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Machine Learning Operations Mlops Jobs (NOW HIRING)

CGI Inc.

Machine Learning Operations Engineer

Dallas, TX · On-site

$113K - $136K/yr

Machine Learning Operations Engineer Category: Software Development/ Engineering Main location ... We are seeking an experienced MLOps Engineer with strong expertise in Python and big data ...

Apple

Machine Learning (MLOps) Engineer

Cupertino, CA

$216K - $324K/yr

As an MLOps Engineer, you will be the backbone of our machine learning infrastructure, ensuring ... You will bridge the gap between data science and engineering, driving operational excellence across ...

CGI

Machine Learning Operations Engineer

Dallas, TX · On-site

$113K - $136K/yr

We are seeking an experienced MLOps Engineer with strong expertise in Python and big data ... Big Data,Analytics&Operations * Hadoop Hive * Machine Learning * Pandas * Python What you can ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

Bachelor's Degree in Computer Science, Statistics, Data Mining, Machine Learning, Operations ... Familiarity with MLOps practices including model versioning, CI/CD pipelines, and experiment ...

HCA Healthcare

Staff MLOps Engineer

Franklin, TN · On-site

... Machine Learning Operations (MLOps) platform. This role combines deep cloud architecture expertise with advanced AI/ML knowledge to develop solutions that streamline workflows, enable seamless ...

New

HCA Healthcare

Staff MLOps Engineer

Nashville, TN · On-site

... Machine Learning Operations (MLOps) platform. This role combines deep cloud architecture expertise with advanced AI/ML knowledge to develop solutions that streamline workflows, enable seamless ...

New

HCA Healthcare

Staff MLOps Engineer

Murfreesboro, TN · On-site

... Machine Learning Operations (MLOps) platform. This role combines deep cloud architecture expertise with advanced AI/ML knowledge to develop solutions that streamline workflows, enable seamless ...

New

Expand Energy

Sr. ML Ops Engineer

Spring, TX · On-site

$93K - $127K/yr

... support machine learning operations (MLOps) platforms and tools in support of data science activities • Implement and maintain automated pipelines supporting the development, deployment, and ...

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Machine Learning Operations Mlops information

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How much do machine learning operations mlops jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for machine learning operations mlops in the United States is $39.89, according to ZipRecruiter salary data. Most workers in this role earn between $33.41 and $42.31 per hour, depending on experience, location, and employer.

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

AspectMachine Learning Operations (MLOps)Data Scientist
Primary FocusDeploying, monitoring, and maintaining ML models in productionDeveloping and analyzing data models, insights, and algorithms
Required SkillsMachine learning, DevOps, cloud platforms, automationStatistics, data analysis, programming, machine learning
Work EnvironmentProduction environments, cloud infrastructure, cross-functional teamsResearch, data analysis, model development in labs or offices
CertificationsCloud certifications, ML certifications, DevOps toolsData science certifications, programming skills, statistical expertise

While both roles involve machine learning, MLOps focuses on deploying and maintaining models in production environments, ensuring scalability and reliability. Data scientists primarily develop models and analyze data to generate insights. Understanding these differences helps organizations assign the right talent for each stage of the ML lifecycle.

More about Machine Learning Operations Mlops jobs
What job categories do people searching Machine Learning Operations Mlops jobs look for? The top searched job categories for Machine Learning Operations Mlops jobs are:
Machine Learning Operations Mlops jobs near you
Infographic showing various Machine Learning Operations Mlops job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $82,973 per year, or $39.9 per hour.
AI ML with Security Clearance

AI ML with Security Clearance

MasterPeace Solutions, Ltd.

Columbia, MD • On-site

$57.75 - $77.25/hr

Other

Re-posted 6 days ago

Job description

Seeking a motivated AI/ML Engineer to support the exciting Corporate Discovery Services mission. The AI/ML Engineer will act as the critical bridge between data science and software engineering mission capturing requirements from stakeholders to deliver robust, scalable, and functional innovative prototypes and deploy solutions. Job Responsibilities/Qualifications: Mission Focus: Use Machine Learning Operations (MLOps) set of practices to automate and standardize the lifecycle of machine learning models, from development and training to deployment and monitoring, borrowing principles from DevOps to ensure reliable, efficient, and scalable ML systems in production. Create Machine Learning, Generative AI Large Language Models (LLM), Retrieval Augmented Generation (RAG), and Agentic AI AI/ML pipelines. Technical Proficiency: Proficiency in Python with TensorFlow, PyTorch, Scikit-learn, Keras, PySpark, vLLM, and NVIDIA CUDA (Compute Unified Device Architecture) libraries. Strong grasp of version control (GitLab), Continuous Integration/Continuous Deployment (GitLab CI/CD), and containerization (Docker, Kubernetes). Required Qualifications: Bachelor's degree plus 11-years of relevant experience or equivalent. Desirable Skills: MLOps
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