Senior AI/ML Engineer - Malvern - Vanguard Group

    Vanguard Group
    Vanguard Group Malvern

    6 days ago

    Description
    Responsibilities
    • Architect and implement scalable, efficient, and reliable data and ML pipelines using best practices in machine learning engineering.
    • Build and maintain MLOps frameworks to support model deployment, monitoring, and lifecycle management in production environments.
    • Ensure data integrity, proactively identifying and resolving quality issues across data and model pipelines.
    • Collaborate with data scientists, solution architects, product managers, and Agile leads to align on technical direction and keep stakeholders informed.
    • Conduct exploratory data analysis and integrate business context to inform modeling strategies.
    • Track data lineage and perform root cause analysis during early-stage exploration or issue resolution.
    • Translate business requirements into scalable AI/ML solutions in partnership with internal stakeholders.
    • Implement and maintain model monitoring, including data and model drift detection, alerting, and resolution workflows.
    • Design and execute A/B testing, backtesting, and other validation strategies to assess model performance and business impact.
    • Anticipate ambiguity in data, requirements, or business context and devise creative, scalable solutions to address them.
    • Serve as a technical expert in machine learning engineering on cross-functional teams.
    • Stay current with advancements in AI/ML and assess their relevance to business challenges.
    Qualifications
    • Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).
    • 8+ years of experience across machine learning engineering, data engineering, and MLOps implementation, including:
      • Designing and deploying production-grade ML systems.
      • Building scalable data pipelines and ML workflows.
      • Managing model lifecycle in cloud environments.
    • Proficient in Python and familiar with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
    • Strong understanding of cloud platforms, especially AWS SageMaker.
    • Experience with CI/CD, containerization (e.g., Docker), and orchestration tools (e.g., Kubernetes).
    • Solid grasp of software engineering principles including testing, version control (e.g., Git), and security.
    • Familiarity with the Machine Learning Development Lifecycle (MDLC) and best practices for reproducibility and scalability.
    • Strong communication and collaboration skills, with experience working across technical and business teams.
    • Ability to anticipate ambiguity and devise scalable solutions to address it.
    Nice to Have
    • Experience with Databricks for scalable data and ML workflows.
    • Familiarity with Feature Store concepts and implementation.
    • Exposure to real-time prediction systems and streaming data architectures.
    • Knowledge of data governance, model explainability, and responsible AI practices.
    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.
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