AI/ML Engineer - Scientific & Research Platforms - Databricks - AWS/Azure - LLM
Nicoll Curtin
2 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Python
Azure
Large Language Models
Kubernetes
Machine Learning Operations
Databricks
Job description
- Translate notebook-based experimentation into robust ML pipelines
- Optimise and deploy models in collaboration with AI scientists
- Explore, clean, and validate complex scientific datasets
- Build repeatable ML workflows and training pipelines
- Support and upskill teams, improving overall MLOps maturity
Requirements
- Strong Python development and ML engineering background
- Experience with Databricks, Ray, Kubernetes, MLflow, ClearML, or W&B
- Cloud platforms: AWS and Azure, including ML services (EKS/SageMaker, AKS/Azure ML)
- Experience processing large, complex scientific datasets
- Hands-on experience with LLMs and modern ML architectures
