GenAI Data Scientist – LLMs, RAG, Hybrid London

GenAI Data Scientist – LLMs, RAG, Hybrid London

Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
Revoco

At a Glance

  • Tasks: Design and deploy enterprise-scale GenAI solutions using cutting-edge technologies.
  • Company: Revoco, a forward-thinking company in the heart of London.
  • Benefits: Salary up to Β£65K plus a 10% bonus and flexible hybrid working.
  • Other info: Collaborate with diverse teams and enjoy excellent career growth opportunities.
  • Why this job: Join a dynamic team and shape the future of AI with innovative projects.
  • Qualifications: Experience with LLMs, RAG, and cloud platforms is essential.

The predicted salary is between 63000 - 77000 Β£ per year.

Revoco in London is recruiting two Data Scientists (Generative AI) for permanent roles with a flexible hybrid model (3 days on site).

You will design and deploy enterprise-scale Gen AI solutions using LLMs, RAG, Lang Chain, Open AI, Hugging Face, vector databases, and cloud platforms (AWS/GCP/Azure).

Salary up to 65K with a 10% bonus.

You will contribute to building LLM-powered apps, developing RAG pipelines, and collaborating with Data Engineering, MLOps, and Product teams while staying ahead of

#J-18808-Ljbffr

GenAI Data Scientist – LLMs, RAG, Hybrid London employer: Revoco

Revoco is an excellent employer that prioritises a culture of collaboration and innovation, making it an ideal place for a Product Security Engineer to thrive. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work alongside talented professionals in the vibrant city of Bristol. The company values secure-by-design principles, ensuring that your contributions directly impact product quality and security from the outset.

Revoco

Contact Details:

Revoco Recruitment Team

We think you need these skills to ace GenAI Data Scientist – LLMs, RAG, Hybrid London

Python
SQL
Problem-Solving Skills
Data Engineering
Communication Skills
Data Pipeline Development
API Integration