine learning libraries and approaches, requiring continuous learning and flexibility. Collaborating with data engineers, software developers, and business stakeholders is common, so strong interpersonal and project management abilities are crucial. Overcoming these challenges is key to successfully deploying high-performing, reliable machine learning solutions that meet organizational needs.

What are popular job titles related to Java Machine Learning jobs in Ohio? For Java Machine Learning jobs in Ohio, the most frequently searched job titles are:
Infographic showing various Java Machine Learning 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 $112,117 per year, or $53.9 per hour.
Applied AI ML-Senior Associate

Applied AI ML-Senior Associate

JPMorgan Chase & Co.

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 16 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description


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. In this role, you'll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You'll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.
As an Applied AI Engineer-Senior Associate within the Consumer & Community Banking Machine Learning team, you will work with agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job Responsibilities
  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies
  • Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture
  • Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
  • Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
  • Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics
  • Promote software and model quality, integrity, and security across the organization

Required qualifications, capabilities, and skills
  • Undergraduate and master's degrees in Computer Science or similar , with training and work experience in LLM/NLP and search.
  • Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
  • Experience in machine learning frameworks, ML Ops tools and practices.
  • Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
  • Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
  • Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)

Preferred qualifications, capabilities, and skills
  • Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).

About Us
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
About the Team
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.

What JPMorgan Chase & Co. employees say

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