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Machine Learning Engineer Jobs in Crystal Lake, IL

Marmon Holdings, Inc.

Data Scientist

Carol Stream, IL · On-site

... a Engineering team to seamlessly hand-off proposed pipeline structure for inclusion in enterprise Data Lake/Data Warehouse as needed. * Develop, deploy, and maintain statistical, machine learning ...

Marmon

Data Scientist

Carol Stream, IL · Hybrid

... a Engineering team to seamlessly hand-off proposed pipeline structure for inclusion in enterprise Data Lake/Data Warehouse as needed. * Develop, deploy, and maintain statistical, machine learning ...

Knowles Corporation

Enterprise AI Architect

Itasca, IL · On-site

$67.25 - $86.75/hr

Azure OpenAI, Azure AI Foundry, Azure Machine Learning, Microsoft Fabric, Copilot Studio, Power Platform. * LLMs, RAG, AI agents, prompt engineering, grounding, evaluation, telemetry, and human-in ...

AbbVie

Principal Data Scientist

Mettawa, IL · On-site

Partner with engineering and platform teams to productionalize AI/ML solutions, including deployment, monitoring, and lifecycle management. * Stay current with advances in applied machine learning ...

AbbVie

Principal Data Scientist

Mettawa, IL

Partner with engineering and platform teams to productionalize AI/ML solutions, including deployment, monitoring, and lifecycle management. * Stay current with advances in applied machine learning ...

Allergan

Principal Data Scientist

Mettawa, IL · On-site

$150 - $210/hr

Partner with engineering and platform teams to productionalize AI/ML solutions, including deployment, monitoring, and lifecycle management. * Stay current with advances in applied machine learning ...

AbbVie

Principal Data Scientist

Mettawa, IL · On-site

$124K/yr

Partner with engineering and platform teams to productionalize AI/ML solutions, including deployment, monitoring, and lifecycle management. * Stay current with advances in applied machine learning ...

AbbVie

Principal Data Scientist

Mettawa, IL · On-site

Partner with engineering and platform teams to productionalize AI/ML solutions, including deployment, monitoring, and lifecycle management. * Stay current with advances in applied machine learning ...

Precision Resource

Machine Operator

Vernon Hills, IL · On-site

Collaborative culture with a skilled team of machinists, engineers, and leaders. * Approachable ... Operate various production machines will learning to set-up and troubleshoot each, including ...

Precision Resource

Machine Operator

Vernon Hills, IL · On-site

$16.50 - $19.75/hr

Collaborative culture with a skilled team of machinists, engineers, and leaders. * Approachable ... Operate various production machines will learning to set-up and troubleshoot each, including ...

Infosys Consulting

Insurance AI Architect

Mundelein, IL · On-site

$64.25 - $84.75/hr

Cloud AI/ML certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer, Google Cloud Professional ML Engineer) * Minimum of 10 years of relevant work experience with 2 years of ...

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Showing results 41-60

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 Sep 3, 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 is a machine learning engineer?

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 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 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 are popular job titles related to Machine Learning Engineer jobs in Crystal Lake, IL?

For Machine Learning Engineer jobs in Crystal Lake, IL, the most frequently searched job titles are:

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
Infographic showing various Machine Learning Engineer job openings in Crystal Lake, IL as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $124,877 per year, or $60 per hour.

Data Scientist

Marmon Holdings, Inc.

Carol Stream, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Marmon Holdings rating

7.7

Company rating: 7.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

Marmon Foodservice Technologies, Inc.
As a part of the global industrial organization Marmon Holdings-which is backed by Berkshire Hathaway-you'll be doing things that matter, leading at every level, and winning a better way. We're committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone's empowered to be their best.
About the Job
This role is a core contributor within the Commercial Analytics organization, supporting enterprise-level decision making across pricing, equipment lifecycle performance, customer behavior, and commercial strategy. The Data Scientist partners closely with Commercial Analytics leadership and cross-functional stakeholders to convert business questions into advanced analytical, machine learning, and AI-enabled solutions. By combining strong quantitative rigor with the ability to translate insights into practical recommendations, this role strengthens the Commercial Analytics function's mandate to deliver scalable, decision-ready intelligence that drives growth, profitability, and continuous improvement across the commercial lifecycle.
This role plays a critical part in advancing analytics across pricing, service/aftermarket, and go-to-market (GTM) decisioning. By integrating commercial, operational, and customer data, this role enables a more connected, end-to-end view of the commercial lifecycle-supporting data-driven decisions across acquisition, utilization, service, and replacement.
This role is subject to our hybrid work model: we collaborate in the office on Monday, Tuesday, and Thursday. The rest of the week, you have flexibility to work wherever it suits you best.
What You'll Do
  • Translate business requirements into analytical, machine learning, and GenAI / Agentic AI solutions, ensuring outputs are decision-ready, actionable, and accurate.
  • Integrate and analyze large, complex datasets from multiple disparate internal and external sources, ensuring data quality, consistency, and analytical rigor.
  • Design and automate predictive, explanatory, and optimization models, including forecasting, segmentation, and scenario modeling.
  • Partner with stakeholders to define KPIs, success metrics, and measurement frameworks that align analytics with business outcomes.
  • Develop and test project-specific data engineering pipelines via API inputs, ingestion/clean-up scripts, for use in visualizations and explanatory, predictive, and optimized models. Act as key SME partner for IT Data Engineering team to seamlessly hand-off proposed pipeline structure for inclusion in enterprise Data Lake/Data Warehouse as needed.
  • Develop, deploy, and maintain statistical, machine learning, and AI-enabled models to solve business problems across pricing, lifecycle performance, customer behavior, operations, and commercial strategy.
  • Leverage generative AI and agent-based approaches to accelerate insight generation, pattern detection, and analytical workflows.
  • Communicate complex analytical findings clearly through dashboards, visualizations, and executive level presentations using tools such as Power Bi or similar platforms.
  • Collaborate with analytics, data engineering, and business teams to continuously improve analytical systems, models, and processes.

