7 of 7 Permanent Publishing Jobs in Cambridge

information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional ...

large-scale data processing Experience with MLOps tools (CI/CD for ML, experiment tracking, model versioning) A background in applied research or publishing Familiarity with retrieval systems, embeddings or ranking models Ideally you'll have a maths or computer science research background with a focus on developing new algorithms ...

enterprise technology strategy Experience building platform engineering or internal developer experience capabilitiesExperience scaling data and AI ecosystems across a large enterprise External speaking, publishing or industry engagement Why Join Us? At AstraZeneca, we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries ...

platforms or enterprise technology strategyExperience building platform engineering or internal developer experience capabilitiesExperience scaling data and AI ecosystems across a large enterprise External speaking, publishing or industry engagementWhy Join Us? At AstraZeneca, we're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries ...

trustworthy AI, funded for two years. You will develop and evaluate methods at the frontier of trustworthy AI, validating them with domain experts and publishing results at leading venues. Applicants should have completed, or be near completion of, a PhD in Computer Science, Information Engineering, Statistics, Machine Learning ...

developing and evaluating methods at the frontier of trustworthy AI, validating them on real-world problems in partnership with domain experts and stakeholders, and publishing and presenting results at leading venues in machine learning (such as NeurIPS, ICML and ICLR), AI ethics and society (such as FAccT and AIES ...

scaling AI teams or shipping AI products in regulated industries Exposure to or understanding of biological assays, phenotyping, or drug discovery Track record of publishing or speaking at major AI/ML conferences #J-18808-Ljbffr ...