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

PTR Global

MLOps Platform Engineer (SageMaker)

Plano, TX · On-site

$80 - $90/hr

The ideal candidate will be responsible for designing, implementing, and maintaining machine learning operations platforms to support scalable and efficient deployment of machine learning models.

Deloitte

Oracle AI Manager

Dallas, TX · On-site

Oracle Cloud certifications, including Oracle Cloud Infrastructure Architect or Oracle Machine Learning Specialist Experience with machine learning operations, continuous integration/continuous ...

Cisco

Principal Machine Learning Engineer

Dallas, TX

$291K - $369K/yr

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Geico

Director, Machine Learning Engineering

Dallas, TX · On-site

$150K - $300K/yr

Operational Excellence & Execution * Cross-Functional Influence * Talent Development & Leadership * Data-Driven Decision Making Annual Salary $150,000.00 - $300,000.00 The above annual salary range ...

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Machine Learning Operations information

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$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:
Machine Learning Operations jobs near you
Data Scientist [Multiple Positions Available]

Data Scientist [Multiple Positions Available]

JPMorgan Chase & Co

Plano, TX • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

55th of 145 rated banks

Job description

DESCRIPTION:

Duties: Design and develop machine learning solutions for security platforms. Design, develop, and deploy models to enforce least privilege access principles. Analyze model performance and implement incremental prediction improvements based on feedback. Process large datasets for exploration, standardization, cleansing, and feature engineering. Perform machine learning operations and deploy models to production for prediction services. Ensure applications meet security and compliance requirements. Implement infrastructure as code and manage infrastructure deployment for data science workloads. Identify and resolve application vulnerabilities and maintain compliance standards.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Applied Computer Science, Computer Science, Data Science, or related field plus 3 years of experience in the job offered or as Data Scientist, Software Engineer, or related occupation. The employer will alternatively accept a Bachelor's degree in Applied Computer Science, Computer Science, Data Science, or related field plus 5 years of experience in the job offered or as Data Scientist, Software Engineer, or related occupation.

Skills Required: This position requires three (3) years of experience with the following: performing data exploration, transformation, aggregation, statistical analysis, and data cleansing using Python, Jupyter Notebook, SQL, pandas, and PySpark; designing and developing data science models using Python and machine learning libraries, including Scikit-learn, TensorFlow, including PyTorch; performing data science development using AWS cloud-based tools, including S3, SageMaker, and EMR; performing machine learning operations and deploying models to production using CI/CD tools such as Jenkins and AWS services such as SageMaker; implementing infrastructure as code using Terraform to create AWS resources, including S3 and EMR; developing RESTful APIs using FastAPI or Flask to serve data science models.

Job Location: 8181 Communications Pkwy, Plano, TX 75024.

Full-Time.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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