Mlops Engineer Jobs in Texas
Mlops Engineer jobs in Texas are in active demand, with strong hiring concentrated in cloud infrastructure, energy tech, and enterprise software sectors and openings at every level from junior through staff and principal. Austin, Dallas, and Houston are the primary hiring centers, where companies like Dell Technologies, AT&T, and ExxonMobil have established engineering teams building and maintaining production ML systems. The most sought-after specialties in Texas right now are model deployment pipelines, feature store architecture, and LLMOps for generative AI workloads. Find a role that fits below and apply directly.
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INTRODUCTION
Magnit Direct Sourcing on behalf of Toyota is currently hiring an MLOps Platform Engineer (Sagemaker) for a temporary assignment in Plano, Texas. This is a 12-month contract. The pay range for this role is between $70.00 - $80.00/Hr. Benefits: Medical, Dental, Vision, 401K.
This position is with Enterprise Analytical Data & Integration Team, and the hiring manager is looking to onboard MLOps Platform Engineer (Sagemaker) who is expert in Sagemaker (key skillset) and AWS.
BASIC QUALIFICATIONS
- 10-15 years of software engineering experience focused on cloud infrastructure or ML platform operations
- 5+ years hands-on with AWS, including deep expertise in Amazon SageMaker (Studio Classic Studio, Pipelines, Model Registry, Endpoints, Feature Store)
- 3+ years building and operating production MLOps pipelines — training, versioning, deployment, monitoring, rollback
- Experience with SageMaker Unified Studio or Studio Classic — domain/project setup, blueprints, multi-tenant configuration
- MLflow or equivalent experiment tracking
- SageMaker Pipelines or similar workflow orchestration (Airflow, Step Functions)
- Unified Studio is preferred to have but Classic is must have
PREFERRED QUALIFICATIONS
Who We Are:
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to Dream. Do. Grow. with us.
What We're Looking For:
Toyota Financial Services Enterprise Platforms team is looking for a Senior ML Platform Engineer to design, build, and operationalize an enterprise ML platform on AWS SageMaker Unified Studio. You will migrate the organization from a fragmented ML toolchain to a unified, governed platform on AWS Landing Zone 2, covering the full ML lifecycle from data discovery through model deployment and monitoring.
WHAT YOU'LL BE DOING
- Set up SageMaker Unified Studio platform — domain configuration, project provisioning, persona-based roles, and multi-environment (Dev, Prod-UAT, Prod) promotion workflows
- Build MLOps pipelines using SageMaker Pipelines — data extraction from Snowflake, preprocessing, training, evaluation, and model registration
- Manage SageMaker Model Registry — cross-account model promotion, versioning, immutability, and lineage tracking
- Configure MLflow experiment tracking — auto-logging of parameters, metrics, and artifacts
- Set up identity and access management — Okta SSO, SailPoint entitlements, persona-based execution roles, service roles for pipelines
- Build model serving — real-time SageMaker endpoints and batch prediction workflows
- Set up model monitoring — data drift, model drift, performance degradation detection
- Configure data catalog — searchable datasets, access-level visibility, access-request workflows, lineage
- Own platform operations — observability (CloudWatch, Datadog), logging, custom images, instance availability
Talented, dedicated people are an integral part of our mission to build the best workforce, working together to create the future of mobility and make the world a better place. We are always on the lookout for diverse, driven, and collaborative talent interested in performing contract work for Toyota.
Click here to join our talent network and be the first in line when a new contingent job opportunity opens at Toyota through Magnit Direct Sourcing.
Magnit is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
QUALIFICATION/LICENSURE
Work Authorization: Green Card, US Citizen
Preferred years of experience: 0 years
Travel required: No travel required
Shift timings: 9 AM to 5 PM
INTRODUCTION
Magnit Direct Sourcing on behalf of Toyota is currently hiring an MLOps Platform Engineer (Sagemaker) for a temporary assignment in Plano, Texas. This is a 12-month contract. The pay range for this role is between $70.00 - $80.00/Hr. Benefits: Medical, Dental, Vision, 401K.
This position is with Enterprise Analytical Data & Integration Team, and the hiring manager is looking to onboard MLOps Platform Engineer (Sagemaker) who is expert in Sagemaker (key skillset) and AWS.
BASIC QUALIFICATIONS
- 10-15 years of software engineering experience focused on cloud infrastructure or ML platform operations
- 5+ years hands-on with AWS, including deep expertise in Amazon SageMaker (Studio Classic Studio, Pipelines, Model Registry, Endpoints, Feature Store)
- 3+ years building and operating production MLOps pipelines — training, versioning, deployment, monitoring, rollback
- Experience with SageMaker Unified Studio or Studio Classic — domain/project setup, blueprints, multi-tenant configuration
- MLflow or equivalent experiment tracking
- SageMaker Pipelines or similar workflow orchestration (Airflow, Step Functions)
- Unified Studio is preferred to have but Classic is must have
PREFERRED QUALIFICATIONS
Who We Are:
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to Dream. Do. Grow. with us.
