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# Senior Machine Learning Engineer - Remote-Ireland *

- **Company:** Solventum Corporation
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Unit Testing, Big Data, Code Reuse, Continuous Integration, Apache Hadoop, Machine Learning, Software Systems, Data Processing, Data Ingestion, Large Language Models, Apache Spark, Deep Learning, Agentic-AI, Git, Information Technology, Machine Learning Operations, Software Version Control, Docker
- **Published:** November 13, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pyw00d3mlw

## About the Role

* Master's degree or PhD in computer science, mathematics, OR related fields or Bachelor's degree with at least 5 years of experience, * Experience creating engineering solutions that support an AI / ML model's lifecycle including data ingestion, training, evaluation, and deployment
 * Familiarity with a cloud provider, preferably AWS
 * Proficiency in large-scale data processing technologies, such as Hadoop and Spark
 * Hands-on experience with scalable model deployment, e.g., using Docker and Kubernetes
 * Capability of providing maintainable and reusable code including source control with Git, unit and integration testing and a solid knowledge of CI/CD concepts

Additional qualifications that could help you succeed even further in this role include:

 * Solid understanding of Machine Learning methods
 * Familiarity with the integration of LLMs and Agentic AI into real-world software solutions, for example via MCP
 * Demonstrated ability of working in interdisciplinary environments

Work location: Remote-Ireland - candidates must be based in Ireland full time, with an expectation to be available to attend the Solventum HQ in Dublin, for onboarding, training, and 1-day per month team meetings.

Work type: Remote

Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

## Description

* Collaborating cross-functionally with domain experts, data scientists, and stakeholders to translate business requirements to technical requirements
 * Implementing automated pipelines for data processing and the training, evaluation and deployment of deep learning or LLM models including Agentic AI
 * Designing scalable infrastructure for model training and inference, both in the cloud and on-premises
 * Setting up monitoring to enable the implementation proactive countermeasures for model degradation
 * Enabling data privacy and compliance with healthcare regulations such as GDPR and HIPAA during model development and deployment