Top AI & Machine Learning Jobs

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.

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 ML Engineer will benchmark ML models, validate functionality across environments, develop testing pipelines, and collaborate with software teams on product quality.

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

Define and drive the architectural vision of the software stack for the Graphcore ML accelerator, ensuring effective communication and maintenance of software architecture across teams.

Develop and maintain infrastructure tools and services to support AI research. Manage CI platforms, deploy services with Kubernetes, and utilize cloud infrastructure.

The Lead Data Engineer will design and oversee data pipelines and platforms, ensuring reliability, scalability, and governance while collaborating with various stakeholders.

The role involves creating and executing plans for the bring-up and characterisation of silicon devices, ensuring they operate correctly in various conditions. The engineer will collaborate with teams to develop automated testing systems, document requirements, and produce detailed reports on characterisation results.