Machine Learning Engineer | Hybrid – Dublin
We’re looking for aMachine Learning Engineerto help power AI within Healthcare Information Systems. This role is ideal for someone who enjoys building production-ready ML systems — not just models, but the infrastructure that makes them reliable, scalable, and secure in the real world.
If you’re passionate aboutMLOps, cloud infrastructure, and production stability, this could be a great fit.
MLOps & Deployment
Build and maintain CI/CD pipelines for ML (testing, deployment, version control)
Deploy models as scalable APIs and microservices
Monitor model performance, data drift, and system health in production
Data Engineering & Integration
Develop and optimise ETL pipelines for healthcare data (FHIR, HL7)
Support feature stores and data layers to ensure training/production consistency
Integrate ML outputs into core healthcare applications alongside backend teams
Engineering Excellence
Write clean, maintainable Python code
Use Docker & Kubernetes to orchestrate ML workloads
Ensure systems meet strict security and compliance standards (HIPAA/HITRUST)
Requirements:
3–5 years’ experience in software or data engineering
At least 2 years working with ML in production environments
Strong Python skills (SQL required; Go or Java a bonus)
Experience with AWS, Azure, or GCP
Hands‑on experience with Docker
Familiarity with ML frameworks (PyTorch or Scikit-learn)
Experience with MLOps tools (Airflow, Prefect, Kubeflow, etc.)
Experience with data tools such as Pandas, Spark, or dbt
Desired:
Experience deploying Large Language Models (LLMs)
Background in a regulated industry (Healthcare, Finance, etc.)
Knowledge of APIs and microservices architecture
For more information or to apply, please contact: Aoife Regan
Email: aoife.regan@collinsmcnicholas.ie
Phone: (090) 6450 760)
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