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Mlflow Jobs in California (NOW HIRING)

Senior MLOps / LLMOps Engineer

Milpitas, CA · On-site

$119K - $163K/yr

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 ...

MLflow * Databricks Jobs & Workflows * Strong programming skills in Python (pandas, numpy, scikit‑learn). * Experience working with large-scale data processing . Solid understanding of machine ...

Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI. * Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure)

Concord, California Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) Develop and maintain ML pipelines using tools like MLflow, Kubeflow ...

Senior DevOps Engineer

Rocklin, CA · On-site

$135K - $174K/yr

This role will also contribute to the implementation of AI-based solutions within on-premises environments , with a focus on model serving, MLflow tracking, and automated deployment pipelines. Key ...

MLflow, Azure ML, Dataiku, model registry, CI/CD, GitHub Actions * Data Platforms: Snowflake, Azure SQL, Oracle, data lakes, cloud data platforms * AI/GenAI: LLMs, prompt engineering, RAG, semantic ...

AI/ML Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

Deploy ML models into production using MLflow, Databricks Workflows, or other MLOps pipelines. * Build analytics solutions such as forecasting, anomaly detection, segmentation, or recommendation ...

ML Ops Engineer

El Segundo, CA · On-site

$120 - $150/hr

Maintain and improve the MLflow-based experiment tracking and model registry infrastructure. * Establish conventions for experiment logging, artifact storage, model metadata, and lineage tracking.

Senior ML Ops Engineer

El Segundo, CA · On-site

$150K - $240K/yr

MLflow registry, conventions for artifacts and metadata, and dataset versioning so training runs are reproducible. * Monitoring and drift. Drift, prediction quality, and degradation alerting on ...

MLflow registry, conventions for artifacts and metadata, and dataset versioning so training runs are reproducible. * Monitoring and drift. Drift, prediction quality, and degradation alerting on ...

Senior ML Ops Engineer

El Segundo, CA · On-site

$150K - $240K/yr

MLflow registry, conventions for artifacts and metadata, and dataset versioning so training runs are reproducible. * Monitoring and drift. Drift, prediction quality, and degradation alerting on ...

Build the pipelines, data products, and experimentation on Databricks/MLflow that take work from prototype to production - and partner with the engineers deploying our AI in the field to harden what ...

Build the pipelines, data products, and experimentation on Databricks/MLflow that take work from prototype to production - and partner with the engineers deploying our AI in the field to harden what ...

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Mlflow information

What is the difference between Mlflow vs Data Scientist?

AspectMlflowData Scientist
Required CredentialsKnowledge of machine learning tools, Python, and data managementDegree in Data Science, Statistics, or related field; programming skills
Work EnvironmentData science teams, machine learning projects, software developmentResearch, data analysis, model development, cross-functional teams
Employer & Industry UsageTech companies, AI startups, data-driven organizationsVarious industries including tech, finance, healthcare, and retail

While Mlflow is a platform for managing the machine learning lifecycle, a Data Scientist focuses on analyzing data and building models. Mlflow tools support Data Scientists in tracking experiments, but the roles differ in scope and responsibilities.

What cities in California are hiring for Mlflow jobs?

Cities in California with the most Mlflow job openings:

Infographic showing various Mlflow job openings in California as of August 2026, with employment types broken down into 60% Full Time, 20% Temporary, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Senior MLOps / LLMOps Engineer

Cyber 1 Armor

Milpitas, CA • On-site

$119K - $163K/yr

Other

Re-posted 6 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