LLM Ops Engineer – Real-Time AI Pipelines

LSEG; Nottingham; On-site; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Healthcare

Retirement planning

Paid volunteering days

Wellbeing initiatives

Job summary

A leading financial data provider in the United Kingdom is seeking an LLM Ops Engineer to ensure the reliability and performance of LLMs in production environments. This Senior Associate role involves managing model lifecycle, configuring platform integrations, and monitoring performance. Candidates must have experience in LLM Ops and significant expertise in Python, cloud platforms and monitoring tools. This role offers competitive benefits including healthcare and retirement planning.

Qualifications

• Proven experience in LLM Ops, MLOps, or AI infrastructure roles.
• Strong understanding of LLM behaviour, fine-tuning, and prompt engineering.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerization.

Responsibilities

• Configure platform integrations and manage LLM Ops stack components.
• Monitor LLM performance and detect drift using automated tools.
• Implement CI/CD pipelines for model deployment and testing.

Skills

LLM Ops

MLOps

AI infrastructure

monitoring tools

Python

AWS Bedrock

Docker

Kubernetes

Tools

Prometheus

Grafana

MLflow

Evidently AI

Job description

A leading financial data provider in the United Kingdom is seeking an LLM Ops Engineer to ensure the reliability and performance of LLMs in production environments. This Senior Associate role involves managing model lifecycle, configuring platform integrations, and monitoring performance. Candidates must have experience in LLM Ops and significant expertise in Python, cloud platforms and monitoring tools. This role offers competitive benefits including healthcare and retirement planning.