onsite
AI/ML Engineer - Infinity Quest UK
ML Engineer
AI/ML Engineer focused on building and deploying generative AI and RAG systems using Python, modern ML frameworks, and vector databases to deliver advanced NLP and conversational solutions.
About the role
Key Responsibilities
- Design, develop, and deploy AI/ML solutions using Python and state‑of‑the‑art ML frameworks.
- Build and optimize generative AI applications leveraging large language models such as GPT, Claude, and Llama.
- Develop and maintain Retrieval‑Augmented Generation (RAG) systems with vector databases like Pinecone, Weaviate, or ChromaDB.
- Implement end‑to‑end NLP pipelines for document intelligence, entity extraction, text classification, semantic search, and conversational AI.
- Fine‑tune, evaluate, and monitor machine learning models, ensuring performance, scalability, and reliability.
Requirements
- Strong proficiency in Python and experience with ML libraries such as PyTorch, TensorFlow, or Hugging Face.
- Hands‑on experience with large language models and generative AI techniques.
- Knowledge of vector databases and RAG architectures.
- Solid understanding of NLP concepts and practical pipeline implementation.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.
Skills
pythonmachine learninggenerative ainlp