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

TERRACON

Staff Engineer

Lubbock, TX · On-site

Provide engineering and consulting services for a broad array of projects and clients. This may include performing and/or leading field investigations, engineering analysis, calculations, and ...

Ferrovial

Webber - Utility Laborer - Heavy Civil

Lubbock, TX

$15.25 - $19.50/hr

Webber also has an in-house engineering services department to help optimize building efficiency ... May be a second step in learning a skill. ESSENTIAL DUTIES AND RESPONSIBILITIES * Lift, carry and ...

Ferrovial

Webber - Utility Laborer - Heavy Civil

Lubbock, TX · On-site

$15.25 - $19.50/hr

Webber also has an in-house engineering services department to help optimize building efficiency ... May be a second step in learning a skill. ESSENTIAL DUTIES AND RESPONSIBILITIES * Lift, carry and ...

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Showing results 21-29

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

Machine Learning Engineer information

See Lubbock, TX salary details

$27.1K

$110.6K

$166.2K

How much do machine learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning engineer in Lubbock, TX is $110,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $133,100.00 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 popular job titles related to Machine Learning Engineer jobs in Lubbock, TX?

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

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

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

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

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Lubbock, 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 $110,579 per year, or $53.2 per hour.

Staff Engineer

TERRACON

Lubbock, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Terracon rating

7.5

Company rating: 7.5 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

49th of 72 rated business consultants

Job description


Provide engineering and consulting services for a broad array of projects and clients. This may include performing and/or leading field investigations, engineering analysis, calculations, and recommendations, design and development of plans and specifications, observation and inspection, and the writing, preparation, and review of related reports for the services provided. Review drawings and construction to assure compliance with plans and specifications. Prepare proposals and cost estimates, track and evaluate project progress, budgets, and recommend changes. Research and resolve design and construction problems. Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and non-technical clients and project teams. Services may be provided for existing or proposed projects in a variety of sectors, including for example public works, transportation, commercial, communications, energy, and industrial.
Terracon is a 100 percent employee-owned multidiscipline consulting firm comprised of more than 8,000 curious minds focused on solving engineering and technical challenges from more than 200 locations nationwide. Since 1965, Terracon has evolved into a successful multi-discipline firm specializing in environmental, facilities, geotechnical, and materials services. Terracon's growth is due to our talented employee-owners exceeding expectations in client service and growing their careers with new and exciting opportunities in the marketplace. Terracon was recognized as the #1 firm in Asbestos and Lead Abatement.

Terracon's vision of "Together, we are best at people" is demonstrated through our excellent compensation and benefits package. Based on eligibility, role and job status, we offer many programs including medical, dental, vision, life insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus programs.
Innovation and hands-on practice come together in our geotechnical consulting services. We provide geotechnical services nationwide for a wide range of projects, drawing on six decades of historical geotechnical data, a fleet of more than 200 drill rigs, 140 accredited laboratories, and thousands of employees to quickly organize or capture site data wherever projects are located.From AI-supported solutions and predictive technologies to geophysics and traditional exploration, we deliver precision, value-added subsurface information and engineering and scientific expertise to solving our clients' challenges and achieve their goals for project sustainability, quality, and efficiency.Requirements:
  • Bachelor's degree in Engineering.
  • Minimum 1-3 years' experience.
  • Master's degree in Engineering preferred.
  • Valid driver's license with acceptable violation history.
  • Engineer-in-Training (EIT) or Engineering Intern (EI) required.
  • Follow safety rules, guidelines and standards for all projects. Participate in pre-task planning. Report any safety issues or concerns to management.
  • Demonstrate quality practices and acumen.
  • Provide consistent quality standards on proposal and project delivery.
  • Proficient engineering professional responsible for managing and executing small projects of minimal complexity.
  • Assist in developing the scope of work for routine projects.
  • Assist in the preparation of cost estimates, specifications, and other project related documents.
  • Analyze data, and perform engineering calculations and analysis for PE review.
  • Conduct, coordinate or supervise field investigations, laboratory testing, and evaluation of respective data.
  • Develop plans, schedules, conducts, and/or coordinates detailed phases of assigned project work.
  • Work closely with senior-level project manager and Professional Engineer of Record to gain project management and engineering experience.
  • Makes design recommendations, adaptations and modifications for review and consideration by the Professional Engineer of Record.
  • Prepares work scope, proposals and reports and plans investigations for approval by senior level professionals.
  • May supervise field staff including graduate/field engineers, engineering technicians, exploration teams, laboratory staff and other support personnel.
  • Interacts with client and project team in developing scope of services and communicating project progress.
  • Works under the supervision of a Professional Engineer and a Terracon Authorized Project Reviewer.

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