Latest Large Language Models (LLM) Jobs

Solutions Architect, CSP GTM

Design and demonstrate GPU-accelerated solutions leveraging NVIDIA and Google Cloud Platform (GCP) technologies, focusing on Generative AI and large-scale machine learning workloads. Engage with developers, data scientists, and technical leaders to optimize training and inference pipelines. Collaborate across engineering, product, and sales teams to integrate NVIDIA platforms into enterprise computing environments.

NVIDIA France

C++ Software Engineer – AI Developer Tools

You will develop production-quality C++ components and APIs for NVIDIA’s AI-powered developer tools, focusing on agentic workflows, retrieval systems, and performance optimization. Collaboration with graphics, software, and hardware teams is key.

NVIDIA United Kingdom

Manager, Forward Deployed Engineering

Lead and build Anthropic's first Forward Deployed Engineering team, guiding technical customer implementations of Claude while shaping best practices and product direction. This role combines hands-on technical oversight with team leadership, requiring experience in enterprise AI deployments and scaling engineering teams from the ground up. The manager will travel frequently to customer sites and act as a bridge between field experience and internal product development.

Anthropic London, United Kingdom

Applied AI Engineer, Startups

As an Applied AI Engineer at Anthropic, you will serve as a technical advisor to tech-forward companies, helping them build on the Claude Developer Platform. You'll work hands-on with customer engineering teams, develop custom evaluation frameworks, and create technical resources to enable successful AI applications.

Anthropic London, United Kingdom

Senior Forensics Engineer

Investigate on-road incidents and recurring issues in Wayve's autonomous vehicle stack using data analysis, simulation, and cross-functional collaboration. Identify root causes across hardware, software, and AI models, then develop automated workflows and playbooks to improve resolution speed and system performance. The role involves deep technical investigation, clear communication of insights, and contributing to a safety-first culture.

Wayve London, United Kingdom

Feature Owner, ADAS

This role involves end-to-end ownership of advanced driver assistance system (ADAS) features such as Automatic Emergency Braking and Lane Keeping Assist, ensuring they meet OEM requirements and are delivered to specification. The Feature Owner collaborates closely with engineering, product, and customer teams to define scope, set performance targets, and support validation across the development lifecycle. The position emphasizes technical engagement, cross-functional coordination, and strategic roadmap alignment within a fast-paced, innovation-driven environment.

Wayve United Kingdom

C++ Software Engineer – AI Developer Tools

You will develop production-quality C++ components and APIs for NVIDIA’s AI-powered developer tools, focusing on Genie’s retrieval and agentic features. Responsibilities include building benchmarks, improving retrieval quality, and collaborating with graphics and hardware teams.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and experiment with novel Transformer and GNN architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—on real-world applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA Germany

Relational Foundation Model Engineer, Modern Data Stack

You will design and experiment with novel Transformer and Graph Neural Network (GNN) architectures that generalize across diverse relational database schemas and heterogeneous graphs. The role involves full-cycle development—from model design and large-scale training to optimization and inference acceleration—focused on real-world applications like fraud detection, forecasting, and recommendation systems. This is a research-forward engineering role with direct impact on enterprise AI systems built atop a unified foundation model.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—tackling real-world applications like fraud detection, forecasting, and entity matching. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and experiment with novel Transformer and GNN architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—enabling applications in forecasting, fraud detection, and recommendation systems. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

This role involves designing and experimenting with novel Transformer and Graph Neural Network (GNN) architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. The engineer will work across the full ML lifecycle—from architecture design to inference acceleration—enabling applications in fraud detection, forecasting, and recommendation systems. Collaboration with researchers and engineers is central, with a focus on pushing beyond traditional single-table AI models.

NVIDIA

Staff+ Software Engineer, Platform Connectivity

Design and operate core connectivity infrastructure for AI agents, including the MCP proxy, OAuth/token management, and admin controls. Contribute to the open MCP standard and SDKs while ensuring enterprise-grade reliability and security. Work across distributed teams to ship foundational services used by Claude products and API consumers.

Anthropic United Kingdom US$405,000 – US$485,000 pa

Engineering Manager, Connectivity - London

Lead a London-based engineering team building critical connectivity infrastructure for AI agents, including the MCP proxy, OAuth systems, and token management. Drive reliability, security, and scalability across distributed systems used in enterprise environments. Collaborate closely with San Francisco teams to shape the future of agent tool integration and contribute to open standards.

Anthropic London, United Kingdom £255,000 – £325,000 pa

[London] Applied AI Architect, Partnerships

This role involves building technical relationships with global and regional system integrators and cloud partners, enabling their AI practices, and supporting strategic customer deals. You will also gather product feedback and represent Anthropic at partner events.

Anthropic London, United Kingdom