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

ABB

OEM Sales Director-Machinery

PA · On-site +1

Lead and manage application engineer team assigned to respective application of focus, and ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Holder Construction

Engineer

Shippingport, PA

We are looking for a Project Engineer to join our Operations team on our project in Shippingport, PA. This is a full-time, in-person position. Key Responsibilities * Initial responsibilities would ...

Holder Construction

MEP Engineer

Shippingport, PA

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-person position. Key Responsibilities * Initial ...

Scotiabank

Senior AI Engineer

Toronto, OH · On-site

$93K - $128K/yr

Scotiabank is a leading bank in the Americas, and they are seeking a Senior AI Engineer to design, build, and operationalize enterprise-grade AI solutions. This role involves providing technical ...

ConnectiveRx

Sr. AI Engineer

Pittsburgh, PA · On-site

$96K - $132K/yr

The Senior AI Software Engineer is an engineering role responsible for designing and implementing AI solutions within ConnectiveRx's technology group. This person will embed in agile teams at ...

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 ...

Eaton

Lead Power Distribution Design Engineer

PA · On-site

$97K - $143K/yr

Provide design engineering services instrumental to the completion of turnkey projects. * Provide engineering guidance to teams of designers/discipline specific engineers to create complete designs ...

New

Palnar

Data Engineer

Pittsburgh, PA · On-site

$108K - $130K/yr

• Current major goal of project is to move from OnPrem to cloud storage to SaaS • ThoughtSpot is a BI tool for the enterprise (internal users) • Team is made of data engineers and business ...

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Showing results 1-20

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 Jul 14, 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 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 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 July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $114,866 per year, or $55.2 per hour.
Lead Analytics Engineer (REMOTE)

Lead Analytics Engineer (REMOTE)

Dick's Sporting Goods

Coraopolis, PA • On-site, Remote

$97K - $128K/yr

Full-time

Re-posted 9 hours ago

Dick's Sporting Goods rating

6.5

Company rating: 6.5 out of 10

Based on 1,143 frontline employees who took The Breakroom Quiz

15th of 39 rated national retailers

Job description

At DICK'S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.
If you are ready to make a difference as part of the world's greatest sports team, apply to join our team today!
OVERVIEW:
Job Purpose:
As a Lead Analytics Engineer, you will act as a SME in Analytics Engineering, BI, and data domain to support enterprise business needs. Mentor and advise Analytics Engineering team members and lead design and development standards and practices for data modeling and BI dashboards, data visualizations, and applications and ensure adoption by the team.
Job Responsibilities:
Data Modeling and Visualization
  • Drive the design of highly complex data models and BI applications to enable easy consumption and analysis.
  • Select appropriate data and BI tools and technologies to implement solutions, implementing and documenting industry best practices to be used by the team.

Functional/Technical Requirements
  • Leverage advanced experience, knowledge, and skillset in Analytics Engineering and data domain to drive functional and technical requirements for Analytics Engineering as part of an Agile team with Product Managers, Analysts, Analytics Engineers, and Data Engineers.
  • Act as a SME for data and business needs within domain.

Program/Portfolio Management Support
  • Contribute to the management of a portfolio of programs while reporting to and in partnership with senior teammates.
  • Support production processes and advise team on troubleshooting and resolutions to reduce incidents.
  • Train engineering teammates in coding, data modeling, and BI development best practices and conduct code review ensuring repeatable and easy-to-maintain processes are implemented amongst the team.

Technical Developments Recommendation
  • Discuss and recommend advanced and innovative data and BI solutions to better meet business, performance, and/or quality needs.
  • Recognize opportunities for better process improvements and work with senior teammates to implement.

Ongoing Learning and Development
  • Explore and develop detailed understanding of external developments or emerging issues and evaluate impact to the organization and team. Identify gaps in current solutions and BI tools and technologies.
  • Recommend new technologies needed to accelerate the business.
  • Develop cost/benefit analysis and assist in implementation of new tools and platforms.

Technology Experience
  • Expert-level experience with: Business Intelligence (BI) tools (e.g. Microsoft Power BI, Qlik Sense, Looker, Tableau); Cloud platforms (e.g. Microsoft Azure, Google Cloud Platform (GCP); Cloud data warehouses (e.g. Snowflake, Google BigQuery); Databases (e.g. Oracle); Version control systems and CI/CD (e.g. GitHub, GitHub Actions)
  • Expert development experience in SQL required.
  • Fully competent-level of Python development and data architecture experience preferred.

QUALIFICATIONS:
  • Bachelor's Degree or Equivalent Level Preferred
  • 6-10 years of experience

#LI-FD1
VIRTUAL REQUIREMENTS:
At DICK'S, we thrive on innovation and authenticity. That said, to protect the integrity and security of our hiring process, we ask that candidates do not use AI tools (like ChatGPT or others) during interviews or assessments.
To ensure a smooth and secure experience, please note the following:
  • Cameras must be on during all virtual interviews.
  • AI tools are not permitted to be used by the candidateduring any part of the interview process.
  • Offers are contingent upon a satisfactory background check which may include ID verification.

If you have any questions or need accommodations, we're here to help. Thanks for helping us keep the process fair and secure for everyone!

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