Data Scientist
Design and deploy enterprise-scale GenAI solutions using LLMs, RAG, LangChain, OpenAI, Hugging Face, vector databases, and cloud platforms (AWS/GCP/Azure). Develop LLM-powered applications, build RAG pipelines, and fine-tune models with Python, PyTorch/TensorFlow, FastAPI, and Streamlit.
Free Tailor for ATS: 10/10 runs left
I'm currently recruiting for 2X Data Scientists (Generative AI) opportunity based in London with flexible hybrid working (3 days on site typically). This is a permanent role where you'll help design and deploy enterprise-scale GenAI solutions, working with technologies including LLMs, RAG, LangChain, OpenAI, Hugging Face, vector databases, and cloud platforms (AWS/GCP/Azure).
Salary is up to 65K with 10% bonus
There's no sponsorship for the role.
You'll be involved in:
Building and deploying LLM-powered applications for real business use cases.
Developing RAG pipelines, prompt engineering, and fine-tuning foundation models.
Collaborating with Data Engineering, MLOps, and Product teams to deliver scalable AI solutions.
Staying at the forefront of GenAI and emerging AI technologies.
We're looking for someone with around 5+ years of Data Science/Machine Learning experience, including hands-on experience with Generative AI/LLMs, strong Python skills, and experience with frameworks such as LangChain, Transformers, PyTorch or TensorFlow.
Experience with OpenAI, Claude, Mistral, Llama, vector search, FastAPI, Streamlit, or enterprise AI applications would be a strong advantage, and any exposure to Palantir is a bonus.