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Full Time Machine Learning Civil Engineering Jobs

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Sehinc

Civil Engineer

Saint Cloud, MN · On-site

$65K - $82K/yr

... learning!" - Civil Engineer * "This is the first company I've worked for with a true ... Supporting members of our Civil Engineering teams. * Use of AutoCAD Civil 3D for analysis and ...

Sehinc

Civil Engineer

Minnetonka, MN · On-site

$60K - $80K/yr

... learning!" - Civil Engineer * "This is the first company I've worked for with a true ... Supporting members of our Civil Engineering teams. * Use of AutoCAD Civil 3D for analysis and ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the Research and Development Team, where ...

Sehinc

Senior Civil Engineer

Austin, TX · On-site

... learning!" - Civil Engineer * "This is the first company I've worked for with a true ... Communicate SEH's civil engineering capabilities to prospective and current clients, establishing ...

SAIC

Machine Learning Developer

Arlington, VA · On-site

The ideal candidate will have a strong background in computer science, software engineering, and experience with machine learning algorithms and frameworks. The Machine Learning Developer will ...

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

Collaborate with the engineering team to integrate machine learning solutions into projects. Stay updated on the latest machine learning technologies and trends. Develop and implement quantum machine ...

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Full Time Machine Learning Civil Engineering information

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$38K

$82.7K

$123K

How much do full time machine learning civil engineering jobs pay per year?

As of Jun 7, 2026, the average yearly pay for full time machine learning civil engineering in the United States is $82,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $98,500.00 per year, depending on experience, location, and employer.

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

To succeed as a Full-Time Machine Learning Civil Engineer, you need a solid background in civil engineering principles, mathematics, and statistics, often backed by an engineering degree and experience with machine learning algorithms. Familiarity with programming languages like Python or MATLAB, data analysis tools, and software such as TensorFlow or AutoCAD is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and effective communication skills help you bridge the gap between engineering challenges and data-driven solutions. These skills are crucial for innovating infrastructure designs, optimizing construction processes, and delivering reliable, efficient engineering outcomes.

How do machine learning engineers in civil engineering typically collaborate with domain experts and project teams?

Machine learning engineers in civil engineering often work closely with civil engineers, data scientists, and project managers to ensure that predictive models and analytical tools are effectively integrated into engineering projects. Collaboration usually involves understanding specific project requirements, translating engineering problems into data-driven solutions, and iterating on models based on feedback from field experts. Regular meetings, cross-functional workshops, and shared documentation are common practices to align technical goals with civil engineering objectives. This collaborative approach helps to ensure that machine learning applications are both technically sound and practically relevant to real-world engineering challenges.

What is the difference between Full Time Machine Learning Civil Engineering vs Full Time Structural Civil Engineering?

AspectFull Time Machine Learning Civil EngineeringFull Time Structural Civil Engineering
Required CredentialsBachelor's or Master's in Civil Engineering, plus knowledge of machine learningBachelor's or Master's in Civil Engineering, focus on structural design
Work EnvironmentDesigning algorithms, data analysis, software developmentDesigning, analyzing, and constructing structural systems
Industry UsageUrban planning, infrastructure projects, smart city developmentBuilding design, bridges, buildings, and other structures

Full Time Machine Learning Civil Engineering combines civil engineering principles with machine learning skills to develop intelligent infrastructure solutions. In contrast, Full Time Structural Civil Engineering focuses on designing and analyzing physical structures. Both roles require civil engineering credentials but differ in technical focus and daily tasks.

What is a Full Time Machine Learning Civil Engineering job?

A Full Time Machine Learning Civil Engineering job involves applying machine learning techniques and data analysis to solve problems in civil engineering fields such as structural analysis, construction management, transportation, and environmental engineering. Professionals in this role use algorithms and data-driven models to optimize designs, predict failures, automate processes, and improve efficiency in civil engineering projects. These roles typically require strong knowledge of both civil engineering principles and machine learning tools, and are full-time positions within engineering firms, research institutions, or governmental agencies.
Infographic showing various Full Time Machine Learning Civil Engineering job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 43% Full Time, 43% Part Time, 1% Temporary, and 11% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $82,674 per year, or $39.7 per hour.
Machine Learning Engineer

Machine Learning Engineer

Strategic Employment

Chicago, IL • Hybrid

Full-time

Posted 11 days ago

Job description

A well-established, publicly traded company in Chicago is hiring its first full-time Machine Learning Engineer. After two years of running ML systems in production through an outside consulting firm, this organization is building the capability in-house. This is a hands-on individual contributor role where you would be building new ML pipelines and models, while also maintaining and improving what is already in production.

Hybrid: 3 days onsite, 2 days remote

Downtown Chicago

What You Bring:

  • 4+ Machine Learning engineering experience
  • Hands-on work building, deploying, and maintaining models in production
  • Python experience
  • Full pipeline experience: data ingestion, training, evaluation
  • Understand MLOps

Pluses:

  • AWS SageMaker experience
  • Generative AI
  • SQL and/or other relational databases

US work authorization required; sponsorship is not available.

If this sounds like the right scope for where you are in your career, we would like to hear from you.


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About Strategic Employment Partners

Sourced by ZipRecruiter

Strategic Employment Partners (SEP) was founded in 2007, serving companies in the Greater Los Angeles area by providing Technology Recruiting and Placement Services. With the combined experience of our seasoned professionals, SEP quickly began to build strong partnerships and provide curated talent for some of the largest and fastest growing companies in Los Angeles. Since then, SEP has expanded its operations and currently has eight divisions nationwide.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006

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