GenAI Data Scientist: LLMs, RAG & Prompting

TechYard; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

TechYard is seeking a highly capable Data Scientist to lead GenAI initiatives. You will design, deploy, and scale LLM-based applications, focusing on RAG, embeddings, and retrieval-augmented generation for enterprise use cases.

Ideal candidates have 5+ years in Data Science/ML with GenAI hands-on experience, strong Python skills, and familiarity with OpenAI GPT-4 or similar models. You will collaborate with data engineers, MLOps, and product teams in a fast-paced environment.

Qualifications

• 5+ years of experience in Data Science / ML with GenAI focus.
• At least 1 year hands-on in LLM/GenAI projects.
• Strong Python and ML libraries experience.
• Experience with OpenAI GPT-4, Claude, or similar models.
• Knowledge of vector search and semantic search.
• Ability to deploy AI apps via APIs or web apps.

Responsibilities

• Design and build GenAI solutions using LLMs for business problems across domains.
• Fine-tune or adapt foundation models using domain data.
• Implement RAG pipelines, embedding models, and vector databases.
• Collaborate with data engineers, MLOps, and product teams to build end-to-end AI applications and APIs.
• Develop custom prompts and prompt chains using LangChain, LlamaIndex, PromptFlow, or similar frameworks.
• Evaluate model performance, mitigate bias, and optimize accuracy, latency, and cost.
• Stay up to date with trends in LLMs, transformers, and GenAI architecture.

Skills

Python

LLMs

LangChain

MLOps

Prompt tuning

Fine-tuning

Vector search

Cloud platforms

Communication

Tools

FAISS

Pinecone

ChromaDB

FastAPI

Streamlit

Flask

PyTorch

Job description

TechYard is seeking a highly capable Data Scientist to lead GenAI initiatives. You will design, deploy, and scale LLM-based applications, focusing on RAG, embeddings, and retrieval-augmented generation for enterprise use cases.

Ideal candidates have 5+ years in Data Science/ML with GenAI hands-on experience, strong Python skills, and familiarity with OpenAI GPT-4 or similar models. You will collaborate with data engineers, MLOps, and product teams in a fast-paced environment.