Vanguard World
Vanguard World

9 Vanguard Machine Engineer Jobs Hiring Near You

Leads a team of Machine Learning Engineers responsible for designing, building, deploying, and ... About Vanguard At Vanguard, we don't just have a mission--we're on a mission. To work for the ...

Data Engineer, Specialist

Dallas, TX

$113K - $136K/yr

Join the fast-paced world of IT operations as a data engineer developing pipelines to establish and ... Machine Learning * Data Governance * Minimum of five years data analytics, programming, database ...

At Vanguard Personal Investor Marketing, we're on a mission to help individuals achieve financial ... world-class investment products and services. Our team plays a critical role in shaping how we ...

Vanguard World Jobs Information

What is it like to work at Vanguard?

Vanguard is known for its collaborative and client-centric culture, prioritizing teamwork and a commitment to helping investors achieve their long-term financial goals.

The company's work environment is characterized by a flat organizational structure, with a focus on open communication and a transparent decision-making process. Vanguard's mission-driven approach is reflected in its commitment to low-cost investing and providing high-quality services to its clients.

Working at Vanguard may appeal to individuals who value a dynamic and supportive work environment, opportunities for professional growth and development, and the chance to contribute to a company that has consistently ranked among the world's largest and most respected financial institutions.
Infographic showing various Machine Engineer job openings at Vanguard in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.
Manager, Machine Learning Engineer

Manager, Machine Learning Engineer

Vanguard

Dallas, TX

$101K - $133K/yr

Full-time

Posted 17 days ago


Job description

Leads a team of Machine Learning Engineers responsible for designing, building, deploying, and scaling AI/ML solutions that support Financial Advisory Services (FAS) business objectives. Partners closely with Product, Data Science, Architecture, and Technology teams to deliver production-grade AI capabilities with a strong focus on scalability, reliability, governance, and operational excellence. Drives end-to-end solution delivery from architecture planning through implementation, deployment, monitoring, and continuous improvement

Core Responsibilities

  • Provides leadership in hiring, coaching, talent development, performance management, and compensation decisions in accordance with Human Resources policies and procedures.

  • Partners with Enterprise, Solution, and Domain Architects to define AI/ML solution architectures and translate strategic initiatives into executable roadmaps, epics, and engineering workstreams.

  • Leads cross-functional delivery across Product, Data Science, Platform, and Engineering teams, driving solutions from concept through production while ensuring alignment to business objectives and enterprise standards.

  • Establishes engineering practices, reusable frameworks, and platform capabilities that improve scalability, consistency, and delivery efficiency across AI/ML initiatives.

  • Oversees the design, implementation, and evolution of data, feature, and model pipelines to support reliable and scalable AI/ML solutions.

  • Applies expertise in machine learning, statistics, optimization, and experimentation methodologies to operationalize predictive and decision-support capabilities.

  • Evaluates data quality, feature readiness, and model inputs in partnership with Data Science teams to support successful model development and deployment.

  • Drives operational excellence through automation, observability, monitoring, incident management, and continuous improvement practices for production AI/ML systems.

  • Ensures adherence to enterprise governance, security, risk, compliance, and model lifecycle management requirements.

  • Engages business and technology stakeholders to understand objectives, assess opportunities, and translate complex requirements into actionable technical solutions.

  • Supports departmental planning, prioritization, and execution of strategic objectives while balancing delivery commitments, operational needs, and organizational goals.

  • Establishes scalable operating models, support processes, and service standards that enable long-term sustainability of AI/ML products and platforms.

  • Communicates technical strategy, solution recommendations, delivery progress, and business impact to senior technology and business leaders.

  • Participates in special projects and performs other duties as assigned.

Qualifications

  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

  • Minimum of eight years related work experience.

Special Factors

Sponsorship

Vanguard is not 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.