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Machine Learning Operations Jobs in Allen, TX (NOW HIRING)

Dallas, TX Summary The Staff Data Engineer, MLOps leads the design, build, and optimization of Hershey's machine learning operations platform-enabling data science and AI teams to develop, deploy ...

Dallas, TX Summary The Staff Data Engineer, MLOps leads the design, build, and optimization of Hershey's machine learning operations platform-enabling data science and AI teams to develop, deploy ...

Data Engineer

Irving, TX ยท On-site +1

$114K - $144K/yr

Machine learning operations, including model versioning, model and data lineage, and model deployment, scalability and orchestration; Designing data models and solutions for analytical and reporting ...

Sr. Data Engineer

Irving, TX ยท On-site +1

$114K - $185K/yr

Machine learning operations, including model versioning, model and data lineage, and model deployment, scalability and orchestration; Designing data models and solutions for analytical and reporting ...

Sr. Engineer, AI & ML

Dallas, TX ยท On-site

$103K - $142K/yr

The Senior Engineer in the Data Science and Machine Learning Engineering team at CarMax will be ... Experience in DevOps practices, testing frameworks, and CI/CD * Excellent communication skills ...

AI Solutions Architect

Dallas, TX ยท On-site

$62.25 - $82/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... We innovate and deliver creative, industry-specific solutions that streamline operations and ...

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Machine Learning Operations information

See Allen, TX salary details

$20

$37

$57

How much do machine learning operations jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for machine learning operations in Allen, TX is $37.11, according to ZipRecruiter salary data. Most workers in this role earn between $31.06 and $39.38 per hour, depending on experience, location, and employer.

Is ML a high paying job?

Machine Learning Operations (MLOps) roles are generally well-paid due to the specialized skills required, such as expertise in cloud platforms, programming, and data management. Salaries tend to be higher than average tech roles and can increase with experience, certifications, and knowledge of tools like TensorFlow or Kubernetes.

What is the difference between Machine Learning Operations vs Data Scientist?

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

What engineer makes $500,000 a year?

Senior machine learning operations engineers with extensive experience, advanced skills in automation, cloud platforms, and deployment pipelines can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such roles often require expertise in tools like Kubernetes, Docker, and cloud services, along with strong problem-solving and leadership abilities.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data science. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and highly competitive, often found in large tech companies or innovative startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and overseeing complex models. AI may automate some routine aspects, but MLEs' expertise in data engineering, model optimization, and deployment remains critical for effective AI solutions.
What cities near Allen, TX are hiring for Machine Learning Operations jobs? Cities near Allen, TX with the most Machine Learning Operations job openings:
Enterprise Architect, Data & AI

Enterprise Architect, Data & AI

Kforce Technology Staffing

Plano, TX โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking an Enterprise Architect, Data & AI in Plano, TX.
The Opportunity:
The Enterprise Architect will bring strong cross-domain expertise, strategic thinking, and executive presence. This is not just a governance-focused role-you will serve as a strategic leader, facilitator, and trusted advisor who can influence senior stakeholders while remaining closely involved in execution.
In this individual contributor role, you will operate in a fast-paced, mid-sized, and highly collaborative environment. You will partner across business and technology teams to drive enterprise-wide architecture initiatives that enable scalable data and AI modernization.
Responsibilities:
* Drive enterprise architecture strategy across multiple business domains, ensuring alignment with overall organizational objectives
* Lead discussions with senior stakeholders, simplifying complex technical concepts and guiding decision-making
* Establish and standardize metadata practices across domains, enabling improved data discoverability, lineage, and governance
* Design and evolve enterprise semantic data models, including logical and conceptual models, ontologies, and domain definitions
* Collaborate with product, engineering, data, and AI teams to ensure data supports reporting, analytics, and AI-driven use cases
* Contribute to the development and improvement of next-generation AI capabilities and models
* Apply knowledge of machine learning operations (MLOps) to support deployment, management, and monitoring of AI solutions in production
* Actively participate in solution design and delivery with hands-on involvement, beyond governance activities
* Review and validate AI-generated outputs (e.g., code) for quality, accuracy, and efficiency
* Stay current with industry trends in data, AI, and enterprise architecture to inform strategic direction
REQUIREMENTS:
* Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience
* 15+ years of experience in information technology
5+ years of experience in:
* Enterprise Architecture roles
* AI and machine learning architectures
2+ years of experience in:
* Data-focused AI tools and platforms
* Leading enterprise architecture initiatives
* Experience with enterprise metadata and data management tools (e.g., data cataloging, lineage, or modeling platforms)
* Strong experience with cloud-based data and AI services, particularly within a major public cloud platform
* Background supporting organizations within highly regulated or complex industry environments
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.