Machine Learning Engineer, Specialist
Vanguard Open · verified Oct 21, 2026 At a glance
Mid-level Machine Learning Engineering role at Vanguard. Malvern · full-time · no salary stated · we estimate $142,875–$228,150 across the United States.
Vanguard has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and support data pipelines that prepare information for model development in distributed computing environments
- Help move model pipelines into production and follow the development lifecycle for those models
- Examine raw data for quality, then use business context and modeling needs to guide design changes
- Work with data science teams and internal stakeholders to shape requests into analytic approaches
- Run model-monitoring scripts, escalate alerts when needed, and resolve pipeline issues they uncover
What you bring
- At least five years of relevant experience, including three years building ETL pipelines with AWS services
- An undergraduate degree or equivalent experience, plus proficiency in Python, including PySpark and PySQL
- Knowledge of AWS and Azure cloud technologies, NoSQL databases, software engineering practices, and machine learning lifecycles
Who this fits
This mid-level role suits an engineer who can build production data pipelines and work with data science teams on model development. The job is based in Malvern and follows a hybrid working model. Visa sponsorship is unavailable.
From the employer
Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment.
Core Responsibilities
Leverages data pipeline designs and supports the development of data pipelines to support model development. Proficient with software tools that develop data pipelines in a distributed computing environment (PySprak, GlueETL).
Supports integration of model pipelines in a production environment. Develops understanding of SDLC for model production.
Reviews pipeline designs, makes data model design changes as needed. Documents and reviews design changes with data science teams.
Supports data discovery & automated ingestion for model development. Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs.
Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities.
Runs model monitoring scripts, follows process for alerts to management as needed. Addresses issues found in data pipelines from model monitoring alerts.
Participates in special projects and performs other duties as assigned.
Qualifications
Undergraduate degree or equivalent experience; a graduate degree is preferred.
Minimum of 5 years of relevant work experience.
At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).
Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.
Strong understanding of cloud technologies, including AWS and Azure, and experience with NoSQL databases.
Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.
Experience with API design and development is a plus.
Solid understanding of software engineering principles, including design patterns, testing, security, and version control.
Knowledge of Machine Learning Development Lifecycle (MDLC) best practices and protocols.
Understanding of solution architecture for building end-to-end machine learning data pipelines.
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.