Production AI Engineer: LLMs, RAGs & MLOps

Xcede; Greater London; On-site; GBP 80,000 - 110,000; Full time

Job summary

Xcede is seeking an AI Engineer to join their AI unit within a data-driven insurance client. You will build and deploy production-level models with a focus on LLMs and RAGs, collaborating with business teams to translate requirements into scalable AI solutions.

The role emphasizes end-to-end responsibilities, shipping AI to production, and hands-on deployment of ML and LLM models in real-world projects.

Qualifications

• Several years of commercial experience in a Data Science role building statistical and machine learning models.
• Built and deployed machine learning models in production.
• Excellent use of Python.
• Experience with NLP, LLMs and RAGs is highly valued.
• CI/CD and MLOps experience is valued.
• Databricks experience is valued.

Responsibilities

• Develop and deploy production-level models for commercial projects with a focus on LLMs and RAGs.
• Collaborate with cross-functional teams to understand business requirements and identify deployment opportunities for statistical models.
• Build production-grade ML and LLM models and be hands-on in deployment.
• Evaluate and select appropriate ML techniques to solve commercial challenges.

Skills

Python

NLP/LLMs/RAGs

Production ML deployment

Data science

CI/CD / MLOps

Databricks

Tools

Databricks

Job description

Xcede is seeking an AI Engineer to join their AI unit within a data-driven insurance client. You will build and deploy production-level models with a focus on LLMs and RAGs, collaborating with business teams to translate requirements into scalable AI solutions.

The role emphasizes end-to-end responsibilities, shipping AI to production, and hands-on deployment of ML and LLM models in real-world projects.