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Senior Mlops Engineer Jobs in Spring, TX (NOW HIRING)

MLOps Automation Senior Lead Engineer

Houston, TX ยท On-site +1

$93K - $189K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and deploying MLOps Automation for some of Huntington's most valuable and most challenging data-driven projects.

MLOps Automation Senior Lead Engineer

Houston, TX ยท On-site +1

$99K - $130K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and deploying MLOps Automation for some of Huntington's most valuable and most challenging data-driven projects.

AWS MLOps

Houston, TX ยท On-site

$61.75 - $81.25/hr

AWS MLOps Level: Mid-career (hands-on builder, not overly senior/architect) Duration: 6+ months ... Houston, TX - hybrid Core Profile Software Engineer with strong hands-on development experience in ...

Sr AI Engineer

Houston, TX ยท On-site

$96K - $132K/yr

Role: Sr AI Engineer Location: Houston TX Project description We are seeking a highly skilled ... Deployment & MLOps * Deploy models into production using APIs, containers, or microservices * Work ...

Senior AI Engineer

Houston, TX ยท On-site

$99K - $137K/yr

Senior AI Engineer Location - Houston, TX (onsite) Responsibilities * AI/ML Model Development ... Deployment & MLOps * Deploy models into production using APIs, containers, or microservices * Work ...

Senior AI Engineer

Houston, TX ยท On-site

$99K - $137K/yr

Senior AI Engineer Location - Houston, TX (onsite) Responsibilities * AI/ML Model Development ... Deployment & MLOps * Deploy models into production using APIs, containers, or microservices * Work ...

Senior AI Engineer

Houston, TX ยท On-site

$99K - $137K/yr

Project description We are seeking a highly skilled Senior AI Engineer to design, build, and deploy ... Deployment & MLOps * Deploy models into production using APIs, containers, or microservices * Work ...

Senior AI Engineer - Houston, TX

Houston, TX ยท On-site

$117K - $154K/yr

Senior AI Engineer Location: Houston, TX Project description We are seeking a highly skilled Senior ... Deployment & MLOps * Deploy models into production using APIs, containers, or microservices * Work ...

Sr. ML Ops Engineer

Spring, TX ยท On-site

$96K - $132K/yr

Job Summary This senior level position is responsible for building and operating the platforms ... Design, develop, and support machine learning operations (MLOps) platforms and tools in support of ...

AI Security Engineer Senior Manager

Houston, TX ยท On-site

$109K - $149K/yr

... MLOps/LLMOps and DevSecOps pipelines. Drive Standards and Controls Define enterprise standards ... As a Senior Manager in AI Security Engineering, you will define and lead the firm's approach to ...

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Showing results 1-20

Senior Mlops Engineer information

See Spring, TX salary details

$52.9K

$112.6K

$163.3K

How much do senior mlops engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for senior mlops engineer in Spring, TX is $112,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $127,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior MLOps Engineer, and why are they important?

To thrive as a Senior MLOps Engineer, you need deep expertise in machine learning workflows, software engineering, and cloud infrastructure, typically supported by a degree in computer science or related fields. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and platforms such as AWS, GCP, or Azure, as well as certifications in cloud or DevOps, are highly valuable. Strong problem-solving, collaboration, and communication skills set standout professionals apart in this role. These skills and qualities are crucial to ensuring robust, scalable, and efficient deployment of machine learning models in production environments.

What is the difference between Senior Mlops Engineer vs Data Scientist?

AspectSenior Mlops EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with ML deployment toolsBachelor's/Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in productionFocus on data analysis, model development, and insights generation
Industry UsageUsed in tech, finance, healthcare for ML deploymentUsed across industries for data analysis and modeling

The main difference is that Senior Mlops Engineers specialize in deploying and maintaining machine learning models in production environments, while Data Scientists focus on developing models and analyzing data. Both roles require strong technical skills, but their day-to-day tasks and focus areas differ significantly.

What are some common challenges Senior MLOps Engineers face when deploying machine learning models to production environments?

Senior MLOps Engineers often encounter challenges such as managing model versioning, ensuring reproducibility, and scaling deployments across diverse infrastructure. Balancing the needs of data scientists for experimentation with the stability and reliability requirements of production systems can be complex. Additionally, integrating continuous integration and continuous deployment (CI/CD) pipelines for ML workflows and monitoring model performance post-deployment are ongoing responsibilities. Collaboration with data scientists, software engineers, and IT operations is crucial to address these challenges and maintain robust, efficient ML systems.

