26 to 50 of 80 Machine Learning Jobs in Oxford

gauge the validity of synthetic results; developing LLM-guided adaptive experimental designs to enable the implementation of optimal treatments on-the-fly; implementing representation learning and text-as-data pipelines, employing learned representations of complex data for downstream (econometric) models; working closely with team members (data scientists, software engineers … faculty) to adapt code used for data wrangling, machine learning, and optimisation to the specific needs of projects; and contributing to the workshops and conference programme through which the platform reaches the wider research community. The successful candidate will hold an advanced degree in Computer Science, Engineering, Statistics ...

Learning Engineers for hybrid, fixed-term roles through end of 2027, with potential permanence. You will design, deploy and operate privacy-focused ML systems within a multidisciplinary team, contributing to the CODAS project and related initiatives at AND-E Lab. Ideal candidates have 5+ years in ML/ ...

engineering standards. Your Responsibilities: Design and build robust services(APIs,CLI toolsand software modules)that power scientific applications and products. Bridge diverse components, integrating ML inference servers, hardware interfaces, and data pipelines into cohesive systems, while ensuring high availability and low latency. Own the full production path—from architectural design … implementing and deploying robust, scalable distributed systems in production. Demonstrated experience designing, managing, and orchestrating complex systems involving scalable data infrastructure, hardware interfaces, and machine learning models. Expertise in defining and exposing functionality via clean, well-documented APIs (e.g., REST, gRPC). Proven experience implementing and managing robust ...

hiring a Machine Learning Scientist to help build a privacy‐preserving generative AI ecosystem for regulated deployment. You’ll work on ML services, data pipelines and live deployments, collaborating with CODAS and partners to translate research into dependable, scalable systems. We value a strong ML research background, Python ...

probabilistic machine learning research within the Bayesian Governance Lab and guide research assistants and students. The role requires a PhD in ML or statistics with strong publication record and expertise in Bayesian ML, Gaussian processes, sequential inference or Bayesian optimisation. #J-18808-Ljbffr ...

data analysis and database engineering, including recruitment, objectives, performance and career development. Build a high-performing, connected data function by creating stretch opportunities, encouraging learning across disciplines and setting a culture of accountability, psychological safety and continuous improvement. Own and deliver the roadmap across the Databricks platform, analytics capability … data quality frameworks. Experience managing a multi-disciplinary team where the disciplines do not naturally talk to each other. Awareness of how AI and machine learning workloads change the demands placed on a data platform. What to expect next: 1st stage: Introduction call with a member ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection … delegate tasks to analysts What You Will Bring 5+ years of experience leading incident response investigations involving ransomware Experience leading BEC investigations Continuously learning and staying informed of the changing threat landscape Proven track record of successful neutralization and remediation of ransomware threats Excellent understanding of the Incident Response ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection ...

working with senior stakeholders. A product development mindset, with ability to identify opportunities in a complex technical space. Technical Good understanding of AI and machine learning concepts. Ability to understand emerging AI technologies quickly. Comfortable discussing technical topics with engineers and researchers. Able to translate technical detail into ...

working with senior stakeholders. A product development mindset, with ability to identify opportunities in a complex technical space. Technical Good understanding of AI and machine learning concepts. Ability to understand emerging AI technologies quickly. Comfortable discussing technical topics with engineers and researchers. Able to translate technical detail into ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection ...

Aioi Nissay Dowa Europe Limited is hiring a Lead Machine Learning Engineer to drive technical and delivery leadership across ML projects in the R&D Lab. You will mentor engineers, shape best practices, and contribute hands-on on select projects while coordinating multiple engagements. The role includes overseeing … solution design, risks, and quality across teams, with engagement in pre-sales and broader ML initiatives. #J-18808-Ljbffr ...

Assistant in Statistical Machine Learning for Genomics to join the Palamara Group, funded by the ERC. You will develop scalable statistical and ML methods for large-scale genomic and health data and contribute to high-impact publications. Applicants should hold or be close to completing … quantitative field, with strong ML and statistics foundations and experience with reproducible research software. #J-18808-Ljbffr ...

usable by the broader astronomy and scientific communities, and by the general public. This is a high-impact role at the frontier of astronomy, machine learning, and large-scale scientific computing. We offer RSEs the potential to advance their career and to make a significant contribution ...

translate business needs into clear requirements for technical teams and communicate technical capabilities and constraints to non-technical stakeholders. An awareness of AI and machine learning concepts and an interest in developing knowledge of emerging AI technologies. (The role does not require hands-on model development, data science ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection ...

regulated industry. Experience working on publicly funded, grant funded, consortium or multi partner programmes with formal reporting, governance or evidence requirements. Experience delivering AI, machine learning, data platform, privacy, cyber security or other research and development initiatives. Familiarity with formal programme reporting and assurance requirements, particularly where delivery ...

Perspectum Diagnostics Ltd. is seeking a Data Scientist to develop and scale machine learning methods for biomedical data across the organisation. You will maintain deep learning models behind Perspectum’s automated image analysis capabilities and collaborate with research teams to run core algorithms at scale. The role ...

Autonomous Systems work within a wider project, AutoLabs. This is where EIT automates the scientific discovery loop: experimental design, execution, analysis, and the learning that feeds back into the next experiment and the lab itself. The AutoLabs data platform captures, stores and serves high-frequency multimodal data. It spans … edge-to-cloud stack, from edge devices and MQTT brokers through to Kafka topics, cloud storage, and the APIs that serve scientists and ML pipelines. Turn streams of robot state, instrument output and video into structured database transactions: which arm did what to which sample, when, and what came out. ...

hybrid role combining in-office collaboration with flexible home working. You will design and implement automated tests across cloud software, data pipelines and machine-learning components, and drive verification strategies with a strong emphasis on ownership and automation. You will work closely with software engineers, data scientists ...