23 of 23 Permanent Neural Network Jobs in the UK

nanosatellite platforms Design and implement embedded AI/ML inference engines for real-time on-orbit decision making Develop and optimize neural network models for edge computing applications in space environments Integrate AI/ML capabilities into existing satellite firmware and control systems Conduct processor … static analysis tools Tools and Technologies: AI/ML Frameworks: TensorFlow Lite, PyTorch Mobile, ONNX Runtime, OpenVINO Edge AI Tools: TensorRT, Neural Network Compiler Stack (TVM), Glow GNU ARM Embedded Toolchain and specialized AI compiler toolchains GDB and AI-specific debugging tools for embedded inference engines Experience ...

team environment Nice to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques ...

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 ...

Data Annotation Potential Scope Field of Study Agent Task Specialty Machine Learning Model training/explanation, bias detection, evaluation metric analysis Deep Learning Neural net architecture design, backpropagation walkthroughs Natural Language Processing (NLP) Text classification, summarization, sentiment analysis Computer Vision Image labeling, object detection, image captioning MLOps/ ...

MuJoco, etc.). Experience in large scale training/understanding of modern model, data, expert, context parallel training techniques. Track record in Neural Networks inference optimization for Physical AI use cases Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive ...

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 ...

transforming research findings into functional business tools. Facilitate the progress and examination of ML models, involving both standard machine learning and neural network-focused models, as requested by R&D teams. Develop standardized, reusable workflows that can be applied across different projects and scientific areas. Collaborate with ...

ideally interpretation of biological (not medical) data from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar. Ideally use of machine learning, neural networks, particularly CNNs given the data involved, feature extraction and tracking. Familiarity with computer vision, cellular imaging, volumetric tiling, voxel imaging, 3D graphics (rendering), spherical ...

within a Water/Hydrological Environment (e.g. flood risk and mitigation, water quality, 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 Full ...

within a Water/Hydrological Environment (e.g. flood risk and mitigation, water quality, 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 Full ...

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. 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 ...

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 ...

very high-impact position in the team, and will be financially rewarded proportionally to your success About you: Highly numerate Experience with neural networks Comfortable with C++ (must) Experience with Python Work well to tight deadlines Top grades Experience managing experiments/mathematical or statistical research involving rapid ...

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 ...

structures (e.g. Bloom Filters). Experience using next generation machine learning techniques and tools, including Deep Neural Networks and TensorFlow. Exposure to Network Theory, especially social network analysis and graph diffusion analysis. Ability to build custom data visualisations, prototype browser based UX/ ...

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 ...