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Manager Mlops Engineer Jobs in Addison, TX (NOW HIRING)

Data Engineer/MLOps

Irving, TX · On-site

$106K - $127K/yr

Syntricate Technologies is seeking a Data Engineer with expertise in MLOps. The role involves ... management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of ...

Data Engineer with MLOps

Irving, TX · On-site

$106K - $127K/yr

Syntricate Technologies is seeking a Data Engineer with MLOps expertise based in Irving, TX. The ... management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of ...

MLOps Automation Engineer Lead

Dallas, TX · On-site

$101K - $133K/yr

... an outstanding MLOps Automation Engineer Lead to join our team. At Huntington, this is an ... Build automated testing solutions in support of quality management objectives to reduce manual ...

... an outstanding MLOps Automation Engineer Lead to join our team. At Huntington, this is an ... Build automated testing solutions in support of quality management objectives to reduce manual ...

... an outstanding MLOps Automation Engineer Lead to join our team. At Huntington, this is an ... Build automated testing solutions in support of quality management objectives to reduce manual ...

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Work with AWS and SageMaker MLOps ecosystem. Requirements * 6+ years of experience in software ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Work with AWS and SageMaker MLOps ecosystem. Requirements * 6+ years of experience in software ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Work with AWS and SageMaker MLOps ecosystem. Requirements * 6+ years of experience in software ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Work with AWS and SageMaker MLOps ecosystem. Requirements * 6+ years of experience in software ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Work with AWS and SageMaker MLOps ecosystem. Requirements * 6+ years of experience in software ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Work with AWS and SageMaker MLOps ecosystem. Requirements * 6+ years of experience in software ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Work with AWS and SageMaker MLOps ecosystem. Requirements * 6+ years of experience in software ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

Machine Learning Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Work with AWS and SageMaker MLOps ecosystem. Requirements * 6+ years of experience in software ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

Showing results 21-40

Manager Mlops Engineer information

See Addison, TX salary details

$12

$54

$78

How much do manager mlops engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for manager mlops engineer in Addison, TX is $54.20, according to ZipRecruiter salary data. Most workers in this role earn between $38.85 and $72.12 per hour, depending on experience, location, and employer.

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

AspectManager Mlops EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with MLOps toolsDegree in Data Science, Statistics, or related; proficiency in programming and analytics
Work EnvironmentCollaborates with engineering and operations teams to deploy ML modelsAnalyzes data, builds models, and interprets results for business insights
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsCommon across tech, marketing, research for data analysis and modeling

The Manager Mlops Engineer focuses on deploying and maintaining machine learning models in production environments, overseeing MLOps pipelines. In contrast, Data Scientists primarily analyze data and develop models for insights. Both roles require technical skills but differ in their focus on deployment versus analysis.

What are popular job titles related to Manager Mlops Engineer jobs in Addison, TX?

For Manager Mlops Engineer jobs in Addison, TX, the most frequently searched job titles are:

What job categories do people searching Manager Mlops Engineer jobs in Addison, TX look for?

The top searched job categories for Manager Mlops Engineer jobs in Addison, TX are:

What cities near Addison, TX are hiring for Manager Mlops Engineer jobs?

Cities near Addison, TX with the most Manager Mlops Engineer job openings:

Infographic showing various Manager Mlops Engineer job openings in Addison, TX as of June 2026, with employment types broken down into 2% Internship, 49% Full Time, 8% Part Time, 38% Contract, and 3% Nights. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $112,743 per year, or $54.2 per hour.

MLOps Automation Senior Lead Engineer

Dallas, TX • On-site, Remote

Huntington
Banking and Credit Intermediation • 10K+ employees

$93K - $189K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 2 days ago


Key responsibilities

  • Lead a team to build and deploy MLOps automation solutions for data-driven projects.

  • Develop automation solutions to improve and extend data pipelines and model deployment processes.

  • Collaborate with cross-functional teams to automate build, release, testing, environment provisioning, and performance monitoring tasks.


Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 174 frontline employees who took The Breakroom Quiz


Job description

Description

Summary:

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.

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:

  • Bachelor’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. We’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.  Colleagues in this position are also eligible to participate in an applicable incentive compensation plan.  In 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.


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