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Ml Engineer Jobs in Texas (NOW HIRING)

AgreeYa Solutions

ML Engineer

Plano, TX · On-site

Title- ML Engineer Location- Plano, TX Fully Onsite (LOCALS ONLY) Type- Contract- C2C Works Duration- 18+ months. Mode of Interview- F2F This role is ML Engineering with hands-on Software Engineering ...

New

ConnectedX, Inc.

ML Engineer

Plano, TX · On-site

ML Engineer Location: Remote -ML Engineer Job Summary We are seeking a talented AI/ML Engineer to design, develop, deploy, and maintain machine learning models and AI-powered applications. The ideal ...

Catalyst Labs

ML Engineer

Houston, TX · On-site

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

Catalyst Labs

ML Engineer

Dallas, TX · On-site

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

Catalyst Labs

ML Engineer

Austin, TX · On-site

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

Catalyst Labs

ML Engineer

Fort Worth, TX · On-site

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, while collaborating with cross-functional teams to drive innovation in AI applications. Responsibilities ...

Catalyst Labs

ML Engineer

San Antonio, TX · On-site

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

Catalyst Labs

ML Engineer

Austin, TX · On-site

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...

Lorven Technologies

AI/ML Engineer

Round Rock, TX · On-site

AI/ML Engineer Location: Round Rock, TX Duration: Contract(onsite) Job Summary We are looking for an experienced AI/ML Engineer to design, develop, and deploy machine learning and artificial ...

Posted today

Promantus, Inc

ML Engineer

Plano, TX · On-site

$110K - $132K/yr

This role is ML Engineering with hands-on Software Engineering skills using Python and Pyspark, Databricks. * Strong Python, Databricks and PySpark experience with Spark, Kafka, Snowflake, MongoDB ...

New

OMS MEDICAL BILLING LLC

AI/ML Engineer

Addison, TX · Hybrid

AI/ML Engineer (Python) Location: Addison, TX | On-site, 5 days/week Type: Full-time About the Role We are seeking a hands-on AI/ML Engineer to define how AI is built, evaluated, and operated across ...

Ruri Software Technologies LLC

ML Engineer

Irving, TX · On-site

Job Title: ML Engineer Work Location: Irving,TX (Hybrid) Duration: 8+ Months * Development and Implement data pipelines and ML pipelines to facilitate model inference (both Real-time and batch)

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

AI/ML Engineer Location: Dallas, TX, United States Job Type: Full-Time Experience: 0-3 years Work Authorization: OPT, H-1B, , or other valid US work authorization Job Summary We are seeking a ...

New

Nastech Global

AI/ML Engineer

Irving, TX · On-site

AI/ML Engineer Location: Irving, TX(Onsite) Job Type: Full Time Job Title: Data Engineer -ML We are looking for a highly skilled and passionate Data Engineer with strong Python/PySpark experience and ...

Texas Instruments

AI/ML Engineer

Richardson, TX · On-site

Texas Instruments is looking for a Sr. AI/ML engineer who is experienced with developing and deploying AI/ML solutions at scale. This role is critical to accelerating our digital transformation ...

Essilor

Data & ML Engineer

Dallas, TX

$113K - $136K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

Johnson Controls

Ai/ML Engineer

Dallas, TX · On-site

$85K - $107K/yr

How you will do it ML Platform Engineering & MLOps (Azure-Focused) * Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation.

EssilorLuxottica

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

Johnson Controls, Inc.

Ai/ML Engineer

Dallas, TX · On-site

$85K - $107K/yr

How you will do it ML Platform Engineering & MLOps (Azure-Focused) * Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation.

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All JobsMl Engineer JobsMl Engineer Jobs in Texas

Ml Engineer information

See Texas salary details

$30.7K

$83.1K

$132.3K

How much do ml engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for ml engineer in Texas is $83,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $101,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often find opportunities in tech, finance, healthcare, and other sectors investing in AI solutions.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

What are the most commonly searched types of Ml Engineer jobs in Texas?

The most popular types of Ml Engineer jobs in Texas are:

What are popular job titles related to Ml Engineer jobs in Texas?

For Ml Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Ml Engineer jobs in Texas look for?

The top searched job categories for Ml Engineer jobs in Texas are:

What cities in Texas are hiring for Ml Engineer jobs?

Cities in Texas with the most Ml Engineer job openings:

Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $83,088 per year, or $39.9 per hour.

ML Engineer

AgreeYa Solutions

Plano, TX • On-site

Other

Posted 2 days ago

New

Job description

Title- ML Engineer
Location- Plano, TX Fully Onsite (LOCALS ONLY)
Type- Contract- C2C Works
Duration- 18+ months.
Mode of Interview- F2F

Job Description:
This role is ML Engineering with hands-on Software Engineering skills using Python and Pyspark, Databricks.
Strong Python, Databricks and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL, Redis, Azure cloud.
Advanced No-SQL (MongoDB) and SQL (Postgres) and data modeling for slowly changing dimensions / temporal mappings. Experience building production-grade ML pipelines, and data pipelines.
Solid Python development skills with APIs development (FastAPIs) and familiarity with ML workflows.
Delta Lake, MLflow, and workflow orchestration experience.
Agentic development and GenAI experience will be a big plus
Familiarity with ELK (Elastic Kibana)
The candidate must have classical ML/DS exposure with production pipeline design and development experience.

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