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Llmops Jobs (NOW HIRING)

Cyber 1 Armor

Senior MLOps / LLMOps Engineer

Milpitas, CA · On-site

$119K - $163K/yr

Senior MLOps / LLMOps Engineer Location : Milpitas 4 days onsite contracts We are looking for a Senior MLOps / LLMOps Engineer to help standardize and enhance enterprise ML and GenAI deployment ...

Steampunk

LLMOps Engineer

Mclean, VA · On-site

$115K - $145K/yr

The LLMOps Engineer will work closely with AI Product Engineers, Data Scientists, and senior LLMOps staff to support the deployment, monitoring, and continuous improvement of LLM-based systems. This ...

Steampunk

LLMOps Engineer

Mclean, VA · On-site

$115K - $145K/yr

The LLMOps Engineer will work closely with AI Product Engineers, Data Scientists, and senior LLMOps staff to support the deployment, monitoring, and continuous improvement of LLM-based systems. This ...

Steampunk

LLMOps Engineer

Mclean, VA

$115K - $145K/yr

The LLMOps Engineer will work closely with AI Product Engineers, Data Scientists, and senior LLMOps staff to support the deployment, monitoring, and continuous improvement of LLM-based systems. This ...

Sedgwick

Senior Engineer - LLMOps & MLOps

Minto, AK · On-site +1

$108K - $148K/yr

LLMOps Framework Implementation: Design and execute the infrastructure for Retrieval-Augmented Generation (RAG), including vector database management (OpenSearch, Pinecone, or Azure AI Search) and ...

Sedgwick

Senior Engineer - LLMOps & MLOps

North East, PA · On-site +1

$96K - $132K/yr

LLMOps Framework Implementation: Design and execute the infrastructure for Retrieval-Augmented Generation (RAG), including vector database management (OpenSearch, Pinecone, or Azure AI Search) and ...

Sedgwick

Senior Engineer - LLMOps & MLOps

Los Angeles, CA · On-site +1

$112K - $154K/yr

LLMOps Framework Implementation: Design and execute the infrastructure for Retrieval-Augmented Generation (RAG), including vector database management (OpenSearch, Pinecone, or Azure AI Search) and ...

York Risk Services

Senior Engineer - LLMOps & MLOps

Minto, AK · On-site +1

$108K - $148K/yr

LLMOps Framework Implementation: Design and execute the infrastructure for Retrieval-Augmented Generation (RAG), including vector database management (OpenSearch, Pinecone, or Azure AI Search) and ...

SumerSports LLC

LLMOps Platform Engineer

As an ML/AI Engineer on the LLMOps Platform team, you'll build the core infrastructure that powers our AI-first product organization. You'll design, implement, and scale the systems that make it ...

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Llmops information

What jobs can I do with LLM?

With expertise in large language models (LLMs), you can pursue roles such as NLP engineer, machine learning engineer, data scientist, or AI researcher. These jobs typically require skills in programming, deep learning frameworks, and understanding of natural language processing concepts.

What engineer makes $500,000 a year?

Senior machine learning engineers, including those working in Llmops or related AI fields, can earn $500,000 or more annually, especially with extensive experience, specialized skills, and working at top tech companies or in high-demand industries. Compensation often includes base salary, bonuses, and stock options, reflecting expertise in large language models, cloud platforms, and deployment tools.

What jobs make $3,000 a day?

In the context of Llmops, high-paying roles such as AI project managers, machine learning engineers, or data science consultants can earn around $3,000 daily, especially with specialized skills, certifications, and experience in deploying large language models. These roles often require advanced technical knowledge, experience with cloud platforms, and the ability to manage complex AI operations in a fast-paced environment.

What is the difference between Llmops vs Data Scientist?

AspectLlmopsData Scientist
Required credentialsKnowledge of machine learning, AI frameworks, cloud platformsStatistics, programming, data analysis skills
Work environmentAI/ML teams, cloud environments, deployment pipelinesData analysis, modeling, reporting in various industries
Employer usageTech companies, AI startups, research labsFinance, healthcare, tech, retail

While both roles involve working with data and machine learning, Llmops focuses on deploying and maintaining large language models in production environments, requiring expertise in AI infrastructure. Data Scientists primarily analyze data, build models, and generate insights. Llmops professionals ensure models operate efficiently at scale, whereas Data Scientists develop the models and interpret results.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may include performance-based bonuses or stock options. Such salaries are rare and generally found in top tech companies or specialized AI firms.
More about Llmops jobs
What cities are hiring for Llmops jobs? Cities with the most Llmops job openings:
What states have the most Llmops jobs? States with the most job openings for Llmops jobs include:
What job categories do people searching Llmops jobs look for? The top searched job categories for Llmops jobs are:
Llmops jobs near you
Infographic showing various Llmops job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution.

Senior MLOps / LLMOps Engineer

Cyber 1 Armor

Milpitas, CA • On-site

$119K - $163K/yr

Other

Posted 18 days ago

Job description

Senior MLOps / LLMOps Engineer
Location : Milpitas 4 days onsite
contracts
We are looking for a Senior MLOps / LLMOps Engineer to help standardize and enhance enterprise ML and GenAI deployment pipelines.
Key Skills:
Strong hands-on experience with Databricks and MLflow
Experience building and maintaining MLOps/LLMOps platforms
Cloud expertise in Azure and/or Google Cloud Platform
CI/CD pipeline development and automation
Model deployment, monitoring, and lifecycle management
Kubernetes, Docker, Infrastructure as Code (Terraform preferred)
Experience supporting GenAI/LLM applications in production
Knowledge of model evaluation, observability, governance, and release management
Responsibilities:
Standardize MLOps and LLMOps workflows across teams
Build and optimize CI/CD pipelines for ML and GenAI applications
Deploy, monitor, and manage models in production environments
Establish best practices for MLflow, model governance, and operational excellence
Collaborate with data science, platform, and engineering teams

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