"distributed llm" Jobs
40 open tech roles matching “distributed llm”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, AWS. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 40 results
Lead the Customer Engineering organization at Cloudflare, driving strategic direction and operational excellence in a hybrid role based in London.
Lead the development of advanced Machine Learning models to transform Customer Operations at Monzo.
Join Perplexity AI as an AI Infrastructure Engineer to build and optimize large-scale AI training and inference clusters.
Lead the development of advanced Machine Learning models to enhance Business Banking experiences for small businesses at Monzo.
Join Synthesia as a Principal Engineer to enhance ML platform reliability and scalability in a hands-on role.
Lead the establishment and growth of Perplexity's London office, shaping its engineering culture and technical direction.
Join Databricks as an AI Engineer to develop cutting-edge GenAI solutions and serve as a trusted advisor to customers.
Lead the establishment and growth of Perplexity's London office, shaping its engineering culture and technical direction.
Join Synthesia as an ML Platform Engineer to enhance AI video platform reliability and scalability in a hands-on role.
Join Perplexity AI as an AI Inference Engineer to optimize and develop our inference engine for various model architectures.
Join Coram AI as a Software Engineer to design and scale backend systems for a cutting-edge video intelligence platform.
Join Synthesia as a Staff Research Engineer to shape the future of interactive multimodal systems in AI video communication.
Join Sierra as a Deployed Infrastructure Engineer to manage customer deployments of our AI platform while collaborating with cross-functional teams.
Join Sierra as a Deployed Infrastructure Engineer to manage customer deployments of our AI platform in a collaborative environment.
Join Together AI to build production AI agents and foundational systems for one of the largest GPU fleets in the world.