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

Holder Construction

MEP Senior Engineer

Shippingport, PA

$102K - $140K/yr

About the Role We are looking for a Senior Engineer to join our MEP team on our project in Shippingport, PA. This is a full-time, in-person position. Key Responsibilities * Communicate with ...

Holder Construction

MEP Engineer

Shippingport, PA · On-site

Night and swing shift differential pay for select roles We are looking for a Project Engineer to join our MEP Building Technology team on our project in Shippingport, PA. This is a full-time, in ...

Holder Construction

MEP Senior Engineer

Shippingport, PA · On-site

$102K - $140K/yr

Night and swing shift differential pay for select roles About the Role We are looking for a Senior Engineer to join our MEP team on our project in Shippingport, PA. This is a full-time, in-person ...

Form Energy

Staff NPI Project Engineer

Weirton, WV · On-site

This role sits within Operations Engineering and works in close partnership with our Technical Program Manager to ensure that every change - from next-generation pack-level design updates to ...

Form Energy

Senior Equipment Engineer, Operations

Weirton, WV · On-site

$102K - $140K/yr

Role Description We're looking for a Senior Equipment Engineer to join our Operations Engineering team. In this role, you will use your deep familiarity with a variety of manufacturing equipment to ...

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

Machine Learning Engineer information

See Toronto, OH salary details

$28.1K

$114.9K

$172.6K

How much do machine learning engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning engineer in Toronto, OH is $114,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $138,300.00 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.
More about Machine Learning Engineer jobs
What job categories do people searching Machine Learning Engineer jobs in Toronto, OH look for? The top searched job categories for Machine Learning Engineer jobs in Toronto, OH are:
What cities near Toronto, OH are hiring for Machine Learning Engineer jobs? Cities near Toronto, OH with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Toronto, 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 $114,866 per year, or $55.2 per hour.
MEP Senior Engineer

MEP Senior Engineer

Holder Construction

Shippingport, PA

$102K - $140K/yr

Other

Posted 13 days ago

Holder Construction rating

9.1

Company rating: 9.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

Job description

About the Role

We are looking for a Senior Engineer to join our MEP team on our project in Shippingport, PA. This is a full-time, in-person position.

Key Responsibilities

  • Communicate with electrical and mechanical equipment vendors, design engineers, clients, and subcontractors.
  • Procure electrical and mechanical subcontracts and equipment, managing contracts and deliverables from bid solicitation through contract award.
  • Coordinate equipment submittals and assist with electrical, mechanical, and overall construction cost estimates.
  • Support commercial projects within core markets, ensuring effective coordination and execution.

Qualifications

Required:

  • Bachelor's degree in mechanical engineering, electrical engineering, construction management, relevant field, or relevant experience.
  • 5+ years of mechanical, electrical, and plumbing preconstruction experience.
  • Ability to read and understand electrical, HVAC, plumbing, architectural, and civil plans and specifications.
  • Familiarity with standard concepts, practices, and procedures of MEP systems and equipment.
  • Good communication skills.
  • Ability to identify and resolve issues.
  • Effective participation in a team environment.
  • Detail-oriented with the ability to manage multiple projects and tasks.

What Holder Construction employees say

Pay

Benefits

Hours and flexibility

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