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Machine Language Jobs in Texas (NOW HIRING)

English language preferred. * High school diploma or equivalent. * Previous experience as a machine operator in a food manufacturing or packaging environment is a plus. Physical Requirements: While ...

Machine Operator

Cedar Hill, TX

$14.75 - $17.50/hr

Responsible for all activities associated with safely operating machine, including, setup ... LANGUAGE SKILLS * Able to read and follow instructions on factory masters. MATHEMATICAL SKILLS

Diverse Lynx LLC is seeking a Machine Learning Engineer with extensive experience in software ... Practical experience with Large Language Models (LLMs): API integration| prompt engineering| fine ...

Fab Machine Operator

Houston, TX · On-site

$18 - $19/hr

The Fab Machine Operator follows safety protocols, inspects finished products for quality, and ... Must have a basic command of the English language, both written and verbal. Working & Environmental ...

Fab Machine Operator

Houston, TX · On-site

$18 - $19/hr

The Fab Machine Operator follows safety protocols, inspects finished products for quality, and ... Must have a basic command of the English language, both written and verbal. Working & Environmental ...

Machine Operator - 2nd Shift

Fort Worth, TX · On-site

$15.75 - $18.75/hr

Cross-train on other machines. * Complete necessary reports in an accurate and timely manner ... LANGUAGE SKILLS Able to read and follow instructions on factory masters. MATHEMATICAL SKILLS * Able ...

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Machine Language information

See Texas salary details

$8

$36

$69

How much do machine language jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for machine language in Texas is $36.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.85 and $51.37 per hour, depending on experience, location, and employer.

What is the difference between Machine Language vs Data Scientist?

AspectMachine LanguageData Scientist
Required CredentialsNone specific; basic programming knowledgeBachelor's or higher in CS, statistics, or related fields
Work EnvironmentLow-level programming, embedded systems, hardware interactionData analysis, modeling, visualization in offices or labs
Industry UsageSoftware development, embedded systems, hardware programmingTech, finance, healthcare, marketing

Machine Language involves low-level programming directly with binary instructions, primarily used for hardware interaction. Data Scientists analyze data to extract insights, often using high-level languages like Python or R. While both roles require programming skills, Machine Language focuses on hardware-level coding, whereas Data Scientists work with data analysis and modeling.

What engineers make $500,000?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and strong programming knowledge can earn $500,000 or more annually, especially in high-demand industries like tech and finance. Achieving this level often requires advanced degrees, certifications, and leadership roles within organizations.

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 a strong background in mathematics, statistics, programming (especially Python), and a relevant degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools, as well as certifications in data science or machine learning, are highly valuable. Problem-solving skills, curiosity, and effective collaboration are crucial soft skills for innovating and working in multidisciplinary teams. These abilities are essential to design, implement, and optimize models that drive data-driven decision-making and business success.

What are some common challenges faced by professionals working with machine learning models, and how can they be addressed?

Professionals in machine learning often encounter challenges such as managing large and complex datasets, addressing data quality issues, and preventing model overfitting. Collaborating effectively with data engineers and domain experts can help ensure data relevance and accuracy. Additionally, staying updated with the latest research and best practices is important for optimizing model performance and adapting to evolving business needs. Regular code reviews and model validation are key practices that help maintain high-quality, reliable machine learning solutions.

Can I learn ML in 3 months?

Machine Learning (ML) is a complex field that typically requires several months to years of study to gain proficiency, especially for roles involving data analysis, model development, and deployment. While intensive bootcamps or self-study can provide foundational knowledge in 3 months, becoming job-ready usually involves ongoing learning, practical projects, and familiarity with tools like Python, TensorFlow, or scikit-learn.

What is machine language and what does a machine language programmer do?

Machine language is the lowest-level programming language, consisting of binary code that computers can directly execute. A machine language programmer writes instructions in this binary code to control computer hardware at the most fundamental level. This job often involves optimizing code for performance and working closely with computer architecture. Machine language programming is rare today, as higher-level languages are more commonly used, but it remains crucial for certain applications like embedded systems and hardware drivers.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills in machine learning, deep learning, and data science. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

Is ML a high paying job?

