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

Palmer Holland

AI Engineer

Westlake, OH · On-site

$106K - $127K/yr

Applied AI and Machine Learning • Build and support predictive models and AI-assisted workflows using governed data from the lakehouse. • Develop feature engineering approaches for use cases such ...

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 ...

Lubrizol Corporation

Client Engineer

Wickliffe, OH · On-site

Client Engineer Location: Wickliffe, OH Job Type: Full-time, Hybrid- Collaborate in office 4 days ... Experience with machine learning and artificial intelligence technologies. * Understanding of NIST ...

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Showing results 41-60

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

Machine Learning Engineer information

See Cleveland, OH salary details

$30.5K

$124.7K

$187.4K

How much do machine learning engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for machine learning engineer in Cleveland, OH is $124,694.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $150,100.00 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 are the most commonly searched types of Machine Learning Engineer jobs in Cleveland, OH? The most popular types of Machine Learning Engineer jobs in Cleveland, OH are:
What are popular job titles related to Machine Learning Engineer jobs in Cleveland, OH? For Machine Learning Engineer jobs in Cleveland, OH, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Cleveland, OH look for? The top searched job categories for Machine Learning Engineer jobs in Cleveland, OH are:
What cities near Cleveland, OH are hiring for Machine Learning Engineer jobs? Cities near Cleveland, OH with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Cleveland, OH as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $124,694 per year, or $59.9 per hour.
Process Modeling Engineer

Process Modeling Engineer

Lubrizol Corporation

Wickliffe, OH

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Lubrizol rating

8.7

Company rating: 8.7 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

16th of 100 rated chemical manufacturers

Job description

Shape the Future with Us. At Lubrizol, we're transforming the specialty chemicals market through science, sustainability, and a culture of inclusion. As part of our global team, you'll be empowered to make a real impact-on your career, your community, and the world around you.

Job Type: Full-time / On-site

Shift + Hours: 1st Shift

Location: Wickliffe, Ohio or Deer Park, Texas

Travel: 20% or less


 

How You'll Make an Impact

As an Process Modeling Engineer you'll be at the forefront of our innovation, driving specialty chemical solutions forward. You'll collaborate with a diverse group of passionate individuals to deliver sustainable solutions to advance mobility, improve wellbeing, and enhance modern life.

The Process Modeling Engineer plays a critical role in optimizing and transforming manufacturing performance through advanced process modeling, simulation, and data-driven analysis. This role develops and deploys both physics-based and data-based models to support process design, scale-up, troubleshooting, optimization, and long-term strategic planning. The engineer also leads the creation of modeling standards, training programs, and strategic frameworks that elevate modeling capabilities across the organization.

In this role, you will:

1. Modeling & Technical Execution
   Develop, validate, and maintain physics-based process models (e.g., heat/mass transfer, reaction kinetics, fluid dynamics, unit operations).
   Build and apply data-driven models using statistical, machine learning, or hybrid modeling approaches to identify trends, correlations, and optimization opportunities.
   Conduct steady-state and dynamic simulations for process design, capacity analysis, debottlenecking, and energy efficiency assessments.
   Support troubleshooting and root cause analysis by using modeling to reproduce plant behavior and test hypotheses.
   Collaborate with R&D, operations, and process engineering to translate lab/pilot data into full-scale manufacturing models.

2. Standards & Best Practices
   Develop and maintain modeling standards, documentation practices, and validation protocols to ensure consistency, quality, and sustainability of modeling assets.
   Establish templates, guidelines, and workflows for physics-based and data-driven modeling across the engineering organization.
   Lead governance activities to ensure models are used responsibly, accurately, and with defined lifecycle management.

3. Training & Capability Development
   Design and deliver training programs, workshops, and hands-on sessions for engineers, operators, and technical staff on modeling tools, methodologies, and best practices.
   Mentor engineering teams on model interpretation, limitations, and appropriate use in decision-making.
   Help cultivate a culture of data literacy, model-informed design, and digital fluency across the organization.

4. Strategy & Technology Leadership
   Develop and communicate a strategic roadmap for modeling capabilities, including tool selection, digital technologies, and long-term capability growth.
   Evaluate and integrate emerging modeling technologies-such as AI/ML, advanced simulation platforms, and digital twin solutions.
   Collaborate with global engineering and operations leaders to align modeling strategy with broader engineering, manufacturing, and corporate objectives.
   Provide thought leadership in the areas of advanced analytics, digital process design, and predictive manufacturing.

