Senior Applied AI Engineer - Financial LLMs

Do you want to build AI systems that let users query complex datasets in natural language?

Have you worked with machine learning models and wondered how they can power conversational analytics?

Are you ready to apply LLMs and advanced analytics to financial market data?

A London-based AI software company is developing conversational analytics platforms that allow organisations to interact with complex datasets through natural language. Their technology combines traditional NLP systems with modern LLM capabilities to create intelligent data assistants and private enterprise language models.

The company is expanding its data science team to support the next stage of product development, including financial data tools designed for organisations operating around the London Stock Exchange ecosystem.

This Senior Data Scientist role sits within a small, highly technical team building the core models powering these products. You will work on machine learning systems that drive conversational analytics, experimentation pipelines, and domain-specific models for financial data.

Key Responsibilities

• Build and optimise machine learning models for conversational analytics products

• Develop LLM-driven systems including fine-tuning and prompt pipelines

• Apply statistical modelling and quantitative analysis to financial datasets

• Conduct feature engineering, model evaluation, and experimentation

• Work with engineering teams to integrate models into AWS-based platforms

• Support development of AI systems used by quantitative and financial users

Key Details

• Salary: £65,000 – £70,000

• Working model: Hybrid, 1 day per week in Canary Wharf, London

• Tech stack: Python, ML algorithms, NLP, LLMs, AWS

• Visa sponsorship: Not confirmed

Interested? Please apply below.