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Machine Learning Engineer Jobs in El Paso, TX (NOW HIRING)

Brown and Caldwell

Staff Engineer

El Paso, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Staff Engineer role supports senior engineers by performing basic tasks and coordination. The role assists a regional utility company in their land department with data collection, GIS support ...

Brown and Caldwell

Staff Engineer

El Paso, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Staff Engineer role supports senior engineers by performing basic tasks and coordination. The role assists a regional utility company in their land department with data collection, GIS support ...

Raytheon

Navigation/IMU Engineer II

El Paso, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Navigation/IMU Engineer shall be able to understand the fundamentals of how IMUs work, how they are tested and be able to analyze IMU performance data. The engineer shall have a basic ...

W3Global Inc.

Lead Engineer

El Paso, TX

$170K - $200K/yr

As a senior technical leader, you'll help define propulsion systems, airframe architecture, power modeling, and core systems engineering decisions that move us from concept to prototype and beyond.

Quest Diagnostics Incorporated

Software Engineer

El Paso, TX

$110K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job brief Quest Diagnostics is looking for a Software Engineer to create well-designed, effective, testable, and specification-compliant code and carry out the entire product development lifecycle.

Raytheon

Engineer II - Warhead/Lethality

El Paso, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Engineer II - Warhead role is in Tucson, AZ and is an onsite position. What You Will Do * Apply or develop highly advanced technologies, scientific principles, theories, and concepts to warhead ...

Meta

Lead Building Engineer

El Paso, TX

$104K/yr

The Lead Building Engineer will be a part of the Facility Operations team responsible for operating ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Raytheon

Senior Navigation/IMU Engineer

El Paso, TX

$94K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Navigation/IMU Engineer shall be able to understand the fundamentals of how IMUs work, how they are tested and be able to analyze IMU performance data. The engineer shall have a basic ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in El Paso, TX

Machine Learning Engineer information

See El Paso, TX salary details

$28.5K

$116.5K

$175K

How much do machine learning engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for machine learning engineer in El Paso, TX is $116,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $140,200.00 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 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 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 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 the most commonly searched types of Machine Learning Engineer jobs in El Paso, TX?

The most popular types of Machine Learning Engineer jobs in El Paso, TX are:

What are popular job titles related to Machine Learning Engineer jobs in El Paso, TX?

For Machine Learning Engineer jobs in El Paso, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in El Paso, TX look for?

The top searched job categories for Machine Learning Engineer jobs in El Paso, TX are:

What cities near El Paso, TX are hiring for Machine Learning Engineer jobs?

Cities near El Paso, TX with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in El Paso, TX as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $116,464 per year, or $56 per hour.

Engineer I, Mechanical Engineering, Harness & Interconnect

Raytheon

El Paso, TX

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

2nd of 540 rated manufacturers

Job description

Date Posted:

2026-08-12

Country:

United States of America

Location:

US-AZ-TUCSON-M10 ~ 3360 E Hemisphere Loop ~ BLDG M10

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance​

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Active and existing security clearance required on day 1

Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world.

Join us and help shape the future of aerospace and defense.

What You Will Do 

  • You will contribute your knowledge of engineering practices and problem-solving to perform mechanical design and development activities.

  • You will support, contribute, and collaborate in a team environment, receiving inputs from program or team experts, and work on projects, determining and developing approaches and solutions.


What You Will Learn

  • The PCAS organization provides ample opportunities for hands-on hardware work. PCAS engineers are exposed to a variety of lab activities including engineering builds, hardware integration, and hardware verification.​

  • The PCAS organization provides a strong technical learning environment with a dedicated technology pyramid comprised of engineering fellows.  PCAS engineers are provided the opportunity for direct access to these subject matter experts, fostering accelerated technical growth.​


Qualifications You Must Have 

  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM).

  • Experience with CREO or similar 3D modeling tools.


Qualifications We Prefer

  • Specific majors: Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Systems Engineering, Mathematics, Physics, or related STEM discipline.

  • Knowledge of mechani­cal or electrical design, engineering, and analysis.

  • Knowledge of manufac­turing methods and pro­cesses, including ma­chining, casting, forging, welding, and bonding.

  • Knowledge of mechani­cal drawing practices, dimensioning, and tolerancing.

What We Offer

  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

  • Relocation Eligibility

Learn More & Apply Now! (Optional)

  • Please consider the following role type definition as you apply for this role.

  • Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 57,200 USD - 108,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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