1

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

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Engineer

Cleveland, OH · On-site

$100K - $120K/yr

Strong programming background in Python, deep understanding of machine learning algorithm. * Evaluate and select appropriate AI frameworks, tools and cloud services. * Lead the architecture, design ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

... machine learning operations, continuous integration/continuous delivery pipelines, and DevOps practices Experience applying AI solutions in finance, healthcare, or supply chain environments ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Data Engineer

Cleveland, OH · On-site +1

$70K - $100K/yr

Data Engineer The Data Engineer will play a critical role in developing the data infrastructure ... Build and optimize data architectures supporting analytics, visualization, and AI/machine learning ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

Data Engineer

Cleveland, OH · On-site +1

$75K - $145K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Build and optimize data architectures supporting analytics, visualization, and AI/machine learning ...

... or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ...

Experience with machine learning operations, AgentOps, DevSecOps, site reliability engineering, Azure DevOps, GitHub, and SonarQube * Experience with continuous integration/continuous deployment and ...

DevOps Engineer

Akron, OH · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, 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 ...

DevOps Engineer

Cleveland, OH · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, 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 ...

Software Engineer

Akron, OH · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, 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 ...

Software Engineer

Cleveland, OH · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, 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 ...

next page

Showing results 1-20

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 Jun 9, 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 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.

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 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.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
What cities near Kent, OH are hiring for Machine Learning Engineer jobs? Cities near Kent, OH with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Kent, OH as of May 2026, with employment types broken down into 1% Internship, 53% Full Time, 44% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $117,412 per year, or $56.4 per hour.
NGA AI Engineer Senior Manager

NGA AI Engineer Senior Manager

Pwc

Cleveland, OH

$91K - $321K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Craft and convey clear, impactful and engaging messages that tell a holistic story.
Apply systems thinking to identify underlying problems and/or opportunities.
Validate outcomes with clients, share alternative perspectives, and act on client feedback.
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
Deepen and evolve your expertise with a focus on staying relevant.
Initiate open and honest coaching conversations at all levels.
Make difficult decisions and take action to resolve issues hindering team effectiveness.
Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team you will lead the development of innovative
AI solutions that drive operational excellence. As a Senior Manager you will serve as a strategic
advisor, leveraging your knowledge to guide large projects and motivate top-performing teams to
navigate complex challenges. This role offers the chance to work with advanced technologies
and collaborate with diverse stakeholders, securing impactful results that align with industry
-
leading standards.
Responsibilities
- Lead the creation of innovative AI solutions to enhance operational effectiveness
- Serve as a strategic advisor on large-scale projects, guiding teams through challenges
- Motivate and develop top-performing teams to achieve project objectives
- Work with diverse stakeholders to secure alignment with industry standards
- Utilize advanced technologies to drive impactful results
- Foster a culture of continuous improvement and operational excellence
- Analyze complex data to identify opportunities for innovation
- Communicate effectively to convey project goals and progress
What You Must Have
- High School Diploma
- At least 6 years of experience
What Sets You Apart
- Master's Degree in Computer Engineering, Computer Science, Data Processing/Analytics/
Science, Software Engineering, Artificial Intelligence and Robotics preferred
- Crafting and conveying clear, impactful messages
- Applying systems thinking to identify underlying problems
- Validating outcomes with clients and sharing perspectives
- Directing teams through complex and ambiguous situations
- Evolving your technical and industry knowledge
- Initiating open coaching conversations at various levels
- Adhering to production-grade quality standards
- Experience creating context aware GenAI Chat experience using SSE, JSON-RPC and WebSocket

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $91,000 - $321,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom