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Machine Learning Engineer Apprenticeship Jobs in Lubbock, TX

Advanced Programming skills, including SQL databases and communication in a machine-to-machine ... Continuous Learning - Assesses own strengths and weaknesses; seeks feedback to improve performance ...

Statics Tutor

Lubbock, TX · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

COMMISSIONING MANAGER

Lubbock, TX · On-site

$85K - $110K/yr

At Carter Machinery, we don't just offer jobs - we offer long-term careers defined by purpose ... Shift differential (if applicable) You'll gain access to real learning, real advancement, and a ...

COMMISSIONING MANAGER

Lubbock, TX · On-site

$85K - $110K/yr

At Carter Machinery, we don't just offer jobs - we offer long-term careers defined by purpose ... Shift differential (if applicable) You'll gain access to real learning, real advancement, and a ...

Training Supervisor

Brownfield, TX · On-site

$65 - $90/hr

... established learning outcomes are being met during all working hours. * Confer with management ... programming, maintenance, and repair of machinery and equipment, time management, housekeeping ...

... established learning outcomes are being met during all working hours. * Confer with management ... programming, maintenance, and repair of machinery and equipment, time management, housekeeping ...

... established learning outcomes are being met during all working hours. * Confer with management ... programming, maintenance, and repair of machinery and equipment, time management, housekeeping ...

Completion of an apprenticeship program required. Work Experience * Appropriate training and ... Read engineering drawing * Practice good safety habits * Work in dusty or dirty surroundings

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

Showing results 21-40

Machine Learning Engineer Apprenticeship information

See Lubbock, TX salary details

$26.2K

$58.9K

$99.2K

How much do machine learning engineer apprenticeship jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine learning engineer apprenticeship in Lubbock, TX is $58,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,700.00 and $64,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer apprenticeship?

A Machine Learning Engineer Apprenticeship is a structured training program that combines hands-on work experience with classroom or online learning in the field of machine learning. Apprentices work under the guidance of experienced professionals to develop skills in data analysis, building machine learning models, and deploying algorithms in real-world applications. This apprenticeship is ideal for individuals seeking to enter the field of artificial intelligence without prior extensive experience, as it provides practical training and mentorship. Typically, apprenticeships last from several months to a couple of years and may lead to full-time employment upon successful completion.

What types of projects can I expect to work on during a machine learning engineer apprenticeship?

As a Machine Learning Engineer Apprentice, you can expect to participate in hands-on projects that involve data preprocessing, building and evaluating machine learning models, and collaborating with cross-functional teams such as data scientists and software engineers. Common projects may include developing recommendation systems, automating data analysis tasks, or implementing natural language processing solutions. These experiences provide valuable exposure to real-world datasets and industry-standard tools, helping you build foundational skills for a long-term career in machine learning.

What are the key skills and qualifications needed to thrive as a machine learning engineer apprentice, and why are they important?

To thrive as a Machine Learning Engineer Apprentice, a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts is essential, often supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and the ability to collaborate and communicate complex ideas clearly are valuable soft skills. These abilities are crucial for efficiently developing, testing, and deploying machine learning models while contributing effectively to team projects.

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

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

Infographic showing various Machine Learning Engineer Apprenticeship job openings in Lubbock, TX as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $58,924 per year, or $28.3 per hour.

IT Specialist 6 month Register-Direct Hire

US Department of the Treasury

Lubbock, TX • On-site

$106K/yr

Full-time

Posted 3 days ago

New


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

311th of 854 rated public administrative organizations


Job description


WHAT IS Information Technology Division?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • IT -
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIRMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
MINIMUM REQUIREMENTS FOR GRADE 12 LEVEL UP (GS or Equivalent) Applicants must have Information Technology related experience demonstrating each of the following nine competencies: 1) Attention to Detail, 2) Customer Service, 3) Decision Making, 4) Information Management, 5) Interpersonal Skills, 6) Oral Communication, 7) Problem Solving, 8)Teamwork and 9) Technical Competence.
SPECIALIZED EXPERIENCE GS-13: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes:
  • Applying IT principles, methods, and engineering practices to develop, implement, integrate, maintain, troubleshoot, or enhance IT systems, cloud services, databases, hardware, software, applications, interfaces, scripts, or related technology environments.
  • Developing, configuring, testing, deploying, documenting, or supporting IT solutions while ensuring compliance with applicable cybersecurity, privacy, accessibility, and regulatory requirements.
  • Collaborating with customers, stakeholders, users, and technical teams to define business or technical requirements, advising on feasible IT approaches, and implementing secure, reliable, scalable IT solutions, including application enhancements where applicable.
  • Evaluating system, service, cloud or application performance, availability, reliability, usability, and operational effectiveness; identifying technical issues, risks, recurring issues, or defects; and recommending or implementing corrective actions consistent with established policies and procedures.
  • Analyzing multiple technical alternatives and advising management or IT specialists on the appropriate technologies, architectures, engineering approaches, or implementation strategies to support organizational objectives.
And
ARTIFICIAL INTELLIGENCE (AI) EXPERIENCE
Experience that includes one or more of the following:
  • Designing, developing, implementing, integrating, or supporting Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Natural Language Processing (NLP), predictive analytics or related technologies within an IT environment
  • Evaluating AI-enabled systems for performance, reliability, security, scalability, or operation effectiveness and recommending technical improvements
  • Applying AI governance, responsible AI, , security, privacy, or risk management during the design, development, deployment, or operation of AI solutions.
Or
CYBERSECURITY EXPERIENCE
Experience that includes one or more of the following:
  • Implementing, configuring, integrating, or supporting cybersecurity technologies, security controls, cloud security, identity management, security monitoring, or enterprise security solutions.
  • Analyzing cybersecurity threats, vulnerabilities, incidents, compliance requirements or operational risks and recommending or implementing mitigation strategies.
  • Evaluating systems, applications, cloud environments, or enterprise architectures to ensure compliance with cybersecurity requirements, security frameworks, or risk management principles.

