Senior Machine Learning Engineer, Specialist

Vanguard Group; Malvern (Chester County); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Vanguard is seeking a Senior Machine Learning Engineer to build robust ML engineering solutions supporting AI/ML model experimentation and deployment. The role focuses on scalable data pipelines, MLOps, and feature documentation, collaborating closely with data scientists to validate datasets and models.

Responsibilities include designing end-to-end ML pipelines, monitoring in production, and integrating data lineage, with a strong emphasis on cloud technologies and SageMaker.

Qualifications

• Bachelor’s degree in a relevant field; Master’s preferred.
• 8 years in data engineering or machine learning engineering.
• 3+ years building ETL pipelines with AWS.
• Proven MLOps experience for production AI/ML models.
• Proficient in Python and ML frameworks/libraries.
• Strong cloud knowledge and AWS SageMaker experience.
• Solid software engineering practices: design, test, security, version control.
• Familiarity with ML development lifecycle and end-to-end pipelines.

Responsibilities

• Design, develop, and optimize data pipelines for scalable ML workflows.
• Build and maintain robust MLOps pipelines for deployment and monitoring.
• Integrate data and model pipelines; diagnose data quality issues.
• Collaborate with data scientists to validate datasets and features.
• Conduct exploratory data analysis with business context for model development.
• Track data lineage and perform root-cause analysis during exploration.
• Translate business processes into scalable analytical solutions.
• Create and maintain model monitoring scripts and respond to alerts.
• Serve as ML engineering subject matter expert on cross-functional teams.
• Stay current with AI/ML advances and assess applicability.

Skills

Python

MLOps

ETL pipelines

AWS SageMaker

Data engineering

Cloud technologies

MDLC knowledge

End-to-end ML pipelines

Software engineering basics

Education

Bachelor’s degree

Master’s degree preferred

Tools

SageMaker

Python tooling

Job description

In Vanguard’s Corporate Services department, we’re looking for a Senior Machine Learning Engineer to help us build best-in-class ML engineering solutions that support experimentation and deployment of AI/ML models.

The ideal candidate will have hands‑on experience designing and implementing robust machine learning engineering and data pipelines for complex, business‑critical AI/ML workflows. This role offers the opportunity to work on high‑impact initiatives that drive innovation across the enterprise.

Core Responsibilities

• Design, develop, and optimize complex data pipelines using machine learning engineering best practices to ensure scalability, efficiency, and reliability.


• Develop and implement robust MLOps pipelineto support the deployment, monitoring, and lifecycle management of AI/ML models in production environments.


• Integrate and maintain data and model pipelines, proactively diagnosing data quality issues and documenting assumptions.


• Collaborate closely with data scientists to validate model‑ready datasets and ensure thorough, accurate feature documentation.


• Conduct exploratory data analysis and discovery on raw data sources, incorporating business context to support model development.


• Track data lineage and perform root‑cause analysis during early‑stage exploration or issue resolution.


• Partner with internal stakeholders to understand business processes and translate them into scalable analytical solutions.


• Develop and maintain model monitoring scripts, investigate alerts, and coordinate timely resolutions.


• Act as a subject matter expert in machine learning engineering on cross‑functional teams, contributing to high‑impact initiatives.


• Stay current with advancements in AI/ML and evaluate their applicability to business challenges.

Qualifications:

• Bachelor’s degree in a relevant field required; Master’s degree preferred.


• 8 years of relevant experience in data engineering or machine learning engineering.


• Minimum 3 years of hands‑on experience building ETL pipelines using AWS services


• Proven experience developing and implementing MLOps pipelinefor deploying, monitoring, and managing AI/ML models in production.


• Proficient in Python and familiar with key machine learning frameworks and libraries.


• Strong understanding of cloud technologies and AI/ML platforms like AWS SageMaker.


• Solid grasp of software engineering principles, including design patterns, testing, security, and version control.


• Knowledge of the Machine Learning Development Lifecycle (MDLC) and best practices.


• Experience designing and implementing end-to‑end machine learning pipelines and solution architectures.

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don’t just have a mission-we’re on a mission.

To work for the long‑term financial wellbeing of our clients. To lead through product and services that transform our clients’ lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in‑person learning, collaboration, and connection. We believe our mission‑driven and highly collaborative culture is a critical enabler to support long‑term client outcomes and enrich the employee experience.