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Artificial Intelligence Machine Learning Engineer Jobs in Ohio

New Vista Behavioral Health

AI Engineer

Cincinnati, OH · On-site

$70K - $80K/yr

Artificial Intelligence Engineer: We are currently seeking candidates for an Artificial ... This role blends machine learning engineering with advanced Power BI development to deliver ...

New

The Hartford

Sr AI Machine Learning Engineer

Columbus, OH · Hybrid

$117K - $175K/yr

... intelligence with which we make our decisions. As a Senior Machine Learning AI Engineer, you will ... play a critical role in designing, building, and operationalizing productiongrade AI solutions ...

Deloitte

Lead Business Transformation Architect

Columbus, OH · On-site

$53.25 - $73.25/hr

Responsibilities : • Translating business needs into artificial intelligence and machine learning ... developers, and cross-functional teams to define requirements, secure alignment, and support ...

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Artificial Intelligence Machine Learning Engineer information

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$29.9K

$122.4K

$184K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for artificial intelligence machine learning engineer in Ohio is $122,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $147,400.00 per year, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI or machine learning engineers, research directors, or executive positions in artificial intelligence. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation. Compensation at this level reflects extensive expertise, strategic impact, and often involves stock options or bonuses in addition to base salary.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What engineers make $500,000?

Artificial Intelligence and Machine Learning Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work in high-demand industries like tech or finance. Compensation often includes base salary, bonuses, and stock options, particularly at senior levels or in leadership roles.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

Is AI ML engineer in demand?

AI and ML engineers are in high demand across various industries due to the increasing adoption of artificial intelligence technologies. Companies seek professionals skilled in programming languages like Python, machine learning frameworks, and data analysis to develop and implement AI solutions, leading to strong job growth and competitive salaries in this field.

How much do AI ML engineers make?

AI ML engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can command higher salaries, often exceeding $200,000.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Ohio? For Artificial Intelligence Machine Learning Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Ohio look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Ohio are:
What cities in Ohio are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in Ohio with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Ohio as of June 2026, with employment types broken down into 87% Full Time, 8% Part Time, 3% Contract, and 2% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $122,420 per year, or $58.9 per hour.

Senior Lead Software Engineer - Senior Python Developer

JPMorganChase

Columbus, OH • On-site

Full-time

Posted 23 days ago

Job description

Job Summary:
JPMorgan Chase is one of the oldest financial institutions, offering innovative financial solutions to a diverse clientele. The Senior Lead Software Engineer will play a crucial role in delivering software solutions within the Cybersecurity Technology & Controls team, focusing on preventing misuse and addressing cybersecurity challenges.
Responsibilities:
• Facilitates security requirements clarification for multiple networks to enable multi-level security to satisfy organizational needs
• Works with stakeholders and senior business leaders to recommend business modifications during periods of vulnerability
• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors, leveraging cloud-native backend systems and infrastructure-as-code tools such as Terraform and AWS CloudFormation
• Architect and deploy scalable solutions on AWS Cloud & develops secure and high-quality production code, and reviews and debugs code written by others, utilizing modern CI/CD workflows and containerization technologies (Docker)
• Drives decisions that influence the product design, application functionality, and technical operations and processes, including the serverless solutions
• Serves as a function-wide subject matter expert in one or more areas of focus, such as scalable backend development, AI-powered agents, and data automation pipelines
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle, including observability and monitoring solutions (CloudWatch, Datadog, Prometheus)
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies, such as LLMs (OpenAI, Bedrock), AI frameworks (LangChain, LlamaIndex), and vector databases (OpenSearch)
Qualifications:
Required:
• Formal training or certification on software engineering concepts and 5+ years applied experience, including backend software development using Python
• Hands-on practical experience delivering system design, application development, testing, and operational stability in AWS Cloud environments
• Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Advanced in one or more programming language(s), with deep expertise in Python and experience designing RESTful APIs and microservices
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, etc.), including data modeling with SQL databases (PostgreSQL,Aurora)
• Ability to tackle design and functionality problems independently with little to no oversight, including integrating AI/LLM-based services and building intelligent automation components
• Practical cloud native experience, including exposure to event-driven and serverless architectures, and understanding of security best practices in AWS environments (IAM, KMS, VPC, Secrets Manager)
• Skilled in planning, designing, and implementing enterprise-level security solutions
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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