126 to 133 of 133 Permanent Deep Learning Jobs

Amazon Development Centre (London) Limited is seeking an Applied Scientist to optimize ad matching in programmatic advertisements. Responsibilities include designing deep learning models and improving their performance. Candidates should have strong programming skills in Java, C++, or Python along with a relevant postgraduate degree. Join Amazon's team … impact multi-billion dollar businesses with innovative solutions and work in a fast-paced environment, leveraging your expertise in machine learning and data processing. #J-18808-Ljbffr ...

candidates: Hire and mentor a small team of exceptional engineers and researchers Qualifications You've written and shipped high-performance or SOTA CUDA kernels Deep understanding of mixed precision, quantisation (INT4, INT8, FP8, MXFP4, block-scaled formats), kernel fusion, distributed computing strategies (TP, PP, CP) You've made deliberate … what makes variation operators work on hard combinatorial problems You're familiar with new or esoteric technical methods such as Neural Algorithmic Reasoning, Geometric Deep Learning, Category Theory, Neuroevolution, Megakernels, or the work of François Chollet, Kenneth Stanley, Jeff Clune, Jurgen Schmidhuber, David Ha, and Christian Szegedy Bonus ...

Data Scientist (NLP Deep Learning), Remote, UK About Revolut People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products including spending, saving, investing, exchanging, travelling, and more help ...

conducting experiments, collaborating with top-tier academic partners, and publishing research findings. Candidates should have a PhD in a relevant field and experience with deep learning frameworks. The position offers competitive benefits and a hybrid work model, fostering a collaborative environment for impactful AI solutions. #J-18808-Ljbffr ...

will collaborate with Algo Developers to design, develop, and maintain sophisticated systems that power trading strategies. You’ll also support the development of large deep learning models and optimize workflows for greater effectiveness. A Bachelor’s or Master’s degree in Computer Science or related field is essential ...

start‐up mentality every step of the way – meaning you'll have the opportunity to make a real impact. As a Lead Machine Learning Scientist at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat‐structure organization. Your responsibilities are to deliver … expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Our Machine Learning team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people ...

video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead … successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring ...

other core computer vision tasks. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of hands-on experience in Computer Vision and Deep Learning. Expert … level proficiency in Python and deep expertise with PyTorch. Strong practical experience with OpenCV for image and video processing tasks. Proven experience in training, fine-tuning, and deploying object detection models, particularly within the YOLO family. Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks ...