101 to 117 of 117 Machine Learning Jobs in Oxfordshire

and large-scale compute.AI is at the heart of how EIT tackles humanity's most pressing and enduring challenges. Our mission is to harness state-of-the-art statistical machine learning to 10x the impact of EIT's programmes and discover novel AI approaches that lead to 100x impact in the future. Job Summary: You will play a More ❯

5+ years of experience in AI/computer vision Strong background in detection, localisation, and sensor fusion Hands-on experience with embedded/edge computing Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow) Experience in defence, aerospace, or other high-stakes, regulated environments British national or dual national (UK passport holder) eligible for SC Clearance Senior Computer Vision Engineer More ❯

5+ years of experience in AI/computer vision Strong background in detection, localisation, and sensor fusion Hands-on experience with embedded/edge computing Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow) Experience in defence, aerospace, or other high-stakes, regulated environments British national or dual national (UK passport holder) eligible for SC Clearance Senior Computer Vision Engineer More ❯

owners. Autonomous work style within strict deadlines. Proficiency with MS Office, Teams, SharePoint, Excel, Visio, PowerPoint. Desirable: Cloud computing experience (MS365, MS Azure). Data platform experience. AI/ML experience. Knowledge of Lean, SDLC, Kanban, Design Thinking. Experience in the public sector or regulated industries. Travel is minimal but required to engage with stakeholders and run workshops. NB: Only More ❯

Social network you want to login/join with: Principal ADMET Scientist - modelling, ML engineer | Cheminformatics | Series A - Drug discovery B2B Platform | Fully Remote, EU | £ 700-1,200 per day, Outside IR35 | 6-12 months Contract Length, oxford district col-narrow-left Client: Location: oxford district, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job … Views: 1 Posted: 04.06.2025 Expiry Date: 19.07.2025 col-wide Job Description: Principal ADMET Scientist - modelling, ML engineer | Cheminformatics | Series A - Drug discovery B2B Platform | Fully Remote, EU | £ 700-1,200 per day, Outside IR35 | 6-12 months Contract Length The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on ADMET … modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine More ❯

and an ambitious roadmap to tackle some of humanity’s biggest problems - is building a new tech team in Oxford. They’re quietly assembling an unbelievable team of Applied ML experts, researchers, and technologists, and now they need a Product Manager to help shape what that future looks like. They’re looking to double in size this year so this … how cutting-edge AI can accelerate impact across these domains, you’ll be right at home here. What you’ll do: Own and define product strategy for AI/ML tools supporting multi-disciplinary science and tech programmes Work directly with top-tier technical teams (Data Science, ML Ops) and programme leads to build tools that matter Translate wickedly complex … decisions align with impact Communicate like a pro-up, down, and sideways. You’ll brief stakeholders from engineers to execs What we’re looking for: Experience building AI/ML or software products, ideally in one or more of: HealthTech, ClimateTech, AgTech, FinTech, Energy, GeoTech Strong grasp of research/scientific concepts, even if you’re not a published academic More ❯

delivery. Mentor teams and lead technical design and decision-making processes. Experience/Skills Required: Proven presales experience delivering technical and commercial solutions. Expertise in AI (e.g., language models, machine learning, GPU clustering), cloud, and managed services. Strong technical design, project governance, and ITIL methodology knowledge. Excellent communication, presentation, and stakeholder management skills. Ability to lead workshops, influence More ❯

Engineer in the Core Technology team, I am involved in building data access layers, business logic and user interfaces. This type of role allows me to apply data science, machine learning and modern software development practices, as well as a keen interest in genomic data analysis. Genomics has provided me with great opportunities to learn, working with highly More ❯

and large-scale compute.AI is at the heart of how EIT tackles humanity's most pressing and enduring challenges. Our mission is to harness state-of-the-art statistical machine learning to 10x the impact of EIT’s programmes and discover novel AI approaches that lead to 100x impact in the future. Job Summary: You will play a More ❯

in a growing healthcare organisation supporting over 110,000 clients annually. The Role *Deep understanding of software development, IT infrastructure, DevOps, Agile, and Scrum practices, with experience in AI, ML, RPA, UX, design, end-user testing, and requirements gathering. *Ability to analyse complex problems, devise solutions, and make informed decisions under pressure. *Identify risks, implement mitigation strategies, and ensure projects More ❯

configuration, custom workflows, dashboards and reporting. Demonstrated success in managing multi-disciplinary teams and balancing competing priorities under pressure. Clear understanding of AI development cycles and familiarity with data, ML, or engineering workflows. Experience working within fast-paced, agile environments – ideally in start-ups or scale-ups. Domain experience in healthcare, energy, or sustainability is highly advantageous. This role is More ❯

configuration, custom workflows, dashboards and reporting. Demonstrated success in managing multi-disciplinary teams and balancing competing priorities under pressure. Clear understanding of AI development cycles and familiarity with data, ML, or engineering workflows. Experience working within fast-paced, agile environments – ideally in start-ups or scale-ups. Domain experience in healthcare, energy, or sustainability is highly advantageous. This role is More ❯

Postdoc at Oxford: Machine Learning & Global Health Date: Jan 11, 2023 We are hiring a postdoctoral researcher to join my group in the Department of Computer Science at Oxford, working with the Machine Learning & Global Health network on machine learning applications for public policy and global health. This position is funded by EPSRC. For … more details, see this link . The role involves leading research in computational statistics and machine learning, with the goal of making a tangible impact by collaborating with governments, NGOs, and international organizations. Recent publications from the group include: List of publications or specify if unavailable If you have any questions, please contact me directly or reach out … to members of the Machine Learning & Global Health Network . More ❯

General Theory for Big Bayes" and Grenoble IDEX. Interested applicants should write to us with: a letter of interest, CV, and should require two recommendation letters. Context Bayesian deep learning brings together two of the most important machine learning paradigms: Bayesian inference and deep learning. On the one hand, Bayesian learning provides a theoretically sound framework … to formalise the estimation of the architecture and the parameters of deep neural network models. On the other hand, deep learning offers new tools in Bayesian modelling, e.g. to learn flexible nonparametric priors or computationally efficient posterior distribution approximations. State of the art The field of machine learning has recently been much impacted by deep learning. Deep … for their many parameters to be accurately estimated. Bayesian statistics offers a theoretically well-grounded framework to reason about uncertainty, and it is one of the cornerstones of modern machine learning. At the same time, the theory at the basis of deep neural networks is not yet very well understood and its grounds must be laid out. Although the More ❯

and the latest advances in technology, paves the way for commercially viable fusion power plants. What's more, our work in stellarator optimization, powered by cutting-edge computation and machine learning, is propelling us into uncharted territories of fusion technology. New higher performance design points are unlocked by high temperature superconducting magnets. To fully grasp this huge opportunity More ❯

sales, including 3+ years in a leadership or regional role Deep familiarity with consultative sales processes and complex deal structures Experience in advanced technologies (quantum computing, HPC, AI/ML, or similar) is highly preferred Strong network in tech, government, or research sectors within your region Comfortable in startup or scale-up environments with fast iteration cycles #J-18808-Ljbffr More ❯

forming a unique industry/academic partnership. The aim of the Institute is to improve tools in, and knowledge from, genetics, genomics, molecular and single cell biology, spatial imaging, machine learning and novel methods of data handling to study the pattern of diseases in new ways. Within this role, you will be responsible for conducting processing and detailed More ❯