Top Tech Jobs & Startup Jobs in London

Build internal full-stack products across backend, frontend, and infrastructure. Work directly with users to identify needs, create reusable platforms and abstractions, make product and prioritization decisions, and independently ship solutions. Continuously iterate based on feedback while empowering less-technical users. The role requires strong systems thinking, comfort with ambiguity, and proficiency in Python, TypeScript, and React.

Leads European data center capacity transactions from RFP and developer sourcing through term-sheet negotiation, LOI, due diligence, and lease execution. Coordinates legal, finance, engineering, network, government relations, and deployment stakeholders; manages timelines, risks, regulatory requirements, and construction-ready infrastructure development. Builds scalable transaction processes and playbooks while partnering on European market, site, and counterparty strategy.

Own the full enterprise sales cycle for Anthropic’s AI API and SaaS solutions across manufacturing organizations in EMEA. Build relationships with executives, IT, procurement, and operational stakeholders; develop manufacturing-specific sales strategies; identify production, engineering, supply chain, and operations use cases; negotiate complex agreements; exceed revenue targets; and provide customer and market feedback to inform product roadmaps and sales methodology.

Four-month, full-time research fellowship focused on ML systems and performance. Fellows build and evaluate infrastructure-heavy projects (e.g., CPU simulators, accelerator backends, large-scale distributed training), use external models/APIs, receive mentorship, funding for compute, and aim to produce public research outputs.

Drives end-to-end business technology projects, translating business requirements into technical solutions and configuring systems, workflows, permissions, and integrations. Manages vendor evaluations and performance, documentation, knowledge management, risk mitigation, testing, user acceptance, training, and ongoing system support. Analyzes processes to identify automation and optimization opportunities, monitors system performance, and coordinates integrations across platforms and 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.

Drive enterprise adoption of Anthropic’s AI solutions across pharmaceutical, biotech, and medical device organizations in EMEA. Responsibilities include developing strategic sales plans, managing executive relationships, qualifying opportunities, leading demonstrations, navigating complex procurement, negotiating contracts, closing strategic deals, monitoring pipeline, representing Anthropic at industry events, and communicating life sciences requirements to product and technical teams.

Drive new business and revenue growth for Anthropic’s AI API and SaaS solutions across EMEA insurance markets. Own the full enterprise sales cycle, develop insurance-specific strategies, navigate procurement and stakeholder ecosystems, identify new use cases, negotiate complex agreements, exceed quotas, inform product roadmaps, and improve sales methodologies and playbooks.

Leads end-to-end delivery of custom AI agent deployments for enterprise customers, including scoping, discovery, solution planning, engineering execution, stakeholder management, value measurement, and production deployment. Owns SOWs, roadmaps, requirements, risks, change management, executive communications, and delivery operations. Develops reusable playbooks and evaluation frameworks while navigating enterprise security, legal, procurement, compliance, and regulatory requirements. Travel to customer sites is expected for relationship building, adoption, and delivery acceleration.

Designs and delivers enterprise AI solutions using Claude. Acts as a pre-sales technical advisor, translating customer needs into scalable architectures, guiding evaluations and deployments, presenting to technical and executive audiences, and coordinating with Sales, Product, and Engineering. The role requires customer-facing architecture experience, enterprise integration expertise, Python familiarity, LLM knowledge, German and English fluency, and occasional customer travel.