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Senior Machine Learning Engineer Jobs in Springfield, IL

StandardAero

Sheetmetal Worker

Springfield, IL

$20K/mo

Research and develop repair schemes using blueprints, engineering orders, service bulletins, and ... Prior experience operating sheet metal machinery to fabricate units with complex contours and ...

StandardAero

Sheetmetal Worker

Springfield, IL · On-site

$20K/mo

Research and develop repair schemes using blueprints, engineering orders, service bulletins, and ... Prior experience operating sheet metal machinery to fabricate units with complex contours and ...

StandardAero

Sheetmetal Worker

Springfield, IL · On-site

$20K/mo

Research and develop repair schemes using blueprints, engineering orders, service bulletins, and ... Prior experience operating sheet metal machinery to fabricate units with complex contours and ...

StandardAero

Sheetmetal Lead

Springfield, IL · On-site

$32.81 - $41.01/hr

Research and develop repair schemes using blueprints, engineering orders, service bulletins, and ... Prior experience operating sheet metal machinery to fabricate units with complex contours and ...

NTT DATA Services

Legacy Migration Analyst

Springfield, IL · Remote

$101K - $169K/yr

This senior-level position requires a deep understanding of mainframe legacy systems, particularly ... Coordinate with cross-functional project teams, including data analysts, developers, and business ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Springfield, IL

Senior Machine Learning Engineer information

See Springfield, IL salary details

$59K

$125.4K

$181.9K

How much do senior machine learning engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for senior machine learning engineer in Springfield, IL is $125,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $142,200.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for 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 Springfield, IL? The most popular types of Machine Learning Engineer jobs in Springfield, IL are:
What job categories do people searching Senior Machine Learning Engineer jobs in Springfield, IL look for? The top searched job categories for Senior Machine Learning Engineer jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Senior Machine Learning Engineer jobs? Cities near Springfield, IL with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Springfield, IL as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $125,431 per year, or $60.3 per hour.
HVAC Service Tech 3 - Refrigeration

HVAC Service Tech 3 - Refrigeration

CoolSys

Springfield, IL • On-site

$25 - $50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

CoolSys rating

8.2

Company rating: 8.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

50th of 241 rated repair and maintenance companies

Job description

Overview
WHY COOLSYS?
At CoolSys, we offer more than just a job-we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America's Greatest Workplaces! As a large company serving diverse customers, we invest in our team with:
  • Competitive Compensation: $25-$50/HR. Up to $5,000 Sign On Bonus!
  • Ongoing Education & Training: Access to state-of-the-art facilities and paid online training.
  • Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K) match.
  • Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing.
  • Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more.

Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry!
Responsibilities
The HVAC/R Technician role is primarily responsible for performing repairs and maintenance to a variety of HVAC and Refrigeration equipment including air conditioning, electric motors, heating units, heat pumps, hermetic compressors, commercial furnaces, boilers, burners, intake and exhaust fans, economizers and humidifiers, RTUs, remote condensing units, ice machines, walk-in coolers & freezers, and upright refrigerators & freezers.
Qualifications
  • 3+ years of commercial experience as an HVAC and Refrigeration Technician
  • Active EPA Certification
  • Valid driver's license
  • Excellent customer relations and interpersonal skills
  • Mechanical aptitude and troubleshooting skills
  • Ability to safely lift to 50 lbs., climb and balance on a ladder, and work in elevated/high locations.

Join Us
Today, there are 26 different companies that make up the CoolSys family of brandsOur valued employees are at the heart of our continued growth and success. We invite you to be part of that growth!
Connect with us on Facebook and Twitter
Coolsys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply.
Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. Coolsys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance.
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