Senior Machine Learning Engineer - Dublin, Ireland (m/f/x)*

SOLVENTUM; Dublin; Hybrid; EUR 90,000 - 150,000; Full time

Job summary

Solventum in Dublin, Ireland is seeking a Senior Machine Learning Engineer to join a team delivering healthcare AI solutions. You will translate business needs into scalable ML systems and collaborate across data science, engineering, and product teams.

You will own end-to-end ML workflows—from data ingestion to model deployment—leveraging AWS, Hadoop/Spark, Docker and Kubernetes, while ensuring data privacy and regulatory compliance in healthcare contexts.

Qualifications

• 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.
• Solid understanding of Machine Learning methods (bonus).
• Familiarity with the integration of LLMs and Agentic AI into real-world software solutions (bonus).
• Demonstrated ability of working in interdisciplinary environments (bonus).

Responsibilities

• Collaborate cross-functionally to translate business requirements to technical requirements.
• Implement automated data pipelines and training/evaluation/deployment of deep learning or LLM models.
• Design scalable infrastructure for model training and inference in cloud and on-premises.
• Set up monitoring and proactive countermeasures for model degradation.
• Ensure data privacy and regulatory compliance (GDPR/HIPAA) during development and deployment.

Skills

ML lifecycle

AWS

Hadoop

Spark

Docker

Kubernetes

Git

CI/CD

Data privacy

Healthcare compliance

Education

Advanced degree or equivalent experience

Tools

Docker

Kubernetes

Git

CI/CD

Job description

At Solventum, we improve lives by helping healthcare professionals do their best work. Join a team using innovation and insight to make a real impact on the future of healthcare. All roles listed are with Solventum, and we're committed to protecting your personal information—learn more in our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/

Job Description:

3M Health Care is now Solventum

At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.

We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.

As a Senior Machine Learning Engineer, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world.

Here, you will make an impact by:

• 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

Your Skills and Expertise

To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications:

• Master's degree or PhD in computer science, mathematics, OR related fields or Bachelor's degree with at least 5 years of experience

AND

In addition to the above requirements, the following are also required:

• 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: Dublin, Ireland

Work type: Hybrid

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

Supporting Your Well-being

Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope.

Diversity & Inclusion

(*) We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, gender, sexual orientation, age, civil status, disability, family status, or membership of the travelling community.