What is a Senior MLOps Engineer?

A Senior MLOps Engineer is an experienced professional who bridges the gap between data science, machine learning, and software engineering. They are responsible for designing, deploying, and maintaining scalable machine learning systems in production environments. Their role involves automating workflows, monitoring model performance, ensuring reproducibility, and managing the infrastructure needed to support machine learning operations. Senior MLOps Engineers also collaborate with data scientists, software developers, and IT teams to ensure smooth integration and continuous delivery of ML models. They play a crucial role in making machine learning solutions reliable, efficient, and scalable for business applications.
What are popular job titles related to Senior Mlops Engineer jobs in Spring, TX? For Senior Mlops Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Senior Mlops Engineer jobs in Spring, TX look for? The top searched job categories for Senior Mlops Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Senior Mlops Engineer jobs? Cities near Spring, TX with the most Senior Mlops Engineer job openings:
Infographic showing various Senior Mlops Engineer job openings in Spring, TX as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $112,622 per year, or $54.1 per hour.

MLOps Automation Senior Lead Engineer

Huntington

Houston, TX โ€ข On-site, Remote

$93K - $189K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago


Job description

Description

Summary:

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and deploying MLOps Automation for some of Huntingtonโ€™s most valuable and most challenging data-driven projects.

Duties and Responsibilities:

  • Streamline the data, analytics, and model development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them through automation.
  • Helps set the strategy and tone for MLOps Automating Engineering strategy and vision for the future.
  • Understand the current process and technical complexities of developing and deploying data pipelines and model builds and develop automation solutions to improve and extend the existing process to become an unattended delivery pipeline.
  • Collaborate closely with product development, architecture, data engineering and testing teams to understand their current build and release processes and make recommendations for improvement through the automation of various tasks.
  • Partner with cross-functional stakeholders, including development, operations, quality assurance and security, to streamline processes.
  • Develop and continuously improve automation solutions to enable teams to build and deploy quality data and code efficiently and consistently.
  • Build automated testing solutions in support of quality management objectives to reduce manual effort.
  • Build automated environment provisioning solutions in response to changes in processing demand. 
  • Build automated feedback mechanisms to monitor the performance of models in production.
  • Work closely with cross-functional stakeholders to analyze and troubleshoot complex production issues. 
  • Prepare and present design and implementation documentation to multiple stakeholders.
  • Promote automation across the data management and analytics delivery organization.
  • Perform other duties as assigned.

Basic Qualifications:

  • Bachelorโ€™s Degree (Computer Science, Business Administration, Economics or related fields) or equivalent relevant work experience
  • 10+ years of relevant automation engineering experience, of software engineering, in strategy, management consulting, or similar skillset, and of technical leadership experience with data-centric products 
  • 10+ years of experience with one or more coding languages (e.g., JavaScript, C++, Python, Java), CI/CD tools (e.g., Jenkins, Artifactory, CircleCI, Ansible), and development platforms (e.g., AWS, Azure, Docker, Kubernetes)

Preferred Qualifications:

  • Strong collaboration skills, with a demonstrated ability to work well as part of a team
  • Experience developing CI/CD workflows and tools
  • Strong automation scripting skills
  • Experience in configuration management, test-driven development, and release management.
  • Strong analytical and troubleshooting skills.
  • Experience with agile development and strong understanding of DataOps and ModelOps principles
  • Ability to investigate and analyze information, and to draw conclusions
  • Flexibility, adaptability, and desire to learn new languages and technologies
  • Strong verbal and written communication skills
  • Demonstrated ability to work independently across multiple tasks while meeting aggressive timelines
  • Strategic, intellectually curious thinker with focus on outcomes
  • Professional image with the ability to form relationships across functions
  • Ability to train more junior analysts regarding day-to-day activities, as necessary
  • Proven ability to lead cross-functional efforts
  • Willingness and ability to learn new technologies on the job
  • Financial Services background


Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. Weโ€™re combining the best of both worlds:  in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range:

Total Base Pay Range 93,000.00 - 189,000.00 USD Annual

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. โ€ฏColleagues in this position are also eligible to participate in an applicable incentive compensation plan. โ€ฏIn addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). 

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters:  Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.