Latest Research Scientist Jobs

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Solution Architect, Local Government AI

This role involves working closely with government clients and internal teams to design and deploy AI-driven solutions that address public sector challenges. The Solution Architect will develop technical strategies, create educational resources, lead proof-of-concept initiatives, and support the implementation of AI workflows using NVIDIA's technologies. A strong focus is placed on computer vision, generative AI, and deep learning deployment in real-world government environments.

NVIDIA
Remote Permanent Clearance Required
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Senior Software Engineer, AI Inference Systems

Design and optimize high-performance AI inference systems for large-scale models using cutting-edge GPU hardware. Develop and enhance inference frameworks like vLLM, implement advanced parallelism techniques, and contribute to compiler and kernel optimization. Build scalable scheduling solutions for multi-node, multi-cloud GPU deployments and drive industry benchmarks such as MLPerf.

NVIDIA PLN 292,500 – PLN 650,000 pa

Data Center Energy Lead, EMEA

Lead the development and execution of energy procurement and grid connection strategies for Anthropic's AI compute infrastructure across multiple European jurisdictions. Drive multi-hundred megawatt power capacity acquisition, engage with transmission and distribution system operators, regulators, and shape energy policy to accelerate data center energization. Partner with engineering teams to align energy market dynamics with aggressive deployment timelines.

Anthropic London, United Kingdom

IT Support Engineer

This role involves providing hands-on IT support across a primarily macOS environment, resolving technical issues in hardware, software, networking, and accounts. The engineer will triage tickets, automate repetitive tasks using Bash or Python, improve onboarding at scale, and collaborate with IT Engineering and Security teams. Emphasis is placed on problem ownership, process improvement, and using automation—including AI tools like Claude—to enhance efficiency and employee experience.

Anthropic London, United Kingdom £130,000 – £175,000 pa
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Compiler Engineer - AI Inference

Develop and optimize compilers for AI inference workloads on next-generation NVIDIA GPUs, focusing on kernel generation, computational graph optimizations, and hardware-software co-design. Collaborate with cross-functional teams to advance AI performance and scale across datacenters. Work at the forefront of compiler innovation for deep learning and AI architectures.

NVIDIA Cambridge, United Kingdom
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Compiler Engineer - AI Inference

This role involves developing advanced compiler technologies for AI inference and training workloads, focusing on kernel generation and computational graph optimizations for NVIDIA's GPUs. You'll solve complex compilation challenges, collaborate on hardware-software co-design, and help scale AI workloads across datacenters. The position emphasizes innovation in MLIR-based frameworks and optimizing performance on cutting-edge GPU architectures.

NVIDIA United Kingdom
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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
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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
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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
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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
NVIDIA logo

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

Product Manager, Business Technology

This role involves owning and driving the development of internal products powered by Claude, Anthropic's AI system, across departments like Legal, IT, Finance, and Security. The Product Manager will identify inefficiencies, define problem statements, and ship automation solutions that measurably improve team outcomes. Success is measured through adoption, business impact, and effective change management, requiring close collaboration with engineering, security, and business leaders.

Anthropic London, United Kingdom £190,000 – £240,000 pa

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

Head of Deal Desk - International

Lead and scale the Deal Desk function for Anthropic's international business across EMEA and APAC, overseeing complex deal structuring, pricing, and approvals while ensuring alignment with global standards. Build and manage a team of three, acting as the bridge between sales and internal functions like Legal, Finance, and Revenue Operations to enable clean, bookable deals. Establish operating models, tooling, and metrics to support rapid international growth in a high-ambiguity environment.

Anthropic London, United Kingdom £285,000 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