What We're Looking For:
Toyota Financial Services Enterprise Platforms team is looking for a Senior ML Platform Engineer to design, build, and operationalize an enterprise ML platform on AWS SageMaker Unified Studio. You will migrate the organization from a fragmented ML toolchain to a unified, governed platform on AWS Landing Zone 2, covering the full ML lifecycle from data discovery through model deployment and monitoring.
WHAT YOU'LL BE DOING
- Set up SageMaker Unified Studio platform — domain configuration, project provisioning, persona-based roles, and multi-environment (Dev, Prod-UAT, Prod) promotion workflows
- Build MLOps pipelines using SageMaker Pipelines — data extraction from Snowflake, preprocessing, training, evaluation, and model registration
- Manage SageMaker Model Registry — cross-account model promotion, versioning, immutability, and lineage tracking
- Configure MLflow experiment tracking — auto-logging of parameters, metrics, and artifacts
- Set up identity and access management — Okta SSO, SailPoint entitlements, persona-based execution roles, service roles for pipelines
- Build model serving — real-time SageMaker endpoints and batch prediction workflows
- Set up model monitoring — data drift, model drift, performance degradation detection
- Configure data catalog — searchable datasets, access-level visibility, access-request workflows, lineage
- Own platform operations — observability (CloudWatch, Datadog), logging, custom images, instance availability
Talented, dedicated people are an integral part of our mission to build the best workforce, working together to create the future of mobility and make the world a better place. We are always on the lookout for diverse, driven, and collaborative talent interested in performing contract work for Toyota.
Click here to join our talent network and be the first in line when a new contingent job opportunity opens at Toyota through Magnit Direct Sourcing.
Magnit is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
QUALIFICATION/LICENSURE
Work Authorization: Green Card, US Citizen
Preferred years of experience: 0 years
Travel required: No travel required
Shift timings: 9 AM to 5 PM
See All 27 Mlops Engineer Jobs in Texas
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Find Mlops Engineer JobsMlops Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Mlops Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Alvarez & Marsal4
- LTIMindtree4
- Photon3
- ExxonMobil2
- Humana2
Top Industries Hiring
- Technology & Software12
- Consulting & Professional Services5
- Energy4
- Artificial Intelligence1
- Banking & Financial Services1
What Texas Employers Look For
The qualifications that appear most often in mlops engineer jobs across Texas.
- Bachelor's degree in computer science, data engineering, or a closely related technical field
- Hands-on experience with ML pipeline tools such as Kubeflow, MLflow, or Apache Airflow
- Proficiency with cloud platforms including AWS SageMaker, Azure ML, or Google Vertex AI
- Strong Python skills and familiarity with containerization using Docker and Kubernetes
- Experience monitoring model performance and managing CI/CD workflows for ML systems
- Knowledge of data versioning tools and feature stores such as DVC, Feast, or Tecton
Mlops Engineer Jobs in Texas: Frequently Asked Questions
How do you become a mlops engineer in Texas?
There is no state-issued license required to work as a mlops engineer in Texas. Most Texas employers expect a bachelor's degree in computer science, data engineering, or a related field alongside demonstrable experience building and operating ML pipelines. Earning vendor certifications from AWS, Google Cloud, or Microsoft Azure strengthens a candidacy considerably in the Texas market, where cloud-native infrastructure is the standard. Building a portfolio of deployed model projects and contributing to open-source MLOps tooling is the practical path most Texas hiring managers recognize.
Which companies hire mlops engineers in Texas?
Employers hiring mlops engineers in Texas right now include Alvarez & Marsal, LTIMindtree, and Photon, based on current listings on Migrate Mate as of June 2026. Texas's blend of large enterprise technology firms, energy companies adopting predictive analytics, and a growing Austin startup scene means steady openings at a variety of company sizes and stages.
Which Texas cities have the most mlops engineer jobs?
Dallas, Irving, and Houston have the most mlops engineer openings in Texas. Austin's dense concentration of tech company offices and headquarters drives the bulk of postings, while Dallas and Houston contribute through large financial services, telecommunications, and energy firms that have built significant data and AI engineering teams in those metros.
Are there remote mlops engineer jobs in Texas?
Yes, and more than most fields. About 15% of mlops engineer openings tied to Texas are remote or hybrid as of June 2026, which reflects how naturally the role fits distributed work. The parts of the role most commonly offered fully remote are pipeline development, model monitoring, and infrastructure-as-code work, while on-call production support roles more often require hybrid arrangements.
How can I get hired as a mlops engineer in Texas with little or no experience?
The most realistic entry path is moving laterally from a data engineering, software engineering, or DevOps role, since those backgrounds map directly to the infrastructure and automation skills Texas employers value in junior mlops engineers. Large Texas-based employers like Dell Technologies and Texas Instruments run associate and rotational engineering programs where candidates without dedicated MLOps experience can cross-train. Building and publicly sharing an end-to-end project that trains, versions, deploys, and monitors a model is the portfolio signal that most Texas hiring managers treat as equivalent to a year of on-the-job experience.
Where can I find and apply to mlops engineer jobs in Texas?
You can find and apply to mlops engineer jobs in Texas on Migrate Mate, which lists current Texas openings from employers actively hiring right now. Search the listings, find roles that fit your background and location, and apply directly to the ones that match.
See All 27 Mlops Engineer Jobs in Texas
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