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Über
Interested in this role You can find all the relevant information in the description below.
Location: Dublin, Ireland (Hybrid)
Travel: Up to 10%
Eligibility: Must have right to work in Ireland (no sponsorship available)
About the Organisation
Our client is a global healthcare organisation operating within Health & Information Management. They are committed to enabling better, smarter, and safer healthcare through the responsible use of data, technology, and clinical insight.
They work at the intersection of healthcare delivery and advanced data systems, building scalable solutions that support clinicians, improve patient outcomes, and ensure the highest standards of safety, compliance, and reliability.
The Role
As a Machine Learning Engineer, you will design, build, and maintain the production infrastructure that powers AI-driven healthcare information systems.
This is a highly engineering-focused role where success is measured not just by model performance, but by reliability, scalability, security, and real-world clinical usability.
You will act as a bridge between data science and software engineering, owning MLOps pipelines, deployment workflows, and production ML systems in a regulated healthcare environment.
Key Responsibilities
MLOps & Deployment
Build and maintain CI/CD pipelines for machine learning workflows (model training, testing, deployment, and versioning)
Deploy ML models as scalable APIs and microservices with strong focus on latency and reliability
Implement monitoring for model drift, performance degradation, and system health
Develop ETL pipelines for healthcare data standards including
FHIR and HL7
Ensure consistency between training datasets and production data via feature stores or data layers
Collaborate with backend and platform teams to integrate ML outputs into clinical systems
Write clean, maintainable Python code and participate in rigorous code reviews
Containerise and orchestrate workloads using Docker and Kubernetes
Ensure compliance with healthcare security and regulatory standards (e.g. HIPAA, HITRUST)
Required Experience
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software xcfaprz Engineering, or similar
Software or data engineering experience
Experience in production machine learning or MLOps environments
Technical Skills
Strong Python and SQL skills
Experience with at least one cloud platform (AWS / Azure / GCP)
Experience with Docker and Kubernetes
Familiarity with ML frameworks (PyTorch or Scikit-learn)
Experience with data tools such as Pandas, Spark, dbt
Exposure to LLM deployment or frameworks such as LangChain
Experience in regulated industries (Healthcare, Finance, etc.)
Understanding of microservices and API design
This role is based in Ireland, remote working is available but applicants must be a resident of the country.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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