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Mlops Engineer Jobs in Texas (NOW HIRING)

Conch Technologies Inc

MLOps Engineer

Dallas, TX · On-site

MLOps Engineer Location: Grapevine, TX & Dallas, TX - (Hybrid) Duration: 6+ Months Contract Key Responsibilities MLOps Lifecycle Ownership Own the full ML lifecycle: data ingestion, model training ...

Lorven Technologies, Inc.

MLOps Engineer

Austin, TX · On-site

Hi Our client is looking for a MLOps Engineer project in Austin, TX below is the detailed requirement. Job positing Title: MLOps Engineer Location: Austin, TX Required Skills: MLOps,CI/CD pipelines ...

Lorven Technologies

MLOps Engineer

Austin, TX · On-site

Our client is looking MLOps Engineer project Austin, TX (Onsite) below is the detailed requirements. Job Title : MLOps Engineer Location : Austin, TX (Onsite) Duration : Long term * Bachelor's degree ...

DPR Construction

MLOps Engineer

Houston, TX

MLOps Engineer DPR is a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to ...

DPR Construction

MLOps Engineer

Dallas, TX

MLOps Engineer DPR is a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to ...

DPR Construction

MLOps Engineer

Austin, TX · On-site

MLOps Engineer DPR is a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to ...

USM

JB061761 - MLOps Engineer

Grapevine, TX · On-site

$80/hr

MLOps Engineer Duration: 6 months+, possible extension Rate: $80/hr+, depending on experience Description We are seeking a highly skilled MLOps Engineer to support the IRAS (Item Recognition as a ...

Apptronik

Staff MLOps Engineer

Austin, TX

JOB SUMMARY Apptronik is seeking a Staff MLOps Engineer to own the technical direction of our MLOps platform - the system of record for datasets, experiments, model artifacts, and serving paths that ...

AgileEngine

MLOps Engineer ID72409

Lewisville, TX · On-site

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

Apptronik

Staff MLOps Engineer

Austin, TX · On-site

JOB SUMMARY Apptronik is seeking a Staff MLOps Engineer to own the technical direction of our MLOps platform - the system of record for datasets, experiments, model artifacts, and serving paths that ...

AgileEngine

MLOps Engineer ID72409

Fort Worth, TX · On-site

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine

MLOps Engineer ID72409

Mckinney, TX · On-site

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine

MLOps Engineer ID72409

Addison, TX · On-site

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine

MLOps Engineer ID72409

Addison, TX · On-site

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine

MLOps Engineer ID72409

Lewisville, TX · On-site

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

AgileEngine

MLOps Engineer ID72409

Fort Worth, TX · On-site

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

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All JobsMlops Engineer JobsMlops Engineer Jobs in Texas

Mlops Engineer information

See Texas salary details

$88.4K

$138.7K

$160.9K

How much do mlops engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for mlops engineer in Texas is $138,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,234.00 and $149,503.00 per year, depending on experience, location, and employer.

What is an MLOps engineer?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What are some common challenges MLOps engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

What are the key skills and qualifications needed to thrive as an MLOps engineer, and why are they important?

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

What do you need to be a MLOps engineer?

To become a MLOps engineer, you typically need a strong background in software engineering, machine learning, and cloud platforms. Proficiency in programming languages like Python, experience with containerization tools such as Docker, and knowledge of CI/CD pipelines are essential. Certifications in cloud services and familiarity with tools like Kubernetes and ML frameworks also enhance qualifications.

Who earns more, ML engineer or MLOps engineer?

MLOps engineers typically earn slightly more than ML engineers due to their focus on deploying, maintaining, and scaling machine learning systems, which requires expertise in cloud platforms, automation, and infrastructure. Salary differences can vary based on experience, location, and company size, but MLOps roles often command higher compensation because of their specialized skill set.

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

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

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

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

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

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

What cities in Texas are hiring for Mlops Engineer jobs?

Cities in Texas with the most Mlops Engineer job openings:

Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in Texas as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $138,710 per year, or $66.7 per hour.

MLOps Engineer

Conch Technologies Inc

Dallas, TX • On-site

Contractor

Re-posted 12 days ago

Job description

Hi,
 
Greetings from Conch Technologies
 
Position: MLOps Engineer
Location: Grapevine, TX & Dallas, TX - (Hybrid)
Duration: 6+ Months Contract
 

Key Responsibilities
MLOps Lifecycle Ownership
Own the full ML lifecycle: data ingestion, model training, validation, deployment, monitoring, and retraining
Build and maintain robust model pipelines for computer vision and IRAS-based item recognition systems
Implement data and model monitoring (drift detection, performance degradation, alerting)
Refactor and productionize data science code into scalable, reusable services
 

Top Skills Details

1. Experience owning the MLOps lifecycle, from data monitoring to refactoring data science code to building a robust ML model lifecycle.
2. Python Engineering
3. CI/CD
4. Experience with MLOps-driven data science outcomes and handling ML Engineering horizontally, helping multiple products and initiatives.
5. Have strong knowledge of Machine Learning, MLOps, MLflow, Kubeflow, Python/R, SQL, Big Data, GCP, and Shell scripting.

With Regards,
 
Chanakya | Sr. IT Recruiter 
Desk: 901-313-3066
Email: chanakya@conchtech.com
LinkedIn: linkedin.com/in/bhadchan
Conch Technologies Inc | www.conchtech.com