ZipRecruiter

Log In

1

Databricks Machine Learning Jobs (NOW HIRING)

ECS

Sr. Databricks Consultant

Fairfax, VA · On-site +1

$175K - $250K/yr

Leveraging tools such as Delta Lake, MLflow, and Databricks Machine Learning, the Data Scientist will play a crucial role in enabling clients to maximize performance, scalability, and value from ...

Guidehouse

Databricks Data Scientist

Develop, train, and evaluate machine learning and statistical models to support business and missionneeds using the Databricks platform. * Prepare, clean, andmaintaindatasets for modeling ...

Guidehouse

Databricks Data Scientist

Develop, train, and evaluate machine learning and statistical models to support business and mission needs using the Databricks platform. * Prepare, clean, and maintain datasets for modeling ...

ECS

Sr. Databricks Consultant - Public Trust

Fairfax, VA · On-site +1

$175K - $250K/yr

Leveraging tools such as Delta Lake, MLflow, and Databricks Machine Learning, the Data Scientist will play a crucial role in enabling clients to maximize performance, scalability, and value from ...

ECS

Sr. Databricks Consultant - TS/SCI-FSP

Fairfax, VA · On-site

$175K - $250K/yr

Leveraging tools such as Delta Lake, MLflow, and Databricks Machine Learning, the Data Scientist will play a crucial role in enabling clients to maximize performance, scalability, and value from ...

ECS

Sr. Databricks Consultant - TS/SCI-CI Poly

Fairfax, VA · On-site

$175K - $250K/yr

Leveraging tools such as Delta Lake, MLflow, and Databricks Machine Learning, the Data Scientist will play a crucial role in enabling clients to maximize performance, scalability, and value from ...

Scicom Infrastructure Services, Inc.

Databricks SME

Atlanta, GA · On-site

$62.25 - $81.75/hr

Databricks Machine Learning Professional * Snowflake or other cloud data platform certifications Soft Skills * Strong architectural decision-making and documentation skills * Excellent communication ...

Scicom Infrastructure Services

Databricks SME

Atlanta, GA · Remote

$66.25 - $87/hr

Databricks Machine Learning Professional * Snowflake or other cloud data platform certifications Soft Skills * Strong architectural decision-making and documentation skills * Excellent communication ...

Diamondback Energy, Inc.

$150 - $200/hr

The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Working primarily within the Databricks ecosystem, the ML Developer will define how models are ...

Scicominfra

Databricks SME

Atlanta, GA · On-site

$200 - $250/hr

Databricks Machine Learning Professional * Snowflake or other cloud data platform certifications Soft Skills * Strong architectural decision-making and documentation skills * Excellent communication ...

Diamondbackenergy

Machine Learning Developer

Dallas, TX · On-site

The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Working primarily within the Databricks ecosystem, the ML Developer will define how models are ...

Diamondback E&P LLC

Machine Learning Developer

Dallas, TX · On-site

$150 - $200/hr

The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Working primarily within the Databricks ecosystem, the ML Developer will define how models are ...

next page

Showing results 1-20

All JobsTechnology JobsData JobsData Scientist JobsDatabricks Machine Learning Jobs

Databricks Machine Learning information

See salary details

$13

$22

$31

How much do databricks machine learning jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for databricks machine learning in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What is Databricks Machine Learning?

Databricks Machine Learning is a cloud-based platform that provides a collaborative environment for building, training, and deploying machine learning models at scale. It integrates with Apache Spark and offers tools for managing the entire machine learning lifecycle, from data preparation to model deployment. The platform supports popular ML frameworks like TensorFlow, PyTorch, and scikit-learn, and includes features such as automated machine learning (AutoML), experiment tracking, and model management. Databricks Machine Learning is designed to help teams accelerate the development and operationalization of machine learning solutions.

What are the key skills and qualifications needed to thrive as a Databricks Machine Learning engineer?

To thrive as a Databricks Machine Learning Engineer, you need a solid background in machine learning, data science, and programming (especially Python or Scala), typically supported by a relevant degree and experience in big data environments. Proficiency with Databricks, Apache Spark, MLflow, and cloud platforms like AWS or Azure is essential, and certifications such as Databricks Certified Machine Learning Professional are highly valued. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and translate business requirements into technical solutions. These skills ensure you can build, deploy, and manage scalable ML models that drive valuable business insights and outcomes.

What are some common challenges faced by professionals working with Databricks Machine Learning, and how can they be addressed?

Professionals in Databricks Machine Learning often encounter challenges such as managing large-scale data efficiently, ensuring data quality, and optimizing distributed machine learning workflows. Collaboration with data engineers and DevOps teams is essential to streamline data pipelines and maintain model reproducibility. Leveraging Databricks' built-in version control, automated ML features, and scalable cluster management can help mitigate these challenges. Staying up-to-date with platform updates and best practices also contributes to smoother project execution.

What is the difference between Databricks Machine Learning vs Data Scientist?

AspectDatabricks Machine LearningData Scientist
CredentialsExperience with cloud platforms, data engineering, ML frameworksDegree in CS, statistics, or related fields; often with certifications
Work EnvironmentCollaborates with data engineers, data scientists on cloud-based platformsAnalyzes data, builds models, often in research or business settings
Tools & SkillsDatabricks platform, Spark, MLflow, Python, SQLPython, R, SQL, statistical analysis, visualization tools

While Databricks Machine Learning focuses on deploying scalable ML models using the Databricks platform, Data Scientists primarily analyze data and develop models, often using various tools and environments. Both roles collaborate closely but differ in technical focus and responsibilities.

Are Databricks good for machine learning?

Databricks Machine Learning is a popular platform for developing and deploying machine learning models, offering integrated tools for data processing, model training, and collaboration. It supports scalable cloud-based environments and integrates with frameworks like TensorFlow and PyTorch, making it suitable for data scientists and ML engineers. Its collaborative workspace and automation features help streamline the machine learning lifecycle.

Does Databricks Machine Learning hire remote employees?

Databricks Machine Learning roles can be remote, depending on the position and company policies. Many companies in the tech industry, including those offering machine learning roles, support remote work arrangements, especially for roles involving cloud platforms and data science tools. Candidates should review specific job postings for location requirements and remote work options.

What are popular job titles related to Databricks Machine Learning jobs?

For Databricks Machine Learning jobs, the most frequently searched job titles are:

Infographic showing various Databricks Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.

Azure Databricks Machine Learning Engineer

New York, NY • On-site

Stellent IT LLC
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Stellent IT LLCexternal

Other

Re-posted 17 days ago

Job description

Databricks Certificate is required.

ROLE: Azure Databricks Machine Learning Engineer

LOCATION: Hybrid in NYC

LinkedIn is must. Locals only.

Job Description

We are looking for an experienced Azure Databricks ML Engineer with a strong background in machine learning model deployment. The ideal candidate will have at least 7 years of experience and be proficient in PySpark, Python, and SQL. A solid understanding of statistical analysis is a plus. Applies engineering disciplines to cloud computing and brings a systematic approach to concerns of commercialization, standardization, and governance of cloud computing applications. Leverages the methods and tools of engineering in conceiving, developing, operating and maintaining cloud computing systems and solutions. Uses the economics of cloud resources to solve business problems.

Key Responsibilities:

  • Design, develop, and deploy machine learning models using Azure Databricks.
  • Implement and manage Azure Databricks ML Flow for tracking and managing ML experiments.
  • Apply ML Ops best practices to ensure robust and scalable model deployment.
  • Deploy and manage Large Language Models (LLMs) and Generative AI (GenAI) models on Databricks.
  • Collaborate with data scientists and engineers to integrate ML models into production environments.
  • Optimize and maintain existing ML models to ensure high performance and scalability.
  • Utilize PySpark, Python, and SQL for data processing and analysis.
  • Conduct statistical analysis to support data-driven decision-making.
  • Troubleshoot and resolve issues related to ML model deployment and performance.
  • Stay up-to-date with the latest advancements in machine learning and cloud technologies.

Qualifications:

  • 7+ years of experience in ML model deployment using Azure Databricks.
  • Proficiency in PySpark, Python, and SQL.
  • Experience with Azure Databricks ML Flow and ML Ops best practices.
  • Experience with deploying and managing LLMs and GenAI models on Databricks.
  • Experience with statistical analysis is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.
  • Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred)

Technical Skills

  • 3+ years of experience with creating stored procedures in SQL
  • Azure Databricks
  • Azure Databricks machine learning certificate
  • Bayesian Machine Learning
  • Machine Learning Operations
  • pandas
  • PySpark
  • Quantitative Statistical Analysis

Shubham Singh- Sr. Technical Recruiter

Email- shubham@stellentit.com

STELLENT IT A Nationally Recognized Minority Certified Enterprise

"Happiness can be found, even in the darkest of times, if one only remembers to turn on the light."
- JK Rowling

Stellent IT logo

About Stellent IT

Sourced by ZipRecruiter

Stellent IT, based in St Augustine, Florida, USA, is a renowned company in the IT sector whose primary focus is providing top-tier IT consulting and staffing services. Stellent IT's expertise lies not just in fulfilling IT staffing needs but in offering comprehensive technological solutions that enhance and drive business performance. Despite the limited information about their founding history, the company has earned a name for itself in the IT industry due to its commitment to quality and consistent delivery. With a mission centered around helping businesses efficiently navigate the IT landscape by providing strategic technology-inspired solutions, Stellent IT prides itself as a leader in its field.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

St Augustine, FL, US

Social media

Facebook

View All Stellent IT Jobs