Top Tech Jobs & Startup Jobs in London

Design and manage infrastructure supporting AI model and agent research, training, data pipelines, inference, and public agent platforms. Build reliable, scalable systems for APIs and agent runtimes across multi-tenant and on-premise deployments. Establish observability and monitoring strategies. The role requires monitoring expertise and modern programming skills, with preferred experience in MLOps, data engineering, cloud architecture, containers, infrastructure as code, and CI/CD.

Design and manage infrastructure supporting AI model and agent research, data pipelines, inference, agent platforms, APIs, and runtimes across multi-tenant and on-premise deployments. Build observability and monitoring strategies, and help ensure public services are reliable, robust, and scalable. The role may also involve cloud architecture, container orchestration, infrastructure as code, and CI/CD management.

Build and operate the revenue engine across sales, partnerships, forward deployment, and marketing. Own GTM architecture, forecasting, planning, CRM systems, pipeline data, deal desk governance, usage-based billing workflows, compensation administration, and revenue insights. Establish trusted reporting, automate RevOps workflows with AI agents, and create scalable processes across self-serve API and enterprise sales motions.

This role involves contributing to the development and advancement of agentic AI technologies in a collaborative environment.

Develop and train advanced LLMs and VLMs, optimize training methods, design data pipelines, and evaluate model performance. Collaborate with teams in AI systems integration.

Develop and train advanced large language models and vision-language models, implement training methods, design data pipelines, and collaborate with teams to integrate models into AI systems.