Machine Learning Engineer

Focus Financial Partners; United States; On-site; USD 160,000 - 180,000; Full time

Job summary

Focus Financial Partners is seeking a skilled Machine Learning Engineer with ~3 years of hands-on experience to design, deploy, and maintain production-grade ML systems. You will collaborate with data scientists, software engineers, and product teams to translate research models into reliable, scalable applications, handling data ingestion, feature engineering, deployment, monitoring, and continuous improvement.

This role can be located in St. Louis, MO; Boston, MA.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related technical field.
• 3+ years of experience in machine learning engineering or related software roles.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with distributed data processing (Pandas, Spark, Dask).
• Hands-on experience with Docker and Kubernetes.
• Familiarity with CI/CD, testing, and Git.

Responsibilities

• Develop, deploy, and optimize ML models for real-world business use cases and client-facing applications.
• Partner with data scientists to operationalize predictive models and ensure scalable, maintainable production deployments.
• Design and implement data pipelines and workflows supporting training, inference, and model lifecycle management.
• Work with large, complex datasets to ensure data quality and reproducibility across ML workflows.
• Implement model monitoring, logging, and alerting to track performance and support retraining cycles.
• Leverage cloud platforms (AWS, Azure, GCP) to build scalable ML solutions with IaC practices.
• Write clean, modular, well-documented code aligned with MLOps and software engineering best practices.
• Stay current on ML tooling and industry best practices to enhance our platform.

Skills

Python programming

ML lifecycle

Data pipelines

Cross-functional collaboration

Analytical thinking

Education

Bachelor's or Master's in CS/DS/Engineering

Tools

Docker

Kubernetes

TensorFlow

PyTorch

scikit-learn

SageMaker / Vertex AI / Databricks

Job description

Job Description Summary

We are seeking a skilled Machine Learning Engineer with approximately three years of hands‑on experience designing, deploying, and maintaining production‑grade machine learning systems. In this role, you will collaborate closely with data scientists, software engineers, and product teams to translate research models into reliable, scalable, and high-impact applications. You will be deeply involved in the end‑to‑end ML lifecycle—from data ingestion and feature engineering to deployment, monitoring, and continuous improvement—playing a critical part in shaping our machine learning platform and capabilities.

Job Description Summary

We are seeking a skilled Machine Learning Engineer with approximately three years of hands‑on experience designing, deploying, and maintaining production‑grade machine learning systems. In this role, you will collaborate closely with data scientists, software engineers, and product teams to translate research models into reliable, scalable, and high-impact applications. You will be deeply involved in the end‑to‑end ML lifecycle—from data ingestion and feature engineering to deployment, monitoring, and continuous improvement—playing a critical part in shaping our machine learning platform and capabilities.

This role can be located in St. Louis, MO; Boston, MA.

Job Description

Primary 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

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 3+ 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.
• Experience working with cloud‑based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML) is preferred.
• 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.

This position is an exempt position. The annualized base pay range for this role is expected to be between $160,000-$180,000 base salary compensation range. Actual base pay may vary based on factors including, but not limited to, experience, subject matter expertise, geographic location where work will be performed, and the applicant’s skill set. The base pay is just one component of the total compensation package. Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life insurance, and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.

Focus is a leading financial services firm comprised of integrated wealth management, family office, and business management services. Blending deep expertise and expansive resources with a boutique, client‑first fiduciary philosophy, Focus helps individuals, families, and institutions navigate complex financial situations with highly personalized solutions tailored to their unique needs. To learn more about Focus, visit www.focusfinancialpartners.com or follow the company on LinkedIn.

EEO Statement

Focus is an equal opportunity employer and bases its employment decisions on the employee or candidate’s skillset, and without regard to an employee or candidate’s race, color, religion, sex (including pregnancy), gender identity, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by local, state and/or federal law.

Focus complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact [e-mail]

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If hired, the employment relationship is governed by the Wrongful Discharge from Employment Act. Mont. Code Ann. Section 39-2-901.

For Rhode Island Applicants

Focus is subject to Chapters 29-38 of Title 28 of the General Laws of Rhode Island and is therefore covered by the state’s workers’ compensation law. If you willfully provide false information about your ability to perform the essential functions of the job, with or without reasonable accommodations, you may be barred from filing a claim under the provisions of the Workers’ Compensation Act of the State of Rhode Island if the false information is directly related to the personal injury that is the basis for the new claim for compensation. The Company complies fully with the Americans with Disabilities Act.