SPECIALIZED EXPERIENCE GS-14: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes:
  • Leading or serving as the technical authority for complex IT projects, enterprise applications, cloud services, cybersecurity initiatives, systems integration efforts, or modernization programs affecting multiple organizations or business functions. Applying advanced IT principles, to evaluate requirements, resolve complex technical issues, guide architecture and design decisions, and ensure compliance with cybersecurity, privacy, accessibility, and federal requirements.
  • Leading collaboration among customers, stakeholders, users, product or business owners, and technical teams to define business or technical requirements, communicate technical impacts, and guide delivery of secure, reliable, scalable IT solutions.
  • Evaluating system, service, or application performance, availability, reliability, security controls, usability, and operational effectiveness; identifying risks, issues, defects, or gaps; and leading corrective actions or modernization efforts.
  • Analyzing competing technical approaches and providing authoritative recommendations to management, stakeholders, or IT specialists regarding enterprise architectures, technologies, cloud services, cybersecurity controls, engineering standards, or implementation strategies with organizational impact.
And
ARTIFICIAL INTELLIGENCE (AI) EXPERIENCE
Experience that includes one or more of the following:
  • Leading or providing technical direction for AI, machine learning, or Generative AI solutions supporting enterprise business operations.
  • Evaluating AI technologies, architecture, models, infrastructure or implementation strategies and recommend solutions or improvements.
  • Developing or implementing technical approaches for AI governance, security, privacy, explainability, risk management, reliability, or responsible AI practices.
Or
CYBERSECURITY EXPERIENCE
Experience that includes one or more of the following:
  • Leading technical direction for the development, implementation , assessment, or improvement of cybersecurity programs, architectures, controls or solutions within an IT environment.
  • Evaluating enterprise cybersecurity risks, threats, vulnerabilities, cloud security architectures, and technical requirements to develop or recommend risk mitigation strategies.
  • Developing enterprise cybersecurity standards, technical guidance, security architectures or engineering solutions supporting secure IT operations.

Please refer to EDUCATION for remaining Qualifications
For more information on qualifications please refer to OPM's Qualifications Standards.Education:QUALIFICATIONS CONTINUED
SPECIALIZED EXPERIENCE GS-15: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-14 grade level in Federal service. Specialized experience for this position includes:
  • Directing, overseeing, or providing strategic guidance for major IT programs, enterprise-level projects, technology modernization efforts, or high-visibility initiatives with broad organizational, agency-wide, or mission impact.
  • Applying IT principles, to evaluate requirements, resolve complex technical issues, guide architecture and design decisions, and ensure compliance with cybersecurity, privacy, accessibility, and federal requirements..
  • Collaborating with executives, senior leaders, customers, stakeholders, program or product leaders, and technical organizations to define mission needs, set priorities, and direct implementation of secure, resilient, scalable, and mission-effective IT solutions.
  • Overseeing enterprise technology governance, risk management, modernization planning, and implementation efforts across multiple organizations. Evaluating competing technical, operational, software, and strategic approaches and advising senior leadership or executive stakeholders on decisions, tradeoffs, policies, standards, governance, and resolution of IT challenges that affect mission delivery.
And
ARTIFICIAL INTELLIGENCE EXPERIENCE
Experience that includes one or more of the following:
  • Leading enterprise AI strategies or directing the design, development, integration, or implementation of Artificial Intelligence, Machine Learning, Generative AI, Natural Language Processing, or related technologies.
  • Establishing enterprise AI architectures, governance, technical standards, security requirements, or modernization strategies.
  • Advising executive leadership regarding AI strategy, responsible AI implementation, enterprise data architecture, vendor capabilities, or AI-enabled modernization initiatives.
Or
CYBERSECURITY EXPERIENCE
Experience that includes one or more of the following:
  • Providing executive-level technical leadership for enterprise cybersecurity, cloud security, Zero Trust, identity management, enterprise risk management, or infrastructure protection initiatives.
  • Developing enterprise cybersecurity architectures, modernization strategies, technical standards, or risk management frameworks.
  • Advising executive leadership regarding enterprise cybersecurity strategy, emerging threats, modernization priorities, technology investments, or government-wide cybersecurity initiatives.


    You must also meet the following requirements

  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education.

EDUCATION
A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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