Senior ML Engineer — Production AI & Scale

Testing Site - JPMC; Dublin; On-site; EUR 70,000 - 110,000; Full time

Job summary

JPMorgan Chase Dublin is seeking a Machine Learning Engineer to design, implement, and deploy models that align with global standards and governance. You will collaborate with ML scientists, data scientists, software engineers, and product teams to scale impactful AI solutions across the firm.

In this role you will deploy models to production, fine-tune for performance, monitor accuracy, and work across platforms such as AWS and Databricks to deliver robust data-driven capabilities for our 300k+

Qualifications

• Proficiency in Python and software engineering basics.
• Experience with ML libraries such as PyTorch, TensorFlow, or Scikit-learn.
• Data preprocessing, feature engineering, and building data pipelines.
• Familiar with distributed data processing (Spark/PySpark) and model deployment.
• Experience deploying ML models on AWS or similar platforms.

Responsibilities

• Design and implement machine learning models in collaboration with ML scientists, ensuring alignment with global technology standards and governance.
• Deploy and scale models to production environments, ensuring robustness and reliability.
• Fine-tune models for optimal performance and efficiency, addressing issues that arise.
• Collaborate with data scientists, software engineers, and product teams to integrate ML solutions into existing systems.
• Continuously monitor model performance and adjust to maintain accuracy and efficiency.

Skills

Python proficiency

Software engineering fundamentals

Data preprocessing & feature eng.

Building data pipelines

Model deployment & monitoring

Tools

PyTorch

MLflow

TensorFlow

Scikit-learn

Apache Spark / PySpark

AWS Cloud Platform

Databricks

Job description

JPMorgan Chase Dublin is seeking a Machine Learning Engineer to design, implement, and deploy models that align with global standards and governance. You will collaborate with ML scientists, data scientists, software engineers, and product teams to scale impactful AI solutions across the firm.

In this role you will deploy models to production, fine-tune for performance, monitor accuracy, and work across platforms such as AWS and Databricks to deliver robust data-driven capabilities for our 300k+