Overview

We\'re seeking a highly skilled Machine Learning Engineer (RAG Specialist) to join our AI hyperscaler client on a 6–12 month contract. You will play a critical role in designing, building, and optimizing Retrieval-Augmented Generation (RAG) systems to support cutting-edge large language model (LLM) solutions at scale. This position offers a unique opportunity to work with advanced infrastructure and collaborate with world-class AI teams on next-generation machine learning systems.

Responsibilities

• Design, implement, and optimize RAG pipelines for large-scale AI/ML deployments.
• Develop and maintain data ingestion, retrieval, and indexing workflows across distributed environments.
• Work with vector databases, embeddings, and information retrieval systems to ensure high performance and low latency.
• Collaborate with researchers, ML engineers, and data scientists to integrate RAG into production-grade LLM applications.
• Contribute to scaling and deployment strategies across a hyperscaler environment (cloud-native).
• Monitor, debug, and fine-tune ML pipelines for robustness and efficiency.
• Produce high-quality documentation and knowledge transfer for internal stakeholders.

Required skills and experience

• Proven expertise in RAG (Retrieval-Augmented Generation) techniques and real-world implementation.
• Strong experience with LLMs, transformers, and embeddings.
• Hands-on experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Milvus, Vespa).
• Deep knowledge of Python and modern ML/AI frameworks (e.g., PyTorch, Hugging Face, LangChain, LlamaIndex).
• Strong background in distributed systems, data pipelines, and cloud-native environments (Azure, AWS, or GCP).
• Previous work with AI hyperscalers or large-scale ML infrastructure is highly desirable.
• Excellent problem-solving skills, with the ability to optimize systems for performance and scalability.

Employment terms

• Duration: 6–12 months (initial term with potential extension)
• Location: Hybrid – London-based (1 day onsite per week)
• Rate: Up to £1100 per day (Inside IR35)
• Start Date: Immediate / ASAP

Apply now to join our innovative client and contribute to a fast-paced, dynamic environment.