ZipRecruiter

Log In

1

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

Bridgeway

Data Engineer

Coraopolis, PA · On-site

$109K - $131K/yr

... machine learning and AI initiatives Qualifications : Required : • 5+ years of data engineering experience • Strong SQL and Python skills • Experience with cloud platforms (AWS, Azure, or GCP ...

Bridgeway

Data Engineer

Coraopolis, PA · On-site

$109K - $131K/yr

... machine learning and AI initiatives What We're Looking For: • 5+ years of data engineering experience • Strong SQL and Python skills • Experience with cloud platforms (AWS, Azure, or GCP) • ...

ABB

Lead Sales Engineer

PA

$91K - $120K/yr

... learning. Everyone brings something unique, and together we push ideas forward to solve real ... Experience with Machine and Motion Controldesirable * Ability to understand and explain complex ...

ABB

Lead Sales Engineer

PA

$91K - $120K/yr

... learning. Everyone brings something unique, and together we push ideas forward to solve real ... Experience with Machine and Motion Controldesirable * Ability to understand and explain complex ...

Form Energy

Senior Vision Engineer

Weirton, WV · On-site

$102K - $140K/yr

... Vision Engineer on our Operations Sustaining Team, you will play a crucial role in designing ... machine vision solutions to ensure part specifications are met while meeting line speed ...

IQ Machines

Be Seen First

Technical Support Specialist

Sewickley, PA · On-site

$50K - $65K/yr

At IQ Machines, we operate by a simple philosophy: when our customer has a problem, that problem ... Participate in onsite technician visits when authorized, supporting learning and readiness ...

New

Eaton

Lead Design Engineer

PA · On-site

$97K - $143K/yr

Demonstrated adaptability, curiosity, and initiative in a continuous improvement and learning-focused engineering environment * Bilingual English/Spanish a plus; willingness to travel approximately ...

Verdantas

Staff Civil Engineer I

Saint Clairsville, OH · On-site

This opportunity is ideal for recent graduates or emerging professionals ready to transition from academic learning to impactful, real-world engineering. As a Staff I Engineer, you'll be part of a ...

Verdantas

Staff Civil Engineer I

Saint Clairsville, OH · On-site

This opportunity is ideal for recent graduates or emerging professionals ready to transition from academic learning to impactful, real-world engineering. As a Staff I Engineer, you'll be part of a ...

Holder Construction

MEP Engineer

Shippingport, PA · On-site

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 ...

next page

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 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.
Engineering Manager, Machine Learning

Engineering Manager, Machine Learning

Dick's Sporting Goods

Coraopolis, PA • On-site, Remote

Full-time

Posted 8 days ago

Dick's Sporting Goods rating

6.5

Company rating: 6.5 out of 10

Based on 1,131 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:
Join us as we transform technology, data, and analytics to build next-generation tools and platforms for athletes and teammates. As the Machine Learning Engineering Manager - Teamate, you will lead a highly skilled team, driving enterprise impact and shaping the future of a leading sports retailer. You will be at the forefront of merchandising improvement-delivering advanced machine learning and agentic solutions that optimize inventory, maximize assortment plans, and ensure the right products are available at the right time and place. You will collaborate closely with Product Management, Design and Architecture to ensure cross-functional alignment and deliver innovative software, while overseeing team development, talent management, and best practices to drive impactful results.
Key Responsibilities
  • Lead the development, deployment, and maintenance of scalable, reliable machine learning solutions for merchandising and inventory optimization.
  • Define and guide technical strategy and architecture for enterprise-grade ML, and AI capabilities.
  • Manage, mentor, and develop a high-performing team of machine learning engineers.
  • Partner with product, business, and engineering leaders to translate goals into ML-driven solutions.
  • Drive end-to-end delivery of ML solutions from discovery through production support.
  • Lead transformation initiatives delivering ML and agentic solutions that improve inventory and assortment effectiveness.
  • Champion agile methodologies and engineering best practices.
  • Ensure high standards for quality, scalability, reliability, performance, and security.
  • Design cloud-based ML deployment patterns including APIs, monitoring, and model lifecycle management.
  • Align technical execution with business priorities and KPIs.
  • Stay current with emerging technologies and recommend strategic improvements.
  • Support portfolio management, budgeting, performance management, and information security.
  • Foster a diverse, inclusive, and collaborative team environment.
  • Lead systems-level design and integration, including APIs, event streams, and vendor-managed integrations.
  • Plan and manage resources and lead onshore/offshore contractors.

QUALIFICATIONS:
  • Bachelor's (Master's preferred) degree or equivalent experience in a quantitative field.
  • 6+ years of experience in machine learning or related engineering fields.
  • 2-3 years of experience in a technical leadership role.
  • 1-3 years of people management experience.
  • Experience with ML frameworks.
  • Strong Python skills and experience with distributed data technologies such as Spark and Kafka.
  • Experience designing and operating ML-powered APIs and production systems.
  • Experience working in an Agile environment.
  • Ability to influence senior and executive stakeholders.
  • Retail technology experience required; merchandising or inventory planning experience is a plus.

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!

What Dick's Sporting Goods employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply