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Machine Learning Engineer Jobs in Crystal Lake, IL

Aquabyte

Machine Learning Engineer

Mundelein, IL

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120.90K - $159.40K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120.90K - $159.40K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120.90K - $159.40K/yr

Our machine learning engineering team is responsible for developing infrastructure and tooling to help enable data driven decisions and insights at scale for millions of Paylocity users. As a Senior ...

Varsity Tutors

Machine Learning Tutor

Dekalb, IL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Schaumburg, IL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Buffalo Grove, IL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Lake Forest, IL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

CDW

Senior ML, MLOps Engineer

Vernon Hills, IL · On-site

$101.80K - $139.80K/yr

The Senior ML / MLOps Engineer designs, builds, and operates scalable machine learning solutions on the Databricks platform. This role partners closely with data scientists and analytics teams to ...

Grainger Businesses

Mgr, Data Engineering

Lake Forest, IL · On-site

$134.10K - $223.50K/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 ...

Grainger Businesses

Mgr, Data Engineering

Lake Forest, IL

$134.10K - $223.50K/yr

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

Grainger Businesses

Mgr, Data Engineering

Lake Forest, IL · On-site +1

$134.10K - $223.50K/yr

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

Paylocity

Staff Data Scientist

Schaumburg, IL · On-site

Your primary focus will be to apply knowledge of statistics, machine learning, programming, data modeling, to recognize patterns, identify opportunities, pose business questions, and make valuable ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Crystal Lake, IL

Machine Learning Engineer information

See Crystal Lake, IL salary details

$30.5K

$124.9K

$187.7K

How much do machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning engineer in Crystal Lake, IL is $124,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $150,300.00 per year, depending on experience, location, and employer.

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 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 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 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 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 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 Crystal Lake, IL are hiring for Machine Learning Engineer jobs? Cities near Crystal Lake, IL with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you

Machine Learning Engineer

Aquabyte

Mundelein, IL

Full-time

Posted 24 days ago

Job description

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish farms across the world. You’ll be responsible for software and machine learning model development of our on-camera and cloud software.
 
Our mission
Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.
 
We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.
 
Our product
We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.
 
Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.
 
The role
As a Machine Learning Engineer you will be responsible for developing Machine Learning models and pipelines as well as interacting with databases and data infrastructure. Conducting in-depth data analytics and building statistical data inference models of biological processes. This role is on the AI team where we develop image and video inference pipelines to estimate the weight, health and behavior of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.
Required Qualifications
  • BS/MS in relevant technical degree
  • 3+ years of experience with data-science
  • Strong coding ability; strong grasp of Python, SQL
  • Strong data analytics & modeling & ML skills
  • Strong data pipeline and data management skills
  • Strong software engineering skills; knowledge of best practices, testing, and deployment
Bonus Qualifications
  • Familiarity with; snowflake, dbt, airflow, pandas
  • Experience with Docker and cloud SW development (i.e. AWS)
Benefits
  • Competitive salary and equity
  • Unlimited vacation policy
  • Flexible working hours
  • Medical, vision, & dental insurance
  • Retirement matching plan
  • Potential travel to Norway
  • Evolve in a fast-paced environment
  • Be able to shape a business in its early days
  • Get ideas, feedback, and suggestions from other best-in-their-field colleagues
  • Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow
Aquabyte takes a market-based approach to compensation. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location.
At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don’t satisfy all the requirements, and we will get back to you as soon as possible! 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.