Manager, Machine Learning Engineer
Vanguard · Malvern, PA
- On site
- Full-time
- $150,000 / year
- Malvern, PA
Email the hiring manager to get a response.
Get their verified email + an intro that's ready to send.
Subject: Interested in the Manager, Machine Learning Engineer role at Vanguard
Hi Taylor — I came across the Manager, Machine Learning Engineer opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Vanguard stood out because…
✎ Personalized to your résumé after sign-up.
- ✓ Verified email of the hiring manager
- ✓ Intro email personalized to your résumé
- ✓ $9/mo = unlimited — any job link
Secure checkout · cancel anytime
Job highlights
- Lead ML engineers building and scaling AI/ML solutions.
- Partner with cross-functional teams for production-grade AI.
- Drive end-to-end solution delivery and operational excellence.
- Define ML architecture and executable engineering roadmaps.
- Ensure adherence to governance, security, and compliance.
About the role
Manager, Machine Learning Engineering
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.
Key skills/competency
- Machine Learning Engineering
- AI Solutions
- Team Leadership
- Product Development
- Data Science
- System Architecture
- Scalability
- Reliability
- Governance
- Operational Excellence
Skills & topics
- Machine Learning Manager
- AI Engineering Lead
- MLOps Manager
- Data Science Leadership
- Financial Services ML
- Vanguard Careers
- Machine Learning
- Artificial Intelligence
- Engineering Management
- Team Leadership
How to get hired
- Tailor your resume: Highlight machine learning leadership, AI solution delivery, and experience with scalability and governance.
- Showcase experience: Emphasize your track record in hiring, coaching, and leading engineering teams to deliver complex projects.
- Understand Vanguard's mission: Align your application with Vanguard's commitment to client financial well-being and transformative services.
- Prepare for hybrid work: Be ready to discuss your experience and approach to collaboration in a hybrid work environment.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Manager, Machine Learning Engineering at Vanguard?
- As a Manager, Machine Learning Engineering at Vanguard, you will lead a team in designing, building, and deploying AI/ML solutions for Financial Advisory Services. This includes partnering with cross-functional teams, driving end-to-end solution delivery, establishing engineering best practices, and ensuring adherence to governance and operational excellence standards.
- What experience is required for the Manager, Machine Learning Engineering role at Vanguard?
- The role requires a minimum of eight years of related work experience. An undergraduate degree is required, with a graduate degree preferred. Significant experience in machine learning, team leadership, and delivering production-grade AI solutions is essential.
- Does Vanguard offer visa sponsorship for the Manager, Machine Learning Engineering position?
- No, Vanguard is not offering visa sponsorship for this specific position. Candidates must be authorized to work in the location where the role is based without sponsorship.
- What is the work environment like at Vanguard for this role?
- Vanguard operates a hybrid working model, balancing flexibility with in-person collaboration. This role is part of a mission-driven and highly collaborative culture focused on client outcomes and employee development.
- How does Vanguard approach AI/ML development and deployment?
- Vanguard focuses on delivering production-grade AI capabilities with an emphasis on scalability, reliability, governance, and operational excellence. This involves robust architecture planning, end-to-end solution delivery, and continuous improvement of ML systems.
- What skills are most important for a Manager, Machine Learning Engineering at Vanguard?
- Key skills include strong leadership in hiring and talent development, expertise in machine learning and AI solution architecture, experience with cross-functional delivery, and a deep understanding of scalability, reliability, governance, and operational excellence in ML systems.
Similar roles
Open positions we recommend based on this role.