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Mlflow Jobs in Virginia (NOW HIRING)

Databricks

As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you ...

Frontier Technology Inc.

AI/ML Engineer

Chesapeake, VA · On-site +1

Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration). * Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site

$140K - $150K/yr

Create scalable and reusable training pipelines using Databricks notebooks and MLflow. Implementation and Optimisation * LLMs (Large Language Models), RAGs, and AI agent systems for various business ...

BTree Solutions, Inc.

AI ENGINEER

Reston, VA · On-site

Experience with MLOps tools (e.g., MLflow, Kubeflow). * Knowledge of big data technologies (Spark, Hadoop, Databricks). * Background in NLP, computer vision, or other advanced AI techniques.

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Create scalable and reusable training pipelines using Databricks notebooks and MLflow. Implementation and Optimisation * LLMs (Large Language Models), RAGs, and AI agent systems for various business ...

Axiom Path

Lead AI Engineer 3624294

Richmond, VA · On-site +1

$180K - $200K/yr

Develop production-ready AI/ML solutions on a Databricks Lakehouse platform using Python, Spark, MLflow, Delta Lake, and related tools. * Build scalable feature pipelines, training workflows ...

Bespoke Labs

Data Engineer

Norfolk, VA · On-site

$110K - $133K/yr

... MLflow, W&B, or similar) Comfortable with Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Tech Tammina LLC

MLOps Platform Engineer

Reston, VA · On-site

... as MLflow, or similar. · Experience supporting GPU-based workloads or distributed training environments. · Familiarity with enterprise MLOps architectures and patterns (batch, real-time ...

Bespoke Labs

Data Engineer

Lynchburg, VA · On-site

$111K - $133K/yr

... MLflow, W&B, or similar) Comfortable with Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Williamsburg, VA · On-site

$104K - $125K/yr

... MLflow, W&B, or similar) Comfortable with Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Tech Tammina

MLOps Platform Engineer

Reston, VA · On-site

Preferred Qualifications • Experience managing Data Analytics Platforms / Tools (e.g., Domino, SageMaker) • Experience with ML lifecycle tools such as MLflow, or similar. • Experience ...

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Mlflow information

Is ML a high paying job?

Machine Learning (ML) roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of ML frameworks like TensorFlow or PyTorch. Salaries vary based on experience, location, and company size but tend to be above average compared to many other tech positions.

What companies use MLflow?

Many organizations across industries use MLflow for managing machine learning workflows, including companies like Databricks, Microsoft, and Amazon. These companies leverage MLflow's capabilities for experiment tracking, model deployment, and reproducibility in their AI and data science projects.

Is MLflow still popular?

MLflow remains a widely used open-source platform for managing the machine learning lifecycle, including experiment tracking, model versioning, and deployment. Its popularity is supported by its integration with major ML frameworks and cloud services, making it a valuable skill for data scientists and ML engineers. The demand for expertise in MLflow continues to grow as organizations adopt MLOps practices.

Which 5 jobs will survive AI?

Jobs involving MLflow, such as data scientists, machine learning engineers, AI researchers, data engineers, and MLops specialists, are likely to persist as AI advances because they require specialized skills in developing, deploying, and managing AI models. These roles demand expertise in programming, data handling, and understanding complex algorithms, making them less susceptible to automation. Continuous learning and proficiency with tools like MLflow can enhance job security in these fields.

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 are popular job titles related to Mlflow jobs in Virginia? For Mlflow jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Mlflow jobs in Virginia look for? The top searched job categories for Mlflow jobs in Virginia are:
What cities in Virginia are hiring for Mlflow jobs? Cities in Virginia with the most Mlflow job openings:
Mlflow jobs near you
Infographic showing various Mlflow job openings in Virginia as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Machine Learning Engineer - LLM / MLOps

HRC Global Services

Reston, VA • On-site

Full-time

Re-posted 16 days ago

Job description

Machine Learning Engineer – LLM / MLOps

Job Title: Machine Learning Engineer – LLM & MLOps
Location: Remote (U.S.)
Employment Type: Full-Time

About the Opportunity:
An exciting role for an ML Engineer to build scalable ML systems, deploy models, and work with cutting-edge AI technologies including LLMs and RAG architectures.

Key Responsibilities:

  • Build, train, and deploy ML models at scale
  • Develop reusable pipelines using Databricks and MLflow
  • Implement CI/CD workflows for ML deployment
  • Work with LLMs, RAG, and AI agent frameworks
  • Monitor model performance, drift, and retraining cycles

Required Skills:

  • 5+ years of ML Engineering experience
  • Strong Python programming and ML frameworks (PyTorch, TensorFlow, Scikit-learn)
  • Hands-on experience with Databricks, MLflow, PySpark
  • Experience with AWS (S3, SageMaker, Lambda, etc.)
  • Strong understanding of MLOps and model lifecycle

Preferred:

  • Experience building AI-driven applications (Streamlit, Gradio)
  • Strong system design and data pipeline experience
  • Business understanding of AI applications

Clearance: Public Trust (or eligible)

Hashtags:
#MLEngineer #MachineLearning #MLOps #LLM #AWS #Databricks #PySpark #AIEngineering #RemoteJobs #HiringNow