Top Tech Jobs & Startup Jobs in London

The role involves testing, validating, and benchmarking ML software, focusing on performance, reliability, and correctness. It requires collaboration on ML frameworks and infrastructure, developing automated testing tools, and owning testing aspects and innovation.

As a Staff Software Engineer (ML QA), you'll design and maintain testing infrastructure for the ML software stack, focusing on automation, software quality, and mentoring junior engineers in a collaborative environment.

Seeking a Senior Cloud Network Engineer to develop high-performance ethernet infrastructure on private clouds, and collaborate with various teams for deployment and integration of AI systems. Responsibilities include automation, maintenance, and user support, requiring extensive cloud and networking experience.

The role involves designing, developing, and maintaining test infrastructure for a complex ML software stack, focusing on automation and engineering best practices.

The Senior ML Engineer will test and benchmark ML software stacks, validate performance, and collaborate with software teams, focusing on building automated testing pipelines.

The Senior Cloud Engineer will develop and deploy services on AI cloud systems, ensuring peak performance and overseeing Kubernetes operations. Strong cloud and Linux experience is essential.

The Senior Cloud Platform Engineer will develop and operate high-performance ethernet infrastructure, automate data collection, and maintain AI systems on private clouds, working closely with various teams to ensure optimal service deployment.

As a Research Scientist, develop new visual generative AI ideas, work on multimodal modelling, and collaborate on hardware-aware AI algorithms and systems.

The Project Manager at Graphcore oversees cross-functional transformation projects, ensuring effective delivery, stakeholder collaboration, and process improvements across various teams.

The Lead Analytics Engineer at Graphcore is responsible for developing and managing the analytics engineering layer, creating robust datasets and metrics, and collaborating with business stakeholders to enhance decision-making through reliable analytics.