Machine Learning Engineer

About the role

As a Machine Learning Engineer, you will contribute to the development, improvement, and evaluation of modern machine learning systems, with a particular focus on Large Language Models (LLMs) and transformer-based architectures. You will work with existing machine learning codebases, analysing their structure and implementing practical enhancements to improve model performance and reliability.

What you'll do

• Understand existing ML systems: Review and navigate established machine learning codebases to understand their architecture, functionality, dependencies
• Develop and improve ML implementations: Write, modify, debug, and optimize machine learning solutions using Python and frameworks such as PyTorch
• Work with modern AI architectures: Implement and support transformer-based models and LLM applications using Hugging Face Transformers and related technologies
• Support model fine-tuning: Apply fine-tuning techniques to adapt existing models to specific tasks, improve their performance, and enhance output quality
• Perform model inference and evaluation: Run experiments and evaluate model accuracy, performance, consistency

What you need

• Machine learning
• Python
• LLMs
• Prompt engineering
• PyTorch
• Git