Overview
We are seeking a Machine Learning Engineer specializing in Large Language Models (LLMs) to support a leading tech organization's initiatives in Generative AI innovation. In this role, you will design and develop infrastructure and tools that facilitate advanced LLM research, collaborating closely with researchers to enhance model performance and reliability. The position is fully remote, targeting candidates based in the UK.
Responsibilities
- Design and build tools and infrastructure for large language model development.
- Collaborate with researchers to identify weaknesses in agent-generated code.
- Develop scalable frameworks for model annotation, training, and experimentation.
- Apply agentic design principles to enhance LLM reasoning and autonomy.
- Conduct hands-on experiments with Python, LLMs, and LLaMA models.
- Manage and procure your own coding environment (e.g., Jupyter Notebook, Google Colab).
Requirements
- 4+ years of experience in Machine Learning / AI, focusing on LLMs, data mining, or pattern recognition.
- Hands-on experience with LLM agents and generative AI systems.
- Strong proficiency in Python, with experience in PyTorch or TensorFlow.
- Familiarity with agentic design principles and LLaMA architectures.
- Advanced debugging and problem-solving skills.
- Experience in running large-scale ML experiments and managing compute environments.
- Master's or PhD in Computer Science, AI, ML, or related field.