Data Scientist (LLM)

DATA SCIENTIST (LLM)

£60,000 to £80,000

London (HYBRID)

The Company:

As a Data Scientist, you will be working with experienced Data Scientists and Data Engineers to deliver and create models of impact. You will be exposed to the latest technologies, and you will be given the opportunity to be part of an ever-growing industry.

The position requires developing, integrating, and scaling generative AI systems, enhancing data, and collaborating with the broader AI team. Staying current with the latest trends in generative AI and machine learning is essential. The ideal candidate should have experience with large language models (LLMs), including their use in natural language model systems both pre- and post-production. Additionally, a strong understanding of contemporary LLM literature is necessary.

Role:

• Deploying Data Science/LLM projects straight onto the FinTech market.
• You will be building Machine Learning/LLM/RAG algorithms and models to create new data products and services using Python.
• You will be coding and testing new algorithms for prototype and production applications using Python libraries (TensorFlow and Keras).
• You will be translating data into meaningful insights using Python.
• Take the lead in the interaction with customers and stakeholders to showcase the project.
• You will develop and deploy advanced AI/LLM/RAG models
• You will enhance the functionality and performance of our ML engine, models, and systems.
• You will utilize machine learning methods to interpret and analyze data, ensuring continuous adaptation and evolution of our models.
• You will work in partnership with the technical team, including data scientists and ML engineers.

Your Skills and Experience:

• Educated to a MSc or PhD level in Stem subject.
• Proven Knowledge in the implementation of Machine Learning techniques.
• LLM/RAG experience
• Strong commercial experience with Python and a proficient knowledge of Python, R, and Scala.
• Previous commercial exposure to tools such as Keras, TensorFlow, Python.
• Excellent communication skills and team and colleague engagement.

Benefits:

• Competitive Salary.
• Outstanding career progression.
• Flexible working.

How to Apply

Please register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page.