ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Dallas, TX (NOW HIRING)

Cisco

Principal Machine Learning Engineer

Dallas, TX

$291K - $369K/yr

Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Performacentric

ML Engineer

Dallas, TX · On-site +1

Machine Learning Engineer (Llama AI Platform) Location: Remote (Preferred U.S. Time Zones) Employment Type: Full-Time Company: Performacentric About Performacentric Performacentric helps small and ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX

$101K - $138K/yr

Develop machine learning models and algorithms to address business needs. Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions. Clean ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Responsibilities: • Develop machine learning models and algorithms to address business needs. • Collaborate with data scientists and software engineers to design and implement scalable and ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Dallas, TX

Machine Learning Engineer information

See Dallas, TX salary details

$31.3K

$127.9K

$192.2K

How much do machine learning engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for machine learning engineer in Dallas, TX is $127,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $154,000.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 Dallas, TX? The most popular types of Machine Learning Engineer jobs in Dallas, TX are:
What are popular job titles related to Machine Learning Engineer jobs in Dallas, TX? For Machine Learning Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Dallas, TX look for? The top searched job categories for Machine Learning Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Machine Learning Engineer jobs? Cities near Dallas, TX with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Dallas, TX as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $127,925 per year, or $61.5 per hour.
Forge AI/Machine Learning Engineer Senior - Dallas, Tx

Forge AI/Machine Learning Engineer Senior - Dallas, Tx

Lockheed Martin Corporation

Grand Prairie, TX • On-site

$99K - $137K/yr

Other

Posted 8 days ago

Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 387 frontline employees who took The Breakroom Quiz

30th of 60 rated aerospace companies

Job description

You will be the A/AI Machine Learning Engineer Sr. for The Forge team. Our team delivers endtoend AI/ML solutions that transform raw data into actionable insights for LockheedMartin Missiles & Fire Control programs.


What You Will Be Doing


As the A/AI Machine Learning Engineer Sr you will be responsible for leading technical execution of highvisibility AI projects and delivering measurable value to customers.


Your responsibilities will include, but are not limited to:



  • Design, develop, and deploy AI/ML pipelines that address engineering, manufacturing, and businessoperations challenges (e.g., testpoint reduction, automated calibration, AIenhanced document search, computervision inspection).

  • Build and implement edgedeployed AI/ML solutions for classified, airgapped environments.

  • Lead crossfunctional solution teams using a consultingstyle project framework, coordinating engineering design, production, and business operations.

  • Partner directly with program customers to define valuedriven outcomes and deliver measurable results (cost, labor, yield, schedule).

  • Own the full DevOps lifecycle-CI/CD, containerization, model monitoring, and governance-for secure, highassurance AI in defense systems.


Why Join Us


We are looking for a collaborative, purposedriven professional who thrives on turning complex data into highimpact solutions that keep the warfighter safe and advance aerospace innovation. This role offers high visibility, direct influence on missioncritical programs, and a clear path for career growth within a worldclass aerospace organization.


We are committed to supporting your worklife balance and overall wellbeing, offering flexible 4day10hour schedules. Learn more about LockheedMartin's comprehensive benefits package here.


Further Information About This Opportunity


This position is in Dallas. Discover more about our Dallas, Texas location.


MUST BE A U.S. CITIZEN-This position is located at a facility that requiresspecial access. The selected candidate must be able to obtain a secretclearance. A companysponsored interim secret clearance is required to start.

What Lockheed Martin employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Lockheed Martin logo

About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912

View All Lockheed Martin Jobs

Apply