About the Role
Join our AI Engineering division in London to specialize in LLM fine-tuning, retrieval-augmented generation (RAG), and hosting private models. You will be responsible for tailoring deep learning models to specialized domain tasks.
Key Responsibilities
- Fine-tune open-source models (Llama, Mistral, Qwen) for specific domain functions
- Optimize model deployment pipelines for low latency and high throughput
- Build advanced context management and semantic search solutions
- Implement prompt evaluation frameworks and guardrail architectures
Requirements
- 3+ years of experience focusing on Natural Language Processing and Generative AI
- Hands-on experience with PyTorch, Hugging Face Transformers, and parameter-efficient fine-tuning (PEFT/LoRA)
- Experience deploying models with vLLM, Ollama, or Triton Inference Server
- Strong background in software engineering best practices and clean code
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