> Markdown version of [/jobs/ext/2711870-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2711870-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer

- **Company:** Vanguard
- **Location:** Malvern, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Continuous Integration, Data Cleansing, Information Engineering, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Software Deployment, Software Engineering, Strategies of Testing, Feature Engineering, Pytorch, Model Validation, Pandas, Event Driven Architecture, Scikit Learn, Data Lineage, Machine Learning Operations, Cloud Optimization, Software Version Control
- **Published:** September 4, 2026
- **Apply:** https://www.themuse.com/jobs/vanguard/senior-machine-learning-engineer-cab713

## About the Role

* Minimum of eight years related work experience, with at least three years of development experience.
 * Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
 * Experience in software engineering, machine learning engineering, data engineering, or a related technical discipline.
 * Strong experience building and deploying machine learning solutions in production environments.
 * Expertise in Python and modern data science libraries (Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow, or similar).
 * Hands-on experience with AWS services, including SageMaker
 * Experience building and maintaining machine learning pipelines, feature engineering workflows, and model deployment processes.
 * Knowledge of MLOps practices, including CI/CD, model versioning, experiment tracking, monitoring, and automated retraining.
 * Strong understanding of software development lifecycle practices, testing strategies, and production support.
 * Ability to work effectively with researchers, data scientists, and business stakeholders to deliver business outcomes.

## Description

* Design, build, and maintain end-to-end machine learning pipelines from research through production deployment.
 * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.
 * Develop and maintain feature engineering, feature storage, and data preparation pipelines.
 * Automate model deployment, testing, validation, and release processes using CI/CD practices.
 * Build batch, real-time, and event-driven architectures.
 * Implement model monitoring for performance, drift detection, data quality, and operational health.
 * Partner with quantitative researchers and data scientists to productionalize research models.
 * Manage model versioning, lineage tracking, experiment management, and reproducibility.
 * Optimize model performance, scalability, reliability, and cloud cost efficiency.
 * Establish engineering standards, testing frameworks, and governance controls for ML solutions.
 * Support production operations, incident response, and continuous improvement of deployed models.


## Related Videos

- [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript)
- [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops)
- [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c)
- [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)