15 of 15 Deep Learning Jobs in the East of England

model systems (cellular assays, co-cultures, organoids, tissue models).To grow this capability, we are seeking a seasoned, innovative, and collaborative data scientist with deep expertise in AI-enabled image analysis to join the Data Science team in Discovery Sciences (DSc) at Novartis Biomedical Research, Cambridge, MA. This role … combines hands-on delivery of robust image analysis workflows with advanced AI method development, including biomedical image segmentation, representation learning, foundation models, and scalable deployment. The successful candidate will embed within the research community as the team's scientific lead for imaging-AI, partnering directly with wet-lab scientists ...

offices in Cambridge and London, you’ll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About the role As Qureight scales its AI-driven imaging platform … expands its work with pharmaceutical and clinical partners, we are building the machine learning research capability required to develop robust, clinically meaningful models for 3D medical imaging. We are looking for a Senior Machine Learning Scientist to research, develop and specialise state-of-the-art deep learning ...

level Machine Learning Scientist is needed to join this amazing research team based near Cambridge. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role … designing, implementing, and advancing cutting-edge methods in: Reinforcement Learning (RL) Large Language Models (LLMs) Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required ...

adopt best practices for ML-ready data. Contribute to scientific publications and present results at internal and external scientific conferences. Requirements: Ph.D. in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field. Strong experience in one or more of the following areas: generative AI, biomedical foundation models … geometric deep learning, multi-modal learning, and large-scale knowledge graphs. Excellent programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies. Practical experience across ML and LLM software stack, including feature engineering, model development ...

develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. This is your chance to be part of something outstandingly innovative! What … including IR design, optimization passes, or code generation. Experience with LLVM and/or MLIR, including building custom passes, dialects, or integrations. Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX.Solid understanding of parallel and heterogeneous compute ...

clinical, and other relevant data modalities to support target and biomarker portfolios. Translate scientific questions into computational strategies, selecting fit-for-purpose statistical, machine learning, AI, and bioinformatics approaches. Operationalize responsible use of generative and/or agentic AI tools in drug discovery workflows, ensuring scientific rigor, data governance … drug discovery, translational research, biotechnology, pharmaceutical R&D, technology, or academic research. Experience leading or managing internal data scientists, computational biologists, bioinformaticians, or machine learning scientists in a matrix management environment as well as external collaboratorsDemonstrated ability to lead complex, hypothesis-driven scientific analyses using biological, multi-omics ...

Staff Machine Learning Engineer - News, Books, and Stocks Team Cambridge, Massachusetts, United States Software and Services In a time where the news and book media landscapes are changing by the day, Apple News and Apple Books stand as champions of quality content, expert curation, user privacy, and the judicious … machine learning. Our lively and brilliant distributed team consists of client and machine learning engineers who embody Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our careers! Our team's outstanding retention rate speaks to our strong culture of respect ...

Branch) As a Senior AI/ML Consultant in AWS Professional Services, you will lead the delivery of cutting-edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive innovation in Artificial Intelligence and Machine Learning, shape technical strategy, and serve as a trusted … curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth ...

environment. Experience preparing written scientific reports and delivering oral presentations. Desirable Skills PhD in relevant disciplines or equivalent experience (e.Software Engineering,Computational Biology,Machine Learning, Data Science, or related fields). Experience with advanced deep learning model families (graph neural networks, transformers, probabilistic models) applied to biological … setting, with knowledge of discovery-stage decision-making. What You Will Gain You willoperateat thecutting edgeof oncology discovery, combining AI and data engineering with deep immunology to accelerate target discovery, mechanism-of-actionstudiesand candidate selection.The roleprovidesan opportunity to applycutting-edgeAI approaches to large-scale biological and translational datasets, working ...

Experience preparing written scientific reports and delivering oral presentations. Desirable Skills PhD in relevant disciplines or equivalent experience (e.g. Software Engineering, Computational Biology, Machine Learning, Data Science, or related fields). Experience with advanced deep learning model families (graph neural networks, transformers, probabilistic models) applied to biological … discovery‐stage decision‐making. What You Will Gain You will operate at the cutting edge of oncology discovery, combining AI and data engineering with deep immunology to accelerate target discovery, mechanism‐of‐action studies and candidate selection. The role provides an opportunity to apply cutting‐edge AI approaches ...

Experience preparing written scientific reports and delivering oral presentations. Desirable Skills PhD in relevant disciplines or equivalent experience (e.g. Software Engineering, Computational Biology, Machine Learning, Data Science, or related fields). Experience with advanced deep learning model families (graph neural networks, transformers, probabilistic models) applied to biological … discovery-stage decision-making. What You Will Gain You will operate at the cutting edge of oncology discovery, combining AI and data engineering with deep immunology to accelerate target discovery, mechanism-of-action studies and candidate selection. The role provides an opportunity to apply cutting-edge AI approaches ...

core software stack into research projects, and help researchers amplify their impact through publications, conference presentations, and technical content. Advocate for accelerated computing and Deep Learning, and deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA's platforms, and mentor power users to become NVIDIA champions. Track … emerging research trends and turn gaps between researcher needs and NVIDIA's o erings into prototypical solutions and direct feedback to NVIDIA Engineering. Maintain deep expertise in your domain while staying versatile across NVIDIA's full platform: GPUs, CPUs, networking, and softwareWhat we need to see: A graduate degree ...

invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars ...

Qureight Ltd seeks a Senior Machine Learning Scientist to research, develop and specialise state-of-the-art deep learning models for volumetric CT data, focusing on foundation-model pre-training, supervised model specialisation, segmentation, classification and biomarker extraction pipelines that support clinical-trial and real-world evidence … programmes. You will work within the Machine Learning function alongside ML Engineers, Data Scientists and Imaging Specialists to translate research ideas #J-18808-Ljbffr ...

accelerate discovery! About Turbine Turbine is building Virtual Assays—AI-powered predictive models that can run biological experiments in silico. We're combining deep learning with a systematic approach to biology to enable faster, cheaper, more extensive testing. Our team is small, focused, and composed of researchers … intersection of AI, biology, and product; you don't need to be a computational biologist, but you must be curious and capable of learning the domain Nice to Have Prior experience scaling AI teams or shipping AI products in regulated industries Exposure to or understanding of biological assays, phenotyping ...