5. Cross-Functional Collaboration
   Work closely with manufacturing, quality, R&D, EHS, and supply chain teams to ensure models support operational excellence, process safety, and product quality.
   Support capital project teams with modeling contributions for feasibility studies, conceptual design, and detailed engineering.
   Present model results and recommendations to technical and non-technical audiences, including senior leadership.

Required Qualifications that Enable Your Success

  • Master's or PhD in Chemical Engineering, Process Modeling, Computational Methods, or related fields.
  • 3+ years of experience in process engineering, process modeling, or advanced analytics within chemical, materials, or related manufacturing industries.
  • Strong experience with process simulation tools (e.g., Aspen Plus, Aspen HYSYS, CHEMCAD, gPROMS)
  • Experience developing data-driven models using tools like Python, MATLAB, JMP, or machine learning platforms.
  • Strong foundation in transport phenomena, thermodynamics, kinetics, and unit operations.
  • Proficiency in data analysis, statistics, and visualization.
  • Experience with dynamic modeling, digital twins, or real-time optimization is a plus.
  • Ability to integrate lab, pilot, and plant data into robust model frameworks.
  • Strong communication skills with ability to explain complex modeling results clearly.
  • Demonstrated leadership in influencing without authority and driving standards or programs across teams.
  • Structured problem-solving, curiosity, and continuous improvement mindset.

 

 

Your Work Environment
At Lubrizol, we're committed to providing a safe, inclusive, and empowering environment where you can do your best work-whether in a lab, on the production floor, or in a hybrid office setting. Depending on your role, your work environment may include:

  • Standing, walking, or operating equipment for extended periods
  • Working in a lab or manufacturing setting with appropriate PPE provided
  • Use of computers and digital tools in an office or hybrid environment
  • Occasional lifting or movement of materials
  • Adherence to rigorous safety protocols and ergonomic standards

We continuously invest in our facilities and technologies to ensure they support your well-being, productivity, and growth. If you require reasonable accommodation, we are committed to working with you to ensure an inclusive and accessible experience.

Why This Role Matters
This role is an essential driver of manufacturing excellence-helping the organization improve productivity, reduce variability, enhance safety, and accelerate innovation. By advancing both physics- and data-based modeling capabilities, the Process Modeling Engineer plays a key part in the company's digital transformation and long-term competitivenes 

 

Benefits that Empower You

  • Competitive salary with performance-based bonus plans
  • 401(k) match + Age-Weighted Defined Contribution
  • Comprehensive medical, dental & vision coverage
  • Health Savings Account (HSA)
  • Paid holidays, vacation, and parental leave
  • Flexible work environment
  • Learning and development opportunities
  • Career and professional growth
  • Inclusive culture and vibrant community engagement
    Learn more at benefits.lubrizol.com!

Lubrizol: Imagined for Life. Enabled by Science. Delivered by You.

For nearly 100 years, The Lubrizol Corporation, a Berkshire Hathaway company, has been at the forefront of innovation to enhance everyday life, advance mobility, and make the modern world work better. Our specialty chemistry solutions-from engine oils, performance coatings, and skincare to medical devices and plumbing systems -are powered by the expertise, passion, and commitment of people like you.

We tackle the world's toughest challenges with science-based solutions, deeply understanding our customers to deliver innovative chemistry and differentiated value. Our inclusive culture, dedication to safety, and incredible global talent drive our success. Our solutions meet the evolving needs of the modern world-brought to life by science and, most importantly, delivered by you.

Whether you're in the lab, on the production floor, or in the office, you'll be part of a team around the world that empowers you to think boldly, drive results, and contribute to solutions that shape a better, more sustainable future. 

 

We win because of you. Let's build the future together.

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About Lubrizol

Sourced by ZipRecruiter

The Lubrizol Corporation, a Berkshire Hathaway company, is committed to enabling a sustainable future. Our unmatched science unlocks immense possibilities at the molecular level, driving sustainable and measurable results to help the world Move Cleaner, Create Smarter and Live Better. Our solutions are used by people every day, improving billions of lives around the world.

Industry

Chemical manufacturing

Company size

10,000+ Employees

Headquarters location

Wickliffe, OH, US

Year founded

1928

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