Who You Are
  • Business Translator: You can bridge technical depth and business context, converting data science outputs into clear recommendations.
  • Innovative Thinker: You seek out new tools, methods, and AI-enabled approaches to improve insight generation and decision-making.
  • Quick Learner: You rapidly absorb new concepts and technologies, adapting easily to changing environments and priorities.
  • Collaborative Partner: You work effectively across functions and communicate confidently with technical and non-technical audiences.
  • Self-Directed: You take ownership of problems end-to-end and continuously look for opportunities to improve models, processes, and outcomes.
  • Analytical and Quantitative: You bring strong statistical, mathematical, and problem-solving skills to complex and ambiguous business questions.

Skills / Experience We're Looking For
  • Ability to design analytical approaches that align with business objectives, constraints, and success metrics.
  • Strong foundation in statistics, probability, and quantitative analysis, including descriptive and inferential techniques.
  • Familiarity with Generative AI and agent-based AI concepts and their application to business analytics and decision support. Hands-on usage of Microsoft Copilot tools (e.g., Copilot for M365, Copilot Studio, or embedded Copilot experiences) to accelerate analysis, code generation, and insight synthesis, and embed AI-assisted analytics into business workflows
  • Experience working within the Microsoft data (Fabric, PowerBI) and AI stack (Azure AI, Azure Machine Learning, AI Foundry)
  • Proficiency in data visualization and storytelling using Power BI, others.
  • Experience working with real world, imperfect datasets and applying sound data preparation and feature engineering techniques.
  • Experience with MS Azure or MS Fabric being a plus, or any cloud-computing environment.
  • Strong written, verbal, and presentation skills with the ability to influence decision makers.

Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field. Master's Degree holders encouraged.
  • Advanced proficiency in Python for data analysis, modeling, and automation. Strong experience building and validating machine learning models using Python/R and libraries such as pandas, scikit-learn, or equivalent.
  • Strong SQL skills for querying, joining, and optimizing large relational datasets
  • Experience in data-driven analytics or data science roles, applying quantitative methods to business problems and translating business requirements into analytical solutions.

Applicants for this position must be legally authorized to work in the United States, and employer sponsorship of visas is not available.
Benefits
We support your wellbeing with comprehensive and easy-to-use benefits that you'll be eligible to enroll in on your first day of employment. Here are some of the highlights:
  • Medical, Dental, Vision, and Prescription Drug insurance plans
  • Access to a Health Advocate who is an expert in Marmon's health plan
  • Tax-advantaged spending accounts for health and dependent care expenses
  • Wellness programs including Telehealth, Mental Health, Fitness, and Family Planning
  • Generous paid time off, holidays, and parental leave
  • Company-sponsored life insurance
  • 401(k) with fully vested company match; Marmon may also make an additional annual discretionary contribution to your account, whether or not you contribute on your own
  • Financial and retirement advising

About Marmon Holdings
Marmon Holdings, Inc., a Berkshire Hathaway company, comprises 11 groups and more than 100 autonomous businesses with total annual revenue of $10 billion. Marmon's 28,000-plus team members are celebrating the company's 70th anniversary in 2023 and helping write the next chapter of Marmon's story.
Pay Range:
80,000.00 - 120,000.00
We offer a comprehensive benefits package that may include medical, dental, vision, 401k matching, and more!
Following receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processes as permitted or required by applicable law.
We are an equal opportunity employer, and all applicants will be considered for employment without attention to their membership in any protected class. If you require any reasonable accommodation to complete your application or any part of the recruiting process, please email your request to careers@marmon.com, and please be sure to include the title and the location of the position for which you are applying.

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