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

Computer Vision Engineer As a Computer Vision Engineer, you will be part of our AI Team working on ... Hands-on experience applying machine learning and deep learning to vision data, preferably direct ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Machine Learning Engineer

Niles, IL · On-site

$53 - $72.75/hr

Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...

Machine Learning Engineer

Niles, IL · On-site

$53 - $72.75/hr

Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...

Senior Machine Learning Engineer

Chicago, IL

$107K - $147K/yr

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...

Hardware Machine Learning Engineer

Chicago, IL · On-site

$127K - $168K/yr

They are seeking a Hardware Machine Learning Engineer to architect solutions that deploy machine learning directly onto custom hardware, influencing research direction and driving real impact in ...

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

The client seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that client guests, members, customers and internal users leverage to transform the guest ...

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$150K - $185K/yr

POSITION SUMMARY The Senior Machine Learning Engineer is responsible for designing, building, and deploying scalable machine learning systems that drive business impact. This role will partner ...

Role description AWS Machine Learning Engineer ML Engineer I Who We Are: Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding ...

Hardware Machine Learning Engineer Chicago, United States; New York, United States We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground ...

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our platform - influencing architecture, driving best practices, and solving high-leverage problems. You'll ...

Machine Learning Engineer II

Chicago, IL · On-site

$100K - $137K/yr

The Machine Learning Engineer II role is part of the Technology Team, which is responsible for providing industry-leading machine learning-based tools or processes to the Company, which provide a ...

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Machine Learning Engineer information

See Wheeling, IL salary details

$32.6K

$133.3K

$200.3K

How much do machine learning engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning engineer in Wheeling, IL is $133,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $160,500.00 per year, depending on experience, location, and employer.

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.

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 jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
What are the most commonly searched types of Machine Learning Engineer jobs in Wheeling, IL? The most popular types of Machine Learning Engineer jobs in Wheeling, IL are:
What are popular job titles related to Machine Learning Engineer jobs in Wheeling, IL? For Machine Learning Engineer jobs in Wheeling, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Wheeling, IL look for? The top searched job categories for Machine Learning Engineer jobs in Wheeling, IL are:
What cities near Wheeling, IL are hiring for Machine Learning Engineer jobs? Cities near Wheeling, IL with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Wheeling, IL as of May 2026, with employment types broken down into 1% Internship, 54% Full Time, 43% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $133,324 per year, or $64.1 per hour.
Machine Learning Engineer

Other

Posted 26 days ago


Job description

Computer Vision Engineer

As a Computer Vision Engineer, you will be part of our AI Team working on revolutionizing the world of sport using our new Computer Vision innovations.

What You'll Do:
  • Develop and implement the most innovative computer vision solutions on sports video data, which include body-pose estimation
  • Deploy computer vision systems in the field by writing production code
  • Work with back-end and front-end developers as well as the product team
  • Keep current with latest trends and technologies, to continually improve computer vision systems
What You'll Need:
  • Bachelors, Masters or PhD in Computer Science or related quantitative field
  • Strong software, hardware, and systems development understanding
  • Programming fluency in C/C++ and Python, with knowledge of OpenCV and programming on GPU using OpenGL or CUDA/CuDNN or TensorRT
  • General understanding of computer vision concepts (multiview geometry, bundle adjustment, SLAM etc)
  • Hands-on experience applying machine learning and deep learning to vision data, preferably direct experience with TensorFlow (preferred), Caffe, Keras, Theano or Torch
  • Excellent verbal and written communication skills to effectively collaborate in a team environment, present and explain technical information, and provide advice to management
  • Knowledge of H264 & MPEG4 video standards, and experience with hardware compression engines

1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014