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

Compunnel

ML Engineer

Westlake, TX · On-site

JOB SUMMARY The Workplace Investing AI Delivery Engineering Chapter team is looking for a Machine Learning / Gen AI engineer to design, implement, and improve technical solutions for Gen AI ...

Judge Group, Inc.

Data Scientist/ ML engineer

Irving, TX · Hybrid

$68 - $73/hr

Data Scientist / Machine Learning Engineer, GenAI We are not accepting C2C or 1099 arrangements. Location: Charlotte, NC or Irving, TX Work Model: Hybrid (3 days onsite per week) Duration: 12-month ...

New

CGI Inc.

Machine Learning Operations Engineer

Dallas, TX · On-site

$113K - $136K/yr

Machine Learning Operations Engineer Category: Software Development/ Engineering Main location: United States, Texas, Dallas Alternate Location(s): United States, Strongsville United States ...

Omni Inclusive

Machine learning - Lead

Irving, TX

Machine learning + Spark/Hive/SQL + Python, Scala, SQL PySpark, Kafka, use of scheduling tools, Devops using Jenkins Key Responsibilities * Develop and implement data pipelines and Client Pipelines ...

Varsity Tutors

Machine Learning Tutor

Plano, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Fidelity TalentSource

ML Engineer

Roanoke, TX

We are currently sourcing for a ML Engineer to work in Westlake, TX! Machine Learning / Gen AI Engineer The Role The Workplace Investing AI Delivery Engineering Chapter team is seeking a Machine ...

Varsity Tutors

Machine Learning Tutor

Grand Prairie, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Dallas, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Carrollton, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Irving, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Fort Worth, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Arlington, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Showing results 1-20

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

Machine Learning Engineer information

See Denton, TX salary details

$29.5K

$120.7K

$181.4K

How much do machine learning engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for machine learning engineer in Denton, TX is $120,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $145,300.00 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 Denton, TX? The most popular types of Machine Learning Engineer jobs in Denton, TX are:
What are popular job titles related to Machine Learning Engineer jobs in Denton, TX? For Machine Learning Engineer jobs in Denton, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Denton, TX look for? The top searched job categories for Machine Learning Engineer jobs in Denton, TX are:
What cities near Denton, TX are hiring for Machine Learning Engineer jobs? Cities near Denton, TX with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Denton, TX as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $120,735 per year, or $58 per hour.
ML Engineer

ML Engineer

Compunnel

Westlake, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

JOB SUMMARY
The Workplace Investing AI Delivery Engineering Chapter team is looking for a Machine Learning / Gen AI engineer to design, implement, and improve technical solutions for Gen AI applications. This includes RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting, and API development. The role focuses on building AWS-based Gen AI solutions.
Key Responsibilities
• Design, implement, and improve technical solutions for Gen AI applications.
• Develop solutions involving RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting, and API development.
• Build AWS-based Gen AI solutions.
• Design and develop machine learning and deep learning systems using appropriate ML algorithms and frameworks.
• Build feature engineering pipelines.
• Deploy AI models and optimize model inference.
• Develop Python-based APIs.
• Work with data to create models and perform statistical analysis.
• Train and retrain models to optimize performance.
• Run machine learning tests and experiments.
• Deploy models in Sagemaker.
• Set up EC2/EKS compute.
• Perform deep data analysis on multiple database platforms.
Required Qualifications
• 5+ years of hands-on development experience in Machine Learning Systems.
• Experience working on Gen AI solutions with Large Language Models, LangGraph, LangChain, LlamaIndex, Prompt Engineering, and Fine tuning.
• Strong programming skills in Python and Java.
• Solid experience developing Python-based APIs (FastAPI / Flask).
• Experience as a Machine Learning engineer building feature engineering pipelines, deploying AI models, and optimizing model inference.
• Experience working with security, data, and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow) and infrastructure as Code (Terraform, Python, Ansible, CFT).
• Proven work experience using AWS services for model deployment (Sagemaker) and cloud-based data hosting (Snowflake or RDS).
• Superior SQL skills.
• Bachelor's Degree or equivalent experience.
Preferred Qualifications
• Experience with search engine platforms like Apache SOLR, Elastic Search, or OpenSearch.
Certifications
• None specified.

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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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