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Machine Learning Engineer Hybrid Jobs in Springfield, IL

Physician Liaison

Springfield, IL · Hybrid

$32.58 - $48.87/hr

Corporate Services oSchedule: Full Time, Hybrid-3-4 days/wk in territory, 1-2 days/wk at home ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

Information Security Architect

Springfield, IL · On-site +1

$61.43 - $92.15/hr

Collaborating with IT, clinical engineering, compliance, privacy, and business teams, the role ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ... your learning experience through additional internship seasons Why Join Workiva Workiva is the ...

New

September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ... your learning experience through additional internship seasons Why Join Workiva Workiva is the ...

New

Coordinate new suppliers / parts and engineering changes with Materials, Engineering, Quality ... This role works a hybrid schedule in Springfield, TN. Benefits highlights: * Discounts on our award ...

Showing results 41-60

Machine Learning Engineer Hybrid information

See Springfield, IL salary details

$31.2K

$127.6K

$191.8K

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

As of Sep 2, 2026, the average yearly pay for machine learning engineer hybrid in Springfield, IL is $127,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,600.00 per year, depending on experience, location, and employer.

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

AspectMachine Learning Engineer HybridData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops, tests, deploys ML models; collaborates with engineering teamsAnalyzes data, builds models, interprets results; works across departments
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Machine Learning Engineer Hybrid focuses on developing and deploying ML models within engineering environments, often requiring coding and deployment skills. Data Scientists analyze data, build models, and interpret results, often in research or strategic roles. While both roles require strong analytical skills and knowledge of ML, the Engineer Hybrid emphasizes deployment and integration, whereas Data Scientists focus on data analysis and insights.

What are popular job titles related to Machine Learning Engineer Hybrid jobs in Springfield, IL?

For Machine Learning Engineer Hybrid jobs in Springfield, IL, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Hybrid jobs in Springfield, IL look for?

The top searched job categories for Machine Learning Engineer Hybrid jobs in Springfield, IL are:

Infographic showing various Machine Learning Engineer Hybrid job openings in Springfield, IL as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $127,624 per year, or $61.4 per hour.

Senior Manufacturing Engineer-Lincoln, Illinois

Eaton Aerospace

Greenview, IL

$86K - $126K/yr

Full-time

Medical, Retirement

Posted 11 days ago


Job description

Eaton's Electrical Sector - ARS division is currently seeking a Senior Manufacturing Engineer. This is an onsite role based at our Lincoln, IL manufacturing facility supporting our Residential & Wiring Devices products. Relocation assistance is available to candidates currently residing in the US.
This role is responsible for coordinating and implementing, through manufacturing engineering and product/process development, changes to new and existing products, with the specific goal of improving manufacturability, work flow, methods, training and learning curve simplification, using material handling, manufacturing and industrial engineering techniques.
The expected annual salary range for this role is $86000 - $126000 a year. This position is also eligible for a variable incentive program. Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.
What you'll do:
  • Recommends product design changes for improving product performance, manufacturability and work flow; includes design for manufacturing/automation.
  • Assists product development staff with new product concepts to insure ability to manufacture new designs.
  • Leads manufacturing portion of product development.
  • Manages capital projects/oversees installation of equipment and machinery.
  • Assists employee teams in exploration of cost reduction projects.
  • Implements and directs engineering changes into production, instructing and training personnel.
  • Assures that reviews to ensure employee safety are completed during process and that a review for safety takes place with any process and/or equipment change.
  • Designs, develops and establishes training aids/programs and procedures on manufacturing processes.=
  • Analyzes discrepant parts and directs actions to prevent their reoccurrence through the use of 8D, PFMEA and other root cause analysis tools.
  • Establishes specific methods for production, including standard work, cycle time, takt time, and ergonomics.
  • Performs special projects and investigations at directions of immediate supervisor.
  • Participates in departmental layouts to improve use of floor space, work flow and material handling.
  • Participates in cost reduction program, computes economic data and implements projects; includes recommendation and implementation of new or replacement capital equipment to improve manufacturing capabilities.
  • Fills in for supervisor for vacations, meetings & overtime.
  • Supports the Value Stream Teams, recommending and leading actions to achieve the business case.

Qualifications:
Basic (required) Qualifications:
  • Bachelor's degree in engineering from an accredited institution.
  • One (1) year of engineering experience working in a manufacturing environment.
  • Eaton will not consider applicants for employment immigration sponsorship or support for this position. This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap registration, O-1, E-3, TN status, I-485 job portability, etc.

Preferred Qualifications:
  • Three (3) or more years of manufacturing engineering experience supporting complex manufacturing processes and capital projects greater than $500K.
  • Knowledge or experience with fabrication and/or assembly processes.
  • Lean Six sigma certifications and/or experience implementing lean processes in a manufacturing environment.

All positions may require participation in video and in-person interviews as part of the hiring process. All candidates will be evaluated based on job-related competencies, and all candidates' privacy rights and data security will be protected in accordance with applicable laws.
We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.
Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws.
You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.
To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number.
We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.