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

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

CNC Machinist

Perrysburg, OH

$19.25 - $26.50/hr

... machine integrity, and manufacturing excellence. Interested in learning more? Keep reading. ProMach ... Operating & Programming CNC mill and lathe machines safely and productively * Ability to do your ...

CNC Machinist

Perrysburg, OH · On-site

$19.25 - $26.50/hr

... machine integrity, and manufacturing excellence. Interested in learning more? Keep reading. ProMach ... Operating & Programming CNC mill and lathe machines safely and productively * Ability to do your ...

Engineers provide 24-hour response to machinery and system issues and oversee the operation, maintenance, and troubleshooting of all vessel equipment, including pumps, motors, engines, electrical and ...

We encourage curiosity, make learning part of everyday life, and give you real opportunities to ... Machine control programming knowledge. Pay range : Minimum $85k - $95k Within this range ...

New

Electrician - 1st Shift

Britton, MI · On-site

$24.50 - $33.50/hr

... installed machines and equipment such as robots, conveyors, and programmable controllers. • ... Learning and Development: We empower all our Associates - from entry-level to senior-level - with ...

The data center engineering team thinks from chip to chiller (or electrical substation ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Electrician - 1st Shift

Britton, MI · On-site

$23.50 - $32.25/hr

... programmable controllers. · Connect power supply wires to machines and equipment and connect ... Learning and Development: We empower all our Associates - from entry-level to senior-level - with ...

Mentor and guide the lead data engineer. * Own the Data Strategy & Lifecycle Management, treating EDW domains as data products with SLAs, ownership, and lifecycle * Contribute to AI, Machine Learning ...

Showing results 41-60

Machine Learning Engineer information

See Toledo, OH salary details

$31K

$126.7K

$190.4K

How much do machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning engineer in Toledo, OH is $126,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $152,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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 are the most commonly searched types of Machine Learning Engineer jobs in Toledo, OH? The most popular types of Machine Learning Engineer jobs in Toledo, OH are:
What are popular job titles related to Machine Learning Engineer jobs in Toledo, OH? For Machine Learning Engineer jobs in Toledo, OH, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Toledo, OH look for? The top searched job categories for Machine Learning Engineer jobs in Toledo, OH are:
What cities near Toledo, OH are hiring for Machine Learning Engineer jobs? Cities near Toledo, OH with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Toledo, OH as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $126,697 per year, or $60.9 per hour.

Senior Aerospace Estimation Engineer

Wauseon Machine & Manufacturing

Wauseon, OH • On-site

$98K - $134K/yr

Full-time

Posted 23 days ago


Job description

THE ROLE

We're looking for a Senior Estimation Engineer who can turn a customer print into an accurate, defensible, and competitive quote, fast. You will own the cost model behind every RFQ that comes through Steelcrest, from raw material and cycle time to tooling, setup, and outside processing. This role sits at the intersection of engineering, operations, and sales, and directly shapes which jobs we win and whether we make money on them. You will report to operations and commercial leadership, with regular visibility to the CEO on pricing strategy and win/loss trends.

WHAT YOU'LL OWN

RFQ Cost Modeling: build detailed cost estimates from customer prints and specs, covering material, cycle time, tooling, setup, inspection, and outside processing.

Process and Cycle Time Analysis: apply process knowledge across milling, turning, and multi-axis machining to estimate realistic cycle times, not best-case guesses.

Should-Cost Modeling: build should-cost models for existing competitor parts, and use them to negotiate margin, defend pricing, and identify cost-reduction opportunities.

Quote Turnaround: work directly with sales and program management to turn around competitive quotes on tight customer timelines without sacrificing accuracy.

Estimate Accuracy and Feedback Loop: track quoted cost versus actual shop cost on won jobs, and feed that data back into the estimating model so it gets sharper over time.

Capacity and Make/Buy Input: factor current shop loading and equipment availability into lead time and pricing decisions on new quotes.

Design for Manufacturability Input: partner with engineering on manufacturability feedback during the quoting stage, catching cost drivers before they become production problems.

Estimating Systems and Standards: maintain and improve the rate tables, labor standards, and cost models used across the estimating function.