12 of 12 Neural Network Jobs in London

optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform ...

needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud ...

Generative AI (PhD) Responsibilities: Actively driving and participating in cutting edge research for 3D/4D scene synthesis Developing efficient deep neural network models for 2D/3D/video content generation Contributing research that can be applied to Meta VR/AR product development Together with ...

unstructured), large computing resources and a world class research platform. You will apply machine learning methods drawn from diverse areas such as neural networks, reinforcement learning, deep learning, non-convex optimisation, Bayesian non-parametrics, NLP and approximate inference. We read the latest publications in the field and discuss ...

within a Water/Hydrological Environment (e.g. environmental water quality, flood risk and mitigation, etc.) Prior experience with Deep Learning Neural Network Platforms Previous experience with Enterprise Linux Platforms Experience of leading/mentoring a team of developers If you are interested in the role of Senior ...

within a Water/Hydrological Environment (e.g. flood risk and mitigation, water quality testing, etc.) Prior experience with Deep Learning Neural Network Platforms Previous experience with Enterprise Linux Platforms Experience of leading/mentoring a team of developers If you are interested in the role of Senior ...

within a Water/Hydrological Environment (e.g. flood risk and mitigation, water quality testing, etc.) Prior experience with Deep Learning Neural Network Platforms Previous experience with Enterprise Linux Platforms Experience of leading/mentoring a team of developers If you are interested in the role of Senior ...

software products for use within a Water/Hydrological Environment (e.g. flood risk and mitigation, etc.) Prior experience with Deep Learning Neural Network Platforms Previous experience with Enterprise Linux Platforms Experience of leading/mentoring a team of developers If you are interested in the role ...

rivers, flood risk, etc.) Prior experience with some of the following methodologies:- Containerisation: Docker- MQTT, RESTful URL Data Integration- Deep Learning Neural Network Platforms Previous experience with Enterprise Linux Platforms Experience of leading/mentoring a team of developers If you are interested in the role ...

software products for use within a Water/Hydrological Environment (e.g. flood risk and mitigation, etc.) Prior experience with Deep Learning Neural Network Platforms Previous experience with Enterprise Linux Platforms Experience of leading/mentoring a team of developers If you are interested in the role ...

About us While others focus on scaling data-hungry neural networks, we’re building AI that understands the structures of thought , not just patterns in data. Symbolica is an AI research startup pioneering the application of category theory to enable logical reasoning in machines. We’re a well ...

Build scalable training pipelines for large-scale image-text datasets using discrete tokenisation (e.g. VQ-VAE, DALL·E-style encoders). Optimize deep neural networks for deployment on Neural Processing Units (NPUs) and cloud environments, maximizing efficiency and performance. Collaborate with cross-functional teams to integrate … engineers, fostering a collaborative and innovative research environment. Qualifications Experience deploying models to production or on-device environments. Experience optimizing models for Neural Processing Units (NPUs) or other hardware accelerators. Knowledge of quantization, pruning, and efficient fine-tuning techniques. Experience with prompt engineering, instruction tuning, and RLHF. Exposure ...