A venture-backed deep tech startup is building an AI accelerator that computes with light. Role Overview As the first dedicated MLOps Engineer, you will own the infrastructure that carries models from research to silicon-validated production: the pipelines, tooling and platforms that let the AI and hardware teams move quickly while the chip and its software stack are still being built in parallel. It is a high-ownership role sitting between ML research, compiler stacks and novel hardware. What You’ll Own Pipelines and Deployment Designing and operating end-to-end ML pipelines: data ingest, training, evaluation, quantisation and deployment onto custom accelerator hardware Building experiment tracking, model registry and versioning infrastructure (MLflow, W
Machine Learning Operations employer: Wave Recruitment
As a leading global semiconductor manufacturer, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from a competitive salary, comprehensive benefits package, and ample opportunities for professional growth within a world-class engineering environment. Join us to be part of a team that is at the forefront of next-generation power semiconductor technologies, where your contributions will have a meaningful impact on the industry.
