Machine Learning Engineer | Hybrid – Dublin
We’re looking for a Machine Learning Engineer to 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 about MLOps, cloud infrastructure, and production stability, this could be a great fit.
Responsibilities:
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)
