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Remote Machine Learning Jobs in Rockford, IL (NOW HIRING)

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Rockford, IL

Remote Machine Learning information

See Rockford, IL salary details

$25.5K

$42.6K

$88.1K

How much do remote machine learning jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote machine learning in Rockford, IL is $42,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are popular job titles related to Remote Machine Learning jobs in Rockford, IL? For Remote Machine Learning jobs in Rockford, IL, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Rockford, IL look for? The top searched job categories for Remote Machine Learning jobs in Rockford, IL are:
What cities near Rockford, IL are hiring for Remote Machine Learning jobs? Cities near Rockford, IL with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Rockford, IL as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $42,619 per year, or $20.5 per hour.
Water Treatment Process & Remote Monitoring Engineer

Water Treatment Process & Remote Monitoring Engineer

Hawkins Inc.

Loves Park, IL • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Hawkins, Inc./WaterSurplus is a trusted and well-known leader in the chemical industry for over 80 years.  We have opportunities for motivated hard workers to learn and develop a career with our Water Treatment business segment.  Our route sales/delivery approach to supplying products and equipment to our customers in 27+ states ensures superb customer service and support.  Our customers include water and wastewater treatment systems, municipal and commercial swimming pools, industrial process and wastewater facilities, and industries like oil/gas and agricultural farmers/growers.

Learn more about us at www.hawkinsinc.com (NASDAQ: HWKN).

ABOUT THE JOB

The Water Treatment Process Engineer/Remote Monitoring Engineer optimizes water and wastewater treatment processes across multiple facilities through process engineering, remote monitoring, and operational analytics. This role improves treatment performance, compliance, reliability, and efficiency by leveraging data, automation, and advanced monitoring tools. The position serves as the technical lead for process optimization, remote diagnostics, and performance monitoring, partnering with operators, field service teams, and clients to ensure safe, efficient, and compliant facility operations.

DUTIES AND RESPONSIBILITIES

  • Monitor water treatment plant parameters (e.g., pH, turbidity, flux, flow rates, and chemical dosing) using SCADA, IoT, or cloud-based monitoring platforms.
  • Analyze operational data to identify opportunities for process improvement, cost reduction, energy savings, and enhanced treatment performance.
  • Perform real-time adjustments to process controls, alarm settings, and automation systems to maintain optimal treatment performance.
  • Develop process control strategies and operational best practices for reverse osmosis treatment systems.
  • Conduct root cause analyses of operational issues and recommend corrective actions to customer plant personnel.
  • Support the startup, commissioning, troubleshooting, and performance testing of treatment systems.
  • Develop standard operating procedures (SOPs), dashboards, key performance indicators (KPIs), technical reports, and reporting tools to track facility performance and operational trends.
  • Establish alarm management protocols and escalation procedures.
  • Ensure continuous monitoring coverage and timely response to critical system events.
  • Drive continuous improvement of remote monitoring capabilities and supporting technologies.
  • Analyze operational, process, and asset performance data to identify trends and optimization opportunities.
  • Develop predictive monitoring and performance management tools. Use monitoring data to anticipate equipment failures and proactively schedule maintenance. 
  • Utilize statistical analysis and process modeling tools to support operational decision-making.
  • Provide technical guidance and support to engineering, rental, and site services teams.
  • Serve as the subject matter expert for treatment processes and process control systems.
  • Conduct operator training on process optimization and monitoring systems.
  • Establish performance metrics and operational objectives for the remote monitoring program.
  • Collaborate with the Chief Technology Officer to develop program enhancements and machine learning capabilities for the remote monitoring program.
  • Other duties as assigned.

ABOUT YOU

  • Bachelor’s degree in Chemical, Environmental, Mechanical, Electrical, or a related engineering discipline.
  • Five (5+) years of experience in water or wastewater treatment, process engineering, industrial automation, process optimization, or remote operations monitoring.
  • Strong knowledge of water and wastewater treatment technologies, regulatory requirements, and treatment processes, including membrane systems, biological treatment, nutrient removal, and industrial water applications.
  • Proficiency in data analytics, process modeling, statistical analysis, and performance monitoring using tools such as Power BI, Tableau, SQL, and Excel; experience with advanced process control, predictive analytics, or machine learning is a plus.
  • Demonstrated ability to analyze operational data, troubleshoot complex process issues, and implement process improvements that enhance performance, reliability, compliance, and efficiency.
  • Experience supporting multiple facilities, remote operations centers, or centralized monitoring programs while effectively managing competing priorities.
  • Strong analytical, decision-making, communication, and collaboration skills, with a customer-focused and continuous improvement mindset.
  • Proficiency with Microsoft Office Suite.

PHYSICAL REQUIREMENTS:

The physical demands described below are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Ability to travel to and work within water and wastewater treatment facilities and other industrial environments.
  • Ability to walk, stand, climb stairs, bend, and navigate treatment plant and facility environments during site visits.
  • Ability to operate standard office equipment, including personal computers, phones, printers, and other business technology.
  • Work requires close vision and the ability to view computer monitors and analyze technical data for extended periods.
  • May be required to lift and carry equipment, materials, or supplies weighing up to 25 pounds.
  • Availability to respond to critical operational issues outside of standard business hours.
  • Valid U.S. Driver’s License and the ability to travel independently are required.

TRAVEL:

  • Position is primarily remote; however, travel to customer, treatment facility, and company locations is required as needed.

COMPENSATION: $100k-$135K Base + 10% bonus eligibility 

Hawkins/WaterSurplus offers eligible employees and their dependents comprehensive benefits, which includes medical, dental, vision, life insurance, LTD/STD and more.Other benefits for eligible employees include 401(k) match, Employee Stock Purchase program (ESPP), paid time off, and paid holidays.

For more information on Hawkins benefits, visit:   https://www.hawkinsinc.com/careers/benefits/

Ref 2027-079

All applications must be received online.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristics protected by law.  Hawkins is a Drug Free workplace

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