Senior ML Engineer: Hybrid AI, LLMs, Cloud Delivery

Collins McNicholas Group; Dublin; Hybrid; EUR 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

25 days AL

Pension

Life assurance

Healthcare

Employee discounts

Global Recognition program

Hybrid working

Job summary

Collins McNicholas Group in Dublin seeks a Senior Machine Learning Engineer to join a leading global healthcare company. The role is full-time, permanent, and hybrid, offering opportunities to build scalable ML systems and collaborate across disciplines.

Responsibilities include translating business needs into technical requirements, deploying DL/LLM models, and ensuring data privacy with GDPR/HIPAA compliance. Strong cloud and CI/CD expertise are valued.

Qualifications

• Master’s/PhD in computer science, mathematics, or related fields, or a Bachelor’s with 5+ years in ML.
• 5+ years of experience in a machine learning engineering role or related field.
• Experience building end-to-end ML/AI pipelines (data ingestion to deployment).

Responsibilities

• Collaborate with domain experts, data scientists, and stakeholders to translate business requirements into technical specs.
• Build automated pipelines for data processing and training, evaluation and deployment of deep learning or LLM models including Agentic AI.
• Design scalable infrastructure for model training and inference, in cloud and on-premises.
• Set up monitoring to enable proactive countermeasures for model degradation.
• Ensure data privacy and GDPR/HIPAA compliance during development and deployment.

Skills

Machine Learning

Interdisciplinary collaboration

Education

Master's/PhD in CS/Math or related

Bachelor’s with 5+ years in ML

Tools

Docker

Kubernetes

Git

CI/CD

Job description

Collins McNicholas Group in Dublin seeks a Senior Machine Learning Engineer to join a leading global healthcare company. The role is full-time, permanent, and hybrid, offering opportunities to build scalable ML systems and collaborate across disciplines.

Responsibilities include translating business needs into technical requirements, deploying DL/LLM models, and ensuring data privacy with GDPR/HIPAA compliance. Strong cloud and CI/CD expertise are valued.