76 to 79 of 79 Machine Learning Jobs in Oxford

AI-Driven Metabolic Modelling Scientist

Location
Oxford, England, United Kingdom
Generative Biology Institute in Oxford, United Kingdom, seeks a Bio-ML Scientist (Metabolic Modelling) to develop AI/ML systems for metabolic design and discovery, collaborating with wet lab and computational teams. You will work on genome-scale metabolic models, integrate multi-omics data, and help build robust ML pipelines ...

Senior ML Infrastructure Engineer Enterprise Operations Oxford, England, United Kingdom

Location
Oxford, England, United Kingdom
sensitive research environments. Partner with Research, Data, and Applied teams to forecast capacity and cost for GPU and storage needs, setting quotas and streamlining ML experimentation pipelines. Essential Skills, Qualifications & Experience: Proven experience leading the design, build, and operation of high-performance ML compute clusters at scale A proactive, autonomous … approach to systems design and the proven ability and desire to ideate, co-create and implementoptimalsolutions Exposure to migrating or transforming ML infrastructure from traditional schedulers to modern, containerised systems Expertisewith high-throughput storage systems for ML/HPC workloads Expert-level understanding of GPU architecture, high-speed networking ...

Lead Researcher: Large Language Models & AI Theology

Location
Oxford, England, United Kingdom
Machine project at the Ian Ramsey Centre for Science and Religion, University of Oxford, seeks a postdoctoral-level researcher to handle technical aspects of experimental work … with large language models and AI tools. You will contribute to Workstream 1 and support Workstream 2 as a technical expert, applying Python and ML frameworks to deploy and test local models, interpret results, and advance the theology of AI. #J-18808-Ljbffr ...

Senior ML Infra Engineer: Scale GPU Clusters & Pipelines

Location
Oxford, England, United Kingdom
Ellison Institute, LLC is seeking an experienced Senior ML infrastructure engineer to build and operate scalable GPU training and inference clusters in a secure, observable environment. You will design high-throughput data paths and manage lifecycle of compute and storage resources to accelerate research outcomes. Ideal candidates bring hands … experience with containerised ML pipelines, GPUs, and modern CI/CD practices. #J-18808-Ljbffr ...