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Machine Learning Engineer Jobs in Normal, IL (NOW HIRING)

Advance Trading, Inc

Senior Software Engineer

Bloomington, IL · On-site

$116K - $153K/yr

As a Senior Software Engineer, you will work with a small self-directed team focused on building full-stack software solutions to meet corporate and client needs. You will identify, implement ...

State Farm

Data Engineer

Bloomington, IL · Hybrid

$109K - $130K/yr

Working closely with software engineers, recovery coordinators, and business partners, the ideal candidate will design and deliver scalable data pipelines, integrations, and reusable data products ...

Nestle

Maintenance Supervisor

Morton, IL

POSITION SUMMARY: * Lead Maintenance Team driving excellence in Safety, Machine/Equipment ... Collaborate with corporate engineers, suppliers, contractors, and plant partners to ensure customer ...

Morton Industries

Bring the Heat

Morton, IL · On-site

$23 - $33/hr

Lay out reference lines and machining locations from engineering prints. * Use hand tools, power ... If you have a strong work ethic, enjoy learning, and take pride in doing quality work, we want to ...

New

MORTON INDUSTRIES

Bring the Heat

Morton, IL

$23 - $33/hr

Lay out reference lines and machining locations from engineering prints. * Use hand tools, power ... If you have a strong work ethic, enjoy learning, and take pride in doing quality work, we want to ...

New

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Normal, IL

Machine Learning Engineer information

See Normal, IL salary details

$30.8K

$125.9K

$189.2K

How much do machine learning engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for machine learning engineer in Normal, IL is $125,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $151,500.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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.

More about Machine Learning Engineer jobs
What cities near Normal, IL are hiring for Machine Learning Engineer jobs? Cities near Normal, IL with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Normal, IL as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $125,893 per year, or $60.5 per hour.
Senior Software Engineer

Senior Software Engineer

Advance Trading, Inc

Bloomington, IL • On-site

$116K - $153K/yr

Full-time

Re-posted 15 days ago

Job description

Company Description
Advance Trading, Inc. (ATI) is a forward thinking, non-proprietary commodity brokerage firm providing risk management and market guidance to grain producers, commercial elevators, and end users including energy producers and livestock feeders. ATI's client base spans the entire globe, with businesses throughout North America, South America, Europe, Africa, Asia, and the Middle East. Our highly skilled team delivers individualized strategies, sound advice, and solid recommendations based on extensive research and market analysis, giving our clients a competitive edge in today's complete marketplace.
Job Description
As a Senior Software Engineer, you will work with a small self-directed team focused on building full-stack software solutions to meet corporate and client needs. You will identify, implement, maintain, and support software solutions for all end users. The position will be based at our Corporate office located in Bloomington, IL.
Essential Duties and Responsibilities
  • Create, maintain, and enhance well designed, complex applications that are fast-loading, easy to navigate, mobile friendly, accessible, simple, and intuitive
  • Work cooperatively with a variety of groups including IT team members, company personnel, and clients
  • Plan, coordinate, and track your work in tandem with team members to meet project goals
  • Integrate collaborative coding practices daily while utilizing version control and issue tracking solutions
  • Communicate with clients and team members on a regular basis
  • Proactively forecast upcoming needs, track, and apply needed changes across all client solutions
  • Meet all product and support goals within designated project deadlines
  • Identify, analyze, and resolve issues with company and client applications; communicate resolution to affected individuals
  • Provide excellent customer service by responding to client requests and complaints in a friendly, helpful, and knowledgeable manner
  • Seek out and take advantage of the latest technology solutions to strengthen performance
  • Other duties as assigned

Knowledge Skills and Abilities
  • Front End / User Interface Development Experience (i.e. JavaScript, Web Service Integration, Single Page Architecture Frameworks, Responsive UI Design)
  • Backend / API Development Experience (i.e. API Platforms, Database Systems, Event Driven Systems)
  • Developer Workflow and Methodologies Experience (i.e. Git/GitLab/GitHub, Product Management, Continuous Integration/Continuous Delivery)
  • Excellent written and verbal communication skills
  • Ability to work on a team
  • Ability to receive and provide critique respectfully
  • Time management skills, specifically the ability to handle multiple tasks and prioritize work
  • General business insight, empathy, and the ability to understand business challenges to relate to clients
  • Ability to clearly explain technical information to non-technical individuals

Qualifications
Minimum Required Qualifications
• Bachelor's Degree in Computer Science or related field
• 5 years of professional programming experience
• Legally authorized to work in the United States without visa sponsorship
Preferred Qualifications
• 7+ years of professional programming experience
Additional Information
All your information will be kept confidential according to EEO guidelines.

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