1

Senior Machine Learning Engineer Jobs in Springfield, IL

Use advanced training tools and technologies to enhance learning experiences. Measure program and ... ROI and impact of enablement programming- Use KPIs and feedback loops to assess training ...

Senior Sales Trainer

Springfield, IL · On-site

$78K - $136K/yr

Use advanced training tools and technologies to enhance learning experiences. Measure program and ... ROI and impact of enablement programming- Use KPIs and feedback loops to assess training ...

Use advanced training tools and technologies to enhance learning experiences. Measure program and ... ROI and impact of enablement programming- Use KPIs and feedback loops to assess training ...

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 ...

next page

Showing results 1-20

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:
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.
Senior Sales Trainer

$78K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Wolters Kluwer rating

8.9

Company rating: 8.9 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

33rd of 215 rated software companies


Job description

About the Role:
As a Senior Sales Trainer, you'll drive impactful sales training initiatives designed to elevate the performance of our sales force. You will lead the creation and delivery of comprehensive training programs aiming to enhance selling techniques, product knowledge, and customer engagement. This includes leading skill development initiatives to drive performance and deliver exceptional client value, drive deal acceleration and overall revenue growth. This role will focus on designing, implementing, and optimizing enablement programs that enhance sales capabilities across all stages of the buyer journey. This role is ideal for experienced professionals who can significantly contribute to our sales training framework.
Responsibilities:
Lead the design and implementation of sophisticated sales training programs.
Conduct thorough analyses to identify and address training gaps.
Deliver advanced training sessions independently.
Collaborate with cross-functional teams to align training with business goals.
Develop innovative training materials and methods to engage trainees.
Evaluate and refine training programs based on feedback and performance data.
Mentor and coach junior trainers and sales representatives.
Maintain up-to-date knowledge of sales trends and best practices.
Use advanced training tools and technologies to enhance learning experiences.

Measure program and sales performance to demonstrate ROI and impact of enablement programming- Use KPIs and feedback loops to assess training effectiveness, identify skill gaps, and continuously improve enablement initiatives.

Develop/Update sales playbooks and certifications that support the sales process, ensuring they reflect any product, content or process changes

Create and maintain sales enablement materials, curriculum and collateral that supports the salesforce in revenue generating activities

Leverage enablement platforms (e.g., Gong, Outreach, Seismic, LMS systems) and CRM tools to deliver scalable learning experiences and track engagement and impact.

Assist in optimization of our tech stack, as needed


Skills:
Advanced Communication: Strong skills in conveying complex information clearly.
Complex Instructional Design: Proficiency in developing detailed training programs.
Data Analysis: Capability to analyze and interpret training-related data.
Sales Mastery: In-depth understanding of advanced sales techniques and processes.
Mentoring: Ability to mentor and support less experienced trainers.
Innovative Thinking: Creative skills in developing engaging training content.
Technical Proficiency: Advanced use of training tools and applications.
Strategic Alignment: Skills in ensuring training programs align with business objectives.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$78,400.00 - $136,950.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


What Wolters Kluwer employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom