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62 Databricks Machine Learning Engineer Jobs Hiring Near You

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Leverage Databricks and Apache Spark for large-scale data processing and model development.

Spyglass Partners

Machine Learning Engineer

CT · Remote

Machine Learning Engineer * 100% Remote * Must have extensive experience with; * Python and either ... Working knowledge of Snowflake, Big Query, Databricks or other large scale data management ...

Machina Labs

Machine Learning Engineer

Chatsworth, ON

CA$160K - CA$190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Leverage Databricks and Apache Spark for large-scale data processing and model development.

Parsons Corporation

AI/ML Engineer

Aberdeen, MD · On-site

... Databricks Machine Learning Professional, or equivalent certification preferred. • Generative AI, LLM, or MLOps certifications preferred. Company : Parsons is an engineering, construction ...

BDO Canada

Senior Machine Learning Engineer

Ottawa, ON

CA$84K - CA$128K/yr

Design and implement end-to-end MLOps pipelines using Databricks, MLflow, and related tools ... Advanced programming skills in Python, with practical experience using popular machine learning ...

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What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.
What other companies are hiring for Machine Learning Engineer jobs?
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Infographic showing various Machine Learning Engineer job openings at Databricks in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 93% Physical, and 7% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Focus Financial Partners

Manhattan, NY • On-site

Full-time

Posted 22 days ago

Key responsibilities

  • Develop, deploy, and optimize machine learning models for business use cases and client-facing applications.

  • Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.

  • Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles.

Job description

Job Summary:
Focus Financial Partners is a leading financial services firm that blends deep expertise with a client-first fiduciary philosophy. They are seeking a skilled Machine Learning Engineer to design, deploy, and maintain production-grade machine learning systems, collaborating with cross-functional teams to create scalable applications.
Responsibilities:
• Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications.
• Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments.
• Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.
• Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows.
• Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles.
• Leverage cloud platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and infrastructure-as-code practices.
• Write clean, modular, and well-documented code aligned with MLOps and software engineering best practices.
• Stay current on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities.
Qualifications:
Required:
• Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 6+ years of experience in machine learning engineering, applied ML, or related software engineering roles.
• Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask).
• Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines, testing automation, and version control using Git.
• Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts.
• Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.
Preferred:
• Experience working with cloud-based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML).
Company:
Focus Financial Partners is a partnership of fiduciary wealth management firms that offers support and access to capital for growth. Founded in 2006, the company is headquartered in New York, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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