Top Tech Jobs & Startup Jobs in London
As a Startup Account Executive at Anthropic, drive adoption of safe, frontier AI by securing strategic deals with fast-growing startups. Collaborate with teams to refine value proposition and sales methodology. Identify new market segments, inform product roadmaps through customer feedback, and optimize sales methodology.
Lead the go-to-market strategy and execution for AI products in the UK market, build and lead a high-performing sales team, strengthen partnerships, and drive revenue growth from enterprise software/SaaS sales. Develop partnerships with key partners, collaborate with Product, analyze market trends, and ensure alignment with global strategy. Salary range: £280,000—£330,000 GBP per year.
Drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlock new value streams throughout their business, and become a trusted partner to customers. Continuously refine value proposition, sales methodology, and market positioning.
Drive the adoption of frontier AI by developing bespoke solutions for enterprises. Act as the primary technical advisor for prospective customers and lead the vision and execution of innovative AI solutions. Collaborate with cross-functional teams to integrate AI systems into products and maintain safety standards.
As a Software Engineer at Anthropic, you will be responsible for building large scale ML systems, improving infrastructure, running scientific experiments, and enhancing dev tooling. The role requires a strong understanding of machine learning research and a focus on creating safe and trustworthy AI systems.
As a Research Engineer at Anthropic, you will be responsible for building large-scale ML systems, improving infrastructure, running scientific experiments, and enhancing development tooling. The role focuses on creating safe, trustworthy AI systems. This is an evergreen role with ongoing evaluation of top talent to join the team.
Design and implement new information architecture strategies, train language models, build knowledge base eval sets, extend traditional ideas, collaborate with ML researchers, conduct research, and develop innovative solutions.
Contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems. Run machine learning experiments to understand and steer the behavior of AI systems. Collaborate with other teams on research projects and contribute to key AI safety efforts.
Seeking Research Scientist to work on large-scale AI research projects, align models with human values, interpret neural networks, and develop new models. Responsibilities include creating evaluation datasets, comparing Transformer variants, and visualizing attention in language models.
As a Research Engineer at Anthropic, you will be involved in building large scale ML systems, improving infrastructure, running scientific experiments, and enhancing dev tooling. The role focuses on creating safe, steerable, and trustworthy AI systems.
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