51 to 75 of 80 Machine Learning Jobs in Oxford

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

seek to create an AI scientist capable of reviewing scientific discovery, generating hypotheses, designing experiments, controlling laboratory workflows, and analysing results. By integrating advanced machine learning with robotic laboratory automation, experimental findings are rapidly fed back to the AI scientist, enabling increasingly accurate predictions and accelerating the pace ...

Synchronised FPGA interconnect network within a scalable cluster approach. Demonstrated experience with implementing stochastic problems, optimisation algorithms, neural network, or artificial intelligence/machine learning algorithms into hardware. Direct experience with the ASIC design flow: act as the critical bridge towards custom silicon by prototyping, emulating, and validating ...

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 ...

Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer‐based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep‐tech investors like Constructor Capital, IP Group, PhotonVentures ...

Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures ...

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 ...

command-line usage and basic scripting. Background in aerospace, defence, or service environments (e.g. RAF, Royal Navy, British Army). Familiarity with AI/ML-enabled navigation technologies, flight simulation software, or airborne camera systems. Programming experience in Python and C++. Experience using standard troubleshooting tools and electronic/mechanical ...

ensure models are biologically sound and capture the most important signals. Key Responsibilities Structure, curate, and transform large‐scale microbiology data for use in machine learning systems Define biologically grounded tasks, representations, and evaluation frameworks aligned with real biological signal Interrogate datasets, methods, and model outputs to identify … Background in software engineering Experience with microbiology and prokaryotic biology Experience with long- and short-read sequencing technologies Experience with foundation models or representation learning applied to biological data We offer the following salary and benefits: Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash ...

integrative data modalities. Applicants should have or be close to completing a PhD in computational neuroscience, AI, or related fields, with strong skills in machine learning, data integration, and quantitative #J-18808-Ljbffr ...

with the University of Lausanne and other partners, and requires strong Python and software engineering skills. The successful candidate will work across data wrangling, machine learning, and optimisation tasks, with opportunities to present at workshops and #J-18808-Ljbffr ...

keep complex programmes moving forward. Essential Skills & Experience Background in AI, medical imaging, computer vision or quantitative healthcare technology Experience developing or evaluating machine learning technologies Strong scientific and technical reasoning ability Experience translating research into practical solutions Ability to work effectively across multiple teams Strong written ...

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 ...

particular value when they can match their data engineering expertise with domain knowledge relevant to a project. We would value: Experience preparing data for ML: pre‐training, post‐training, and evaluations. Scientific background, with experience or qualifications in genomics, proteomics, or other related fields. Experience in bioinformatics ...

similar projects. Familiarity with video annotation and timeline-based labeling tools. Experience with frame-level or timecode-based annotation. Background in AI training, machine learning data preparation, or robotics is strongly preferred. #J-18808-Ljbffr ...

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 ...

researchers, software engineers, robotics specialists, and domain experts to drive practical deployment and publish impactful work. The role emphasizes building end-to-end ML pipelines, data curation, and rigorous evaluation to continuously improve model performance in real-world settings. #J-18808-Ljbffr ...

/drones, including flight controllers, sensors, and payload integration. Background in aerospace, defence, or service industries (RAF, Navy, Army). Familiarity with AI/ML-based navigation technology, flight simulation software, or camera systems. Programming knowledge in Python and C++ Experience with standard troubleshooting tools and diagnostic equipment. What ...

computational methods for translating metagenomic sequencing data into actionable results in a clinical or public health context. You will develop algorithms and AI/ML methods that are accurate and robust enough to be integrated into our infectious disease diagnostic product. You will report to the Lead Scientist in Computational … microbial genomics space. Key Responsibilities: Design, develop, and evaluate novel computational algorithms in areas such as taxonomic classification and antimicrobial resistance Develop ML/AI techniques to address real-world problems in the pathogen genomics space, in collaboration with scientists across EIT Validate and benchmark methods using public and internal ...

scope AI/agentic use cases, evaluate feasibility, and align stakeholders on priority and sequencing Work with technology teams (Salesforce, data engineering, AI/ML engineers) to produce detailed user stories and acceptance criteria that support development and QA, including for Agentforce agent builds and MCP server/tool integrations … familiarity with tools such as Jira, Confluence, Slack, Microsoft Office, and Microsoft Teams A genuine curiosity about AI and a habit of continuous learning — this space moves fast, and the role requires staying current Nice to Have Exposure to Salesforce Einstein, Copilot Studio, or comparable generative AI platform features ...

computer vision systems for the transformation pipeline, validation of phenotyping and automation tools, and performance optimization. Lead the data strategy and validation of predictive ML models to optimize transformation efficiency and regeneration success. Partner with AIR and data engineering teams to establish robust data pipelines for predictive modelling using multilayer … phenotyping and automation data in high‐throughput transformation pipelines. Provide scientific and project leadership to researchers and engineers in applied AI/ML and automation engineering within a matrix team structure. Co‐develop and manage project plans, timelines, and reporting frameworks to ensure delivery of technical milestones and progression towards ...