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

Senior AI Engineer

Racine, WI · On-site

$98K - $134K/yr

This position blends applied machine learning, software engineering, cloud architecture, and end-to-end solution delivery. Success in this role requires a strong understanding that production AI ...

Mgr, Data Engineering

Lake Forest, IL · On-site

$134K - $223K/yr

The Manager also partners across machine learning, analytics, finance, and broader data engineering groups to align architectures, uphold governance, and deliver productionready data products that ...

Sr. AI/ML Engineer

Deerfield, IL · On-site

$106K - $145K/yr

... applied machine learning, deep learning, and AI system deployment * Strong Python engineering ... background with ML/DL frameworks: TensorFlow, PyTorch, Keras, OpenCV * Proven experience in ...

Lead ML Ops engineer

Racine, WI · On-site

$96K - $126K/yr

They are seeking an experienced Lead Machine Learning Operations Engineer to manage a team, oversee the machine-learning strategy, and ensure alignment with business goals. Responsibilities : • ...

Embedded Software Engineer

Mundelein, IL

$134K - $176K/yr

Through custom underwater cameras, computer vision, and machine learning we are able to quantify ... Edge engineering is responsible for the hardware and software orchestrating the hardware installed ...

Senior AI Engineer

Racine, WI · On-site

$98K - $134K/yr

They are seeking a Senior AI Engineer to lead the design and implementation of production-grade AI solutions, focusing on machine learning, optimization, and generative AI while providing technical ...

Lead ML Ops engineer

Racine, WI · On-site

$96K - $126K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

Lead ML Ops engineer

Racine, WI · On-site

$96K - $126K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

Validate machine learning models by evaluating prediction accuracy against historical and real ... Cloud, Container & DevOps Testing * Test applications deployed as Docker containers across multiple ...

... machine learning algorithms * Develop and conduct technical training programs for staff on ... PLC programming certifications, robotics experience, machine vision systems expertise preferred

... machine learning algorithms * Develop and conduct technical training programs for staff on ... PLC programming certifications, robotics experience, machine vision systems expertise preferred

... DevOps * Excellent communication, interpersonal, and stakeholder management skills * Understanding of statistical methods and probability theory Preferred: * Experience with machine learning ...

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Machine Learning Engineer information

See Gurnee, IL salary details

$30.2K

$123.6K

$185.7K

How much do machine learning engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for machine learning engineer in Gurnee, IL is $123,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $148,800.00 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 cities near Gurnee, IL are hiring for Machine Learning Engineer jobs? Cities near Gurnee, IL with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Gurnee, IL as of May 2026, with employment types broken down into 1% Internship, 53% Full Time, 44% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $123,595 per year, or $59.4 per hour.
Software Engineer (Entry Level)

Software Engineer (Entry Level)

SynergisticIT

Racine, WI

Other

Posted 27 days ago


Job description

2024 is almost over and we hope the Job market improves . Almost 600,000 tech employees have been laid off since 2022 and it's still ongoing. The effect of this has led hundreds of thousands of laid off Tech employees competing with existing Jobseekers.
Entry level Job seekers struggle to get responses to their applications, are getting ghosted after interviews. In such a scenario the Job seekers need to differentiate themselves by ensuring to obtain exceptional skills and technologies so that they can wear multiple roles at a client as clients now would want to expand roles and responsibilities assigned to a particular job to save costs.
Since 2010 Synergisticit has helped Jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a Job we make careers.
All Positions are open for all visas and US citizens
We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this challenging economy every client wants to save $$$'s and they want the best value for their money. Jobseekers need to self-evaluate if they have the requisite skills to meet client requirements and needs as Clients now post covid can also hire remote workers which increases even more competition for jobseekers.
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
please check the below links :
https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
For preparing for interviews please visit https://www.synergisticit.com/interview-questions/
We are looking for the right matching candidates for our clients
Please apply via the job posting
REQUIRED SKILLS For Java /Full stack/Software Programmer
• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Project work on the skills
• Knowledge of Core Java , javascript , C++ or software programming
• Spring boot, Microservices, Docker, Jenkins and REST API's experience
• Excellent written and verbal communication skills
For data Science/Machine learning Positions
REQUIRED SKILLS
• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Project work on the technologies needed
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
• Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow
If you get emails from our skill enhancement team please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.
No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates