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Machine Learning Water Resource Engineering Jobs

GZA GeoEnvironmental

Water Resource Engineer

Norwood, MA · On-site

$89K - $122K/yr

Experience with project management, construction phase engineering experience and regulatory ... Our Water Resources Engineers work on a wide variety of projects including, but not limited to ...

Teck

$92K - $126K/yr

... in Engineering (water resources, environmental, chemical, geochemical, mining or equivalent) • Two (2) years (three years preferred) of relevant experience in water resources management or ...

Anchor QEA

Junior Water Resource Engineer

Seattle, WA · On-site

$89K - $122K/yr

Performing technical analyses and supporting the development of civil engineering design documents for water resources management, water supply, water conveyance, water storage, stormwater, and ...

Anchor QEA

Junior Water Resource Engineer

Seattle, WA · On-site

$89K - $122K/yr

Performing technical analyses and supporting the development of civil engineering design documents for water resources management, water supply, water conveyance, water storage, stormwater, and ...

Anchor Qea

Junior Water Resource Engineer

Seattle, WA · On-site +1

$89K - $122K/yr

Performing technical analyses and supporting the development of civil engineering design documents for water resources management, water supply, water conveyance, water storage, stormwater, and ...

Lotus Water

WATER RESOURCES ENGINEER II

San Francisco, CA · On-site

$93K - $127K/yr

In addition to performing civil design tasks, this candidate will work closely with senior staff and be mentored in the areas of hydrology and hydraulic modeling, water resource engineering ...

Lotus Water

WATER RESOURCES ENGINEER II

San Francisco, CA · On-site

$93K - $127K/yr

In addition to performing civil design tasks, this candidate will work closely with senior staff and be mentored in the areas of hydrology and hydraulic modeling, water resource engineering ...

Lotus Water

WATER RESOURCES ENGINEER II

San Francisco, CA · On-site

$93K - $127K/yr

In addition to performing civil design tasks, this candidate will work closely with senior staff and be mentored in the areas of hydrology and hydraulic modeling, water resource engineering ...

WSP

Senior Water Resources Engineer

Tampa, FL

Remain current in latest water resource engineering techniques. * Exercise responsible and ethical decision-making regarding company funds, resources and conduct, and adhere to WSP's Code of Conduct ...

VHB

Water Resources Project Manager

Watertown, MA · On-site

$120K - $160K/yr

... learning. * Identify both short-term deadlines, deliverables, and tasks as well as long-term client ... Bachelor's degree in civil/environmental/water resource engineering or related discipline, master ...

WSP

Senior Water Resources Engineer

Tampa, FL · On-site

Remain current in latest water resource engineering techniques. * Exercise responsible and ethical decision-making regarding company funds, resources and conduct, and adhere to WSP's Code of Conduct ...

VHB

Water Resources Project Manager

Watertown, MA · Hybrid

$120K - $160K/yr

... learning. * Identify both short-term deadlines, deliverables, and tasks as well as long-term client ... Bachelor's degree in civil/environmental/water resource engineering or related discipline, master ...

VHB

Water Resources Project Manager

Watertown, MA · Hybrid

$120K - $160K/yr

... learning. * Identify both short-term deadlines, deliverables, and tasks as well as long-term client ... Bachelor's degree in civil/environmental/water resource engineering or related discipline, master ...

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All JobsMachine Learning Water Resource Engineering Jobs

Machine Learning Water Resource Engineering information

See salary details

$29K

$93.9K

$133.5K

How much do machine learning water resource engineering jobs pay per year?

As of Jun 7, 2026, the average yearly pay for machine learning water resource engineering in the United States is $93,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $108,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Water Resource Engineer, you need a solid background in hydrology, water resource engineering, and machine learning, often supported by a relevant degree in civil/environmental engineering or computer science. Experience with programming languages (such as Python or R), data analysis tools, hydrologic modeling software, and machine learning frameworks is highly valued. Strong problem-solving, analytical thinking, and communication skills help professionals interpret complex data and collaborate effectively with multidisciplinary teams. These skills are crucial for developing innovative solutions to water management challenges and ensuring effective, data-driven decision-making.

What is the difference between Machine Learning Water Resource Engineering vs Water Resources Engineer?

AspectMachine Learning Water Resource EngineeringWater Resources Engineer
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; knowledge of machine learningBachelor's or Master's in Civil, Environmental Engineering, or related fields
Work EnvironmentResearch labs, tech companies, consulting firms focusing on data-driven solutionsGovernment agencies, consulting firms, environmental organizations managing water systems
Industry UsageDeveloping predictive models for water management, flood prediction, and resource optimizationDesigning water supply systems, flood control, and water quality management

While both roles involve water resources, Machine Learning Water Resource Engineering focuses on applying data science and machine learning techniques to water management challenges. Water Resources Engineers typically work on designing and managing water infrastructure. The two roles often collaborate but differ in technical focus and skill sets.

What is machine learning in water resource engineering?

Machine learning in water resource engineering refers to the use of advanced algorithms and data-driven models to analyze, predict, and optimize water-related systems. These methods help engineers forecast water demand, model hydrological processes, manage water quality, and optimize resource allocation. By leveraging large sets of environmental and operational data, machine learning improves decision-making and efficiency in managing water resources under changing environmental conditions.

How do professionals in Machine Learning Water Resource Engineering typically collaborate with experts from other fields?

Professionals in Machine Learning Water Resource Engineering frequently work in interdisciplinary teams, collaborating with hydrologists, civil engineers, data scientists, and environmental planners. These collaborations are essential for integrating domain-specific knowledge with advanced modeling techniques, ensuring that machine learning models accurately reflect real-world water systems. Effective communication and teamwork are crucial, as project success often depends on synthesizing diverse expertise to develop robust, scalable solutions for challenges like flood prediction, water quality monitoring, and resource management.
Water Resources Engineer (Rail)

Water Resources Engineer (Rail)

Harrison Consulting Solutions

Phoenix, AZ

Full-time

Posted 9 days ago

Job description

Multidisciplinary design firm is seeking a Senior Rail Water Resources Engineer to join their Phoenix team!


Responsibilities:

  • Provide various engineering/project management duties related to hydrologic/hydraulic analysis for Class I Railroad projects
  • Assist with scope/schedule development
  • Prepare technical reports
  • Review CAD drawings
  • Obtain local, state, and federal permits for water resources projects
  • Travel to job sites as required


Requirements:

  • Bachelor's degree in engineering
  • 6+ years of related water resource engineering experience
  • 3+ years of experience leading or mentoring junior staff
  • PE License
  • Experience with AutoCAD, MicroStation, GIS, HEC-RAS, HEC-HMS or other related hydrologic and hydraulic software preferred


Salary is commensurate with experience.


Successful applicants must be authorized to work in the USA without sponsorship.


All qualified applicants will receive consideration for employment without regard to protected veteran status, disability, race, color, religion, sex, sexual orientation, gender identity, or national origin.


Please contact Laura Harrison for further information!


www.harrisonconsultingsolutions.com


517-906-6926