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Machine Learning Engineer Jobs in Kent, OH (NOW HIRING)

Penske

Staff Data Scientist

Beachwood, OH · On-site

Advanced experience developing and deploying machine learning models using Python and modern ML ... Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and ...

DataAnnotation

Automated QA Engineer - AI Trainer

Akron, OH · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

... machine learning, or generative AI can improve productivity, reduce cost, or unlock new ... Oversee the full model lifecycle: data exploration, feature engineering, model development ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

... machine learning, or generative AI can improve productivity, reduce cost, or unlock new ... Oversee the full model lifecycle: data exploration, feature engineering, model development ...

BWX Technologies

Data Engineer

Barberton, OH · On-site

$62K - $97K/yr

Automate data pipelines and analytics, for machine learning, digital twins, and data modeling. Job Qualifications / Requirements: * A bachelor's degree in computer science or computer engineering.

BWX Technologies

Data Engineer

Barberton, OH · On-site

$62K - $97K/yr

Automate data pipelines and analytics, for machine learning, digital twins, and data modeling. Job Qualifications / Requirements: * A bachelor's degree in computer science or computer engineering.

Huntington

Principal Innovation Engineer

Fairlawn, OH · On-site

$102K - $208K/yr

Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related technical field * 10+ years of experience in software engineering, technology ...

Huntington

Principal Innovation Engineer

Akron, OH · On-site

Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related technical field * 10+ years of experience in software engineering, technology ...

Huntington

Principal Innovation Engineer

Easton, OH · On-site

Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related technical field * 10+ years of experience in software engineering, technology ...

Henkel AG & Co. KGaA

Automation/Controls Engineer

Cleveland, OH · On-site

$81K - $107K/yr

Developing and implementing Machine Learning models to analyze production data, identify trends, and predict equipment failures, improving uptime and reducing unplanned downtime. * Leading site-level ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Kent, OH

Machine Learning Engineer information

See Kent, OH salary details

$28.7K

$117.4K

$176.4K

How much do machine learning engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning engineer in Kent, OH is $117,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $141,300.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What cities near Kent, OH are hiring for Machine Learning Engineer jobs? Cities near Kent, OH with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Kent, OH as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $117,412 per year, or $56.4 per hour.
Staff Data Scientist

Staff Data Scientist

Penske

Beachwood, OH • On-site

Full-time

Re-posted 16 days ago

Job description


Staff Data Scientist
Location: Beachwood, OH
Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate)
Position Summary:
The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives.
Major Responsibilities:
Identifying High Value Analytics & AI Opportunities
  • Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities.
  • Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership.

Lead Data Science Projects
  • Translate complex business requirements into robust, scalable technical solutions.
  • Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable.
  • Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement.
  • Ensure solutions are production ready, maintainable, and aligned with MLOps best practices.
  • Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement.

Technical Guidance & Thought Leadership
  • Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns.
  • Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows.
  • Contribute to the development of internal standards, reusable components, and best practice guidelines.

Project Management
  • Develop and maintain project plans, milestones, and communication strategies for strategic initiatives.
  • Facilitate regular updates with stakeholders, executives, and cross functional partners.
  • Coordinate with vendors, consultants, and technology partners when external expertise is required

Lead technology change in Data Science, Analytics and AI
  • Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value.
  • Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform.
  • Drive experimentation and prototyping to accelerate innovation and reduce time to value.

Qualifications
Qualifications:
  • Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field.
  • PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field.
  • 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required.
  • Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow).
  • Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP.
  • Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases.
  • Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance.
  • Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes.
  • Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed.
  • Advanced skill in statistical modeling, SQL, and database concepts required.
  • Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction.
  • Familiarity with Logistics industry is preferred.
  • Regular, predictable, full attendance is an essential function of the job
  • Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required.

Physical Requirements:
-The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
-The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines.
-While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg.
-Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus.
Penske is an Equal Opportunity Employer.
About Us
About Penske Truck Leasing/Transportation Solutions
Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more.

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