Machine learning (ML) roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and company size, but experienced ML engineers often earn above average salaries compared to other tech roles.
Infographic showing various Machine Language job openings in Texas as of June 2026, with employment types broken down into 80% Full Time, 12% Part Time, 7% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $76,337 per year, or $36.7 per hour.
Machine Operator - 1st Shift

Machine Operator - 1st Shift

Van's Kitchen

Dallas, TX

$18/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Description
The Packing Machine Operator, plays a critical role in our food manufacturing process by operating and maintaining packing machinery to ensure the efficient and accurate packaging of our products. You will be responsible for inspecting packaging materials, setting up and adjusting machines, monitoring production, and ensuring the quality and safety of the packaged food products.

Key Responsibilities
Essential Job Duties & Responsibilities:
  • Set up and operate packing machinery in accordance with standard operating procedures.
  • Ensure machines are loaded with the correct packaging materials and product ingredients.
  • Monitor machine operations to maintain product consistency and quality.
  • Adjust machine settings as necessary to meet production requirements.
  • Conduct regular checks on the packaging process to ensure product quality and packaging accuracy.
  • Inspect packaging materials for defects and report any issues.
  • Address and resolve any machine malfunctions promptly to minimize downtime.
  • Adhere to all safety protocols and guidelines to ensure a safe working environment.
  • Use personal protective equipment (PPE) as required.
  • Report any safety hazards or incidents immediately.
  • Maintain accurate production records, including batch numbers, packaging quantities, and machine settings.
  • Complete required documentation and reports.
  • Perform routine cleaning and sanitation of packing machines and work area.
  • Conduct preventive maintenance on machines to ensure their reliability and longevity.
  • Work closely with other team members, including machine technicians, quality control inspectors, and supervisors, to achieve production goals.

Skills, Knowledge and Expertise
  • Familiarity with packing machines and their operation.
  • Strong attention to detail and quality control.
  • Mechanical aptitude and the ability to troubleshoot minor machine issues.
  • Good communication skills and the ability to work effectively in a team.
  • Knowledge of safety protocols and procedures.
  • Physical stamina to stand for extended periods and lift moderately heavy objects.
  • Competent or skilled with automatic bowl sealing machines, cartoners such as ADCO’s, auto load cartoners and flow wrap equipment
Work Environment & Physical Requirements
  • Must be able to stand, walk, kneel and bend for virtually entire shift.  
  • Occasionally required to balance or climb.
  • Frequently lift and/or move up to 30 pounds.
  • Frequent exposure to production environments with moderate noise, cold/hot temperatures, and wet or humid conditions.
Required Qualifications & Experience:
  • English language preferred.
  • High school diploma or equivalent.
  • Previous experience as a machine operator in a food manufacturing or packaging environment is a plus.

Physical Requirements:
While performing the responsibilities of this job, the employee must be able to access all equipment of the workstation and other areas as needed. Frequent lifting, bending and twisting. Lifting up to 30 lbs. required to complete daily tasks.


Work Environment:
Packing Operators work in a fast-paced and sometimes noisy production environment. The work may involve standing for extended periods, bending, lifting, and repetitive tasks. Van’s Kitchen is a food manufacturing environment. You will be working in warm and cold conditions, in wet and dry environments with potentially dangerous equipment. Safety is our number one priority. 

Benefits & EEOC
 Benefits
  • Competitive salary and performance-based bonuses.
  • Health, dental, and vision insurance.
  • Company paid disability and life insurance.
  • Retirement savings plan with company match.
  • Paid time off and holidays.
  • Opportunities for professional growth and development.
EEOC
Vans Kitchen is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

This policy applies to all employment practices within our organization, including but not limited to hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Vans Kitchen makes hiring decisions based solely on qualifications, merit, and business needs at the time.