LLM Ops Engineer

LLM Ops Engineer page is loaded## LLM Ops Engineer locations:
G
-Nottingham-1 Chapel Qtrtime type:
Full time posted on:
Posted Todayjob requisition :
R0115117

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs.

It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.
** OUR PEOPLE:
** People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference.

Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder – which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.
** ROLE

SUMMARY:

** We are seeking a skilled and proactive
** LLM Ops Engineer
** with expertise in
** Large Language Model (LLM) Operations
** to join our growing AI and software development team. This role is critical in ensuring the reliability, performance, and evolution of LLMs and data pipelines in production environments.

You’ll understand the roles of Platform, AI Engineering, Governance and Product. We have built a technical stack that can be expressed as three main categories; tracing, Annotations and experiments with plans to build a Data Science Workspace.  We are looking for an engineer who can help us maintain the pipelines, experimentation platform and data science workspace.  Ideally you’ll have experience with Langfuse (or similar tools) and how data science work spaces.

The LLM Ops team is a new team and we are building out the use case, so you’ll be part of a team that is pushing on new frontiers in the area of LLM Ops.  You’ll be working with other LLM Ops engineers, AI engineers, data scientists, operations personnel and our product manager.
** WHAT YOU'LL BE DOING:
*** Data & System Integration  + You’ll be responsible for configuring the platform, integration.  You’ll understand the roles of Platform, AI Engineering, Governance and Product.  You’ll be responsible for completion of the LLM Ops stack, including Platform (DSQ, Langfuse), Langfuse integrations for AI components, LLM Ops workflows, help with data annotations, basic monitoring and analytics.  + Work with data  scientists and engineers to ensure high-quality, real-time data feeds into LLM systems.  

+ Build and maintain observability tools for data quality, model behaviour, and system health.
* Model Lifecycle Management  + Manage the deployment, versioning, and rollback of LLMs in…