Top Tech Jobs & Startup Jobs in London

The role entails serving as a pre-sales architect for public sector clients, integrating AI solutions, and guiding customer success through technical discovery to deployment, involving collaboration with sales, engineering, and product teams.

The Staff Infrastructure Engineer will lead the strategy for agent-driven cluster lifecycle management, ensuring secure and scalable compute systems while mentoring junior engineers.

Lead EMEA sales efforts for Anthropic's AI solutions, building a sales team, winning new business, and navigating complex nonprofit structures. Drive revenue while fostering partnerships across various sectors.

Lead the sales team for EMEA at Anthropic, focusing on partnerships with nonprofits and educational institutions. Drive revenue while building and managing a high-performing team. Navigate complex sales cycles and stakeholder ecosystems to achieve strategic goals.

Drive deep technical adoption of Claude Code and Claude Developer Platform across enterprise accounts via tailored enablement, pilots, hackathons, demos, and production-quality reference implementations. Partner with Sales, Applied AI, Product, and Customer Success to convert developer enthusiasm into org-wide adoption and feed field signal back to Product and Engineering.

Serve as a pre-sales technical advisor for enterprise customers, translating business needs into scalable LLM architectures using Claude. Lead technical discovery, develop evaluations, design integrations with enterprise systems, create tailored technical content, and coordinate across Sales, Product, and Engineering to drive deployments and adoption. Provide occasional on-site workshops and maintain expertise in LLM capabilities and implementation patterns.

As a Software Engineer on the Safeguards team, you will build systems for monitoring AI models to promote safety and prevent misuse, ensuring oversight and user well-being.

Responsible for managing the lifecycle of accelerator capacity, developing AI infrastructure, and driving cross-team initiatives while ensuring operational excellence and mentoring engineers.

The Staff Software Engineer will enhance Kubernetes scheduling for multi-cloud environments, design core services, ensure reliability, and collaborate with various teams to optimize performance.

Design, run, and interpret large-scale reinforcement-learning experiments; build benchmarks for long-horizon RL; diagnose scale-dependent failures; and translate validated findings into production training recipes while collaborating with research and engineering teams.