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Machine Learning Jobs in Toronto, OH (NOW HIRING)

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 ...

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) • ...

We help clients accelerate digital transformation by providing top-tier talent and strategic services in advanced analytics, machine learning, cloud, and AI-driven initiatives. Position Overview The ...

... Learning and Improvement: Opportunities for ongoing training and development to have a direct ... Basic Requirements: • Ability to machine and construct tooling to drawing specifications to meet ...

... Learning and Improvement: Opportunities for ongoing training and development to have a direct ... Basic Requirements: • Ability to machine and construct tooling to drawing specifications to meet ...

... Learning and Improvement: Opportunities for ongoing training and development to have a direct ... Basic Requirements: • Ability to machine and construct tooling to drawing specifications to meet ...

Be Seen First

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

Dishwasher

Steubenville, OH · On-site

$11.25 - $14.75/hr

If you want to work in a fun family atmosphere and are interested in learning business, leadership ... Washes pots, pans, and trays by hand and/or machine (15%*). * Completes all assigned prep work ...

If you want to work in a fun family atmosphere and are interested in learning business, leadership ... Washes pots, pans, and trays by hand and/or machine (15%*). * Completes all assigned prep work ...

Dishwasher

Steubenville, OH · On-site

$11.25 - $14.75/hr

If you want to work in a fun family atmosphere and are interested in learning business, leadership ... Washes pots, pans, and trays by hand and/or machine (15%*). * Completes all assigned prep work ...

Dishwasher

Steubenville, OH

$11.25 - $14.75/hr

If you want to work in a fun family atmosphere and are interested in learning business, leadership ... Washes pots, pans, and trays by hand and/or machine (15%*). * Completes all assigned prep work ...

Parts & Tractor Runner

Monaca, PA · On-site

$14.75 - $18/hr

Actively participate in learning initiatives such as training programs, workshops, and webinars ... Operate machinery and equipment such as tractors, gantry cranes, electric hoists, servicing and ...

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Machine Learning information

See Toronto, OH salary details

$22.7K

$38K

$78.5K

How much do machine learning jobs pay per year?

As of Jun 8, 2026, the average yearly pay for machine learning in Toronto, OH is $37,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,000.00 and $41,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are popular job titles related to Machine Learning jobs in Toronto, OH? For Machine Learning jobs in Toronto, OH, the most frequently searched job titles are:
What cities near Toronto, OH are hiring for Machine Learning jobs? Cities near Toronto, OH with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Toronto, OH as of May 2026, with employment types broken down into 75% Full Time, 24% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $37,986 per year, or $18.3 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!

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