Staff Machine Learning Engineer

model distillation.Design scalable inference infrastructure with a focus on latency, reliability and operational efficiency.Build and maintain high-quality data pipelines for both synthetic and real-world datasets.Develop robust evaluation frameworks covering model quality, robustness, safety and performance.Optimise GPU utilisation, memory usage and inference performance for production deployments.Work closely with software engineers to integrate ML capabilities into backend services and customer-facing products.Lead technical delivery, mentor engineers and help shape engineering best practices.Balance research ambitions with practical engineering trade-offs to deliver value quickly.TechnologyPythonPyTorch and/or JAXLarge-scale GPU training and inference infrastructureModern ML deployment pipelinesIdeal ExperienceProven experience delivering machine learning systems into production.Strong understanding of modern foundation models and large language models.Experience building scalable training and inference infrastructure.Excellent software engineering skills with a focus on maintainable, production-quality code.Comfortable leading technical delivery while remaining hands-on.Strong communication skills and the ability to collaborate across research, engineering and product teams.If you are an experienced Staff Machine Learning Engineer looking for a new remote opportunity paying a market-leading salary up to 200,000. To be considered for this role apply to this remote Staff Machine Learning Engineer job.For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.Tagged as: Machine Learning, Python, Software