7 of 7 Remote PyTorch Jobs in Cambridgeshire

Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit-learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in More ❯

Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit-learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in More ❯

or a related field Proficiency with a data focused coding language such as Python, R or SQL Experience using ML frameworks including TensorFlow and PyTorch The ability to work individually and within a team Strong written and verbal communication skills and the ability to explain complex computer science theories to More ❯

AI methods and optimization of machine learning models. Proficiency in programming languages such as Python, R, C++, or Java, and with AI frameworks including PyTorch, and OpenCV. Extensive experience with traditional and modern computer vision techniques, including object detection (YOLO, SSD, Faster R-CNN), image segmentation (U-Net, Mask R More ❯

for an experienced and talented Senior AI Scientist. Experience Required: Deep Learning experience, preferably with LLMs & NLP. Strong knowledge and experience with Python/Pytorch, Tensorflow and other data science libraries. Experienced with cloud platforms, e.g AWS or GCP is considered a plus. The role is hybrid in Cambridge, UK More ❯

experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow)Solid grasp of ML techniques; independent and team-oriented mindset Preferred : Experience in LLMs, reinforcement learning, or chip designFamiliarity with JAX and optimization frameworks More ❯

e.g., computer science, chemistry, physics, engineering). Strong background in machine learning, including deep learning and generative models. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Proficiency in Python and C++, with a collaborative mindset. Familiarity with protein structure modeling, co-folding, or related methods; knowledge of organic More ❯