VanguardManager, Machine Learning Engineer
Vanguard is hiring a Manager, Machine Learning Engineer. Level rates it ; you can apply on Vanguard.
Level's read on this job
- On Level's scale, this machine learning engineer role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions visa sponsorship.
- The posting mentions machine learning, mlops and team management among its tools and skills.
- Level classes it as a lead role.
- Vanguard has 334 other open roles on Level.
AI in this role
Lead a team of machine learning engineers building and scaling enterprise AI/ML solutions and platforms.
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.
How we rate this
Manager, Machine Learning Engineer at Vanguard rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in machine learning engineer jobs at this level
Pay
- Typical machine learning engineer job
- $197k
This posting doesn't list pay. Use the typical machine learning engineer figure when pay comes up. See machine learning engineer jobs
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where mlops was part of your work. What did you do?
- Tell me about a project where team management was part of your work. What did you do?
- Tell me about a project where ai architecture was part of your work. What did you do?
- Tell me about a project where python was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Machine learning, MLOps, Team Management, AI Architecture, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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