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Machine Learning Contract Remote Jobs in Illinois

... contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance. Responsibilities * Develop and apply computational and machine learning ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

$99K - $225K/yr

As a machine learning engineer on our Defense Technology team, you'll train, test, deploy, and ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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Machine Learning Contract Remote information

See Illinois salary details

$7

$22

$56

How much do machine learning contract remote jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for machine learning contract remote in Illinois is $22.40, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $26.01 per hour, depending on experience, location, and employer.

What is a machine learning contract remote job?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What skills and qualifications are needed to thrive as a machine learning contractor in a remote role?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are common challenges faced by remote machine learning contractors, and how can they be addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

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

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are popular job titles related to Machine Learning Contract Remote jobs in Illinois?

For Machine Learning Contract Remote jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Machine Learning Contract Remote jobs in Illinois look for?

The top searched job categories for Machine Learning Contract Remote jobs in Illinois are:

What cities in Illinois are hiring for Machine Learning Contract Remote jobs?

Cities in Illinois with the most Machine Learning Contract Remote job openings:

Water Treatment Process & Remote Monitoring Engineer

WaterSurplus

Loves Park, IL • On-site, Remote

$100K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 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
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.