51 to 75 of 393 Neural Network Jobs in England

to experience) Good background in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with Deep Learning techniques (e.g. Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.) Familiarity with PyTorch , TensorFlow , JAX or similar frameworks Strong coding abilities in Python and/or C++ Preferred Qualifications … Generative AI Reinforcement Learning LLMs and Natural Language Processing Computational geometry and geometric methods (e.g. shape analysis, topology, differential geometry , discrete geometry , functional mapping, geometric deep learning, graph neural networks) Multi-modal deep learning and/or information retrieval Architecture, Construction, Manufacturing, Media & Entertainment or other Autodesk domains Salary transparency: Salary is one part of Autodesk's competitive More ❯

to experience) Good background in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with Deep Learning techniques (e.g. Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.) Familiarity with PyTorch , TensorFlow , JAX or similar frameworks Strong coding abilities in Python and/or C++ Preferred Qualifications … Generative AI Reinforcement Learning LLMs and Natural Language Processing Computational geometry and geometric methods (e.g. shape analysis, topology, differential geometry , discrete geometry , functional mapping, geometric deep learning, graph neural networks) Multi-modal deep learning and/or information retrieval Architecture, Construction, Manufacturing, Media & Entertainment or other Autodesk domains Learn More About Autodesk Welcome to Autodesk! Amazing things are More ❯

science concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning algorithms to analyze historical data and identify patterns. Models such as regression analysis, neural networks, or ensemble methods can predict ETAs more accurately by considering various factors like traffic conditions, weather, route efficiency, and historical performance. 2. Real-Time Data Integration: Incorporate real More ❯

leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture Experience with graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with biological ontologies Experience with complex More ❯

Accountability Customer Focus Who you are You will need to be well-versed in various machine learning techniques, including supervised, unsupervised, and semi-supervised learning, as well as neural networks, support vector machines (SVM), tree-based methods, and deep learning algorithms. Knowledge in natural language understanding and generative AI will be essential. The role requires proficiency in MLOps More ❯

Experience with uncertainty quantification, active learning and Bayesian Optimization Experience implementing, evaluating, and hyperparameter tuning small and large supervised models in a Bayesian Optimization context (Gaussian processes, Bayesian Neural Networks) on small and large datasets. Strong experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in Python data science ecosystem (Numpy, SciPy More ❯

engineering, mathematics, physics, statistics Experience of data science in finance, insurance or Ecommerce is an advantage but not required Experience of deployment in a cloud environment Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas Experience with API development SQL experience Software engineering experience DevOps/MLOps experience Good working understanding of CI/CD Diversity More ❯

world problems; Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar; Experience with multi-GPU and distributed training at scale More ❯

trusted source such as Oracle Corporation or Microsoft would be a bonus. Experience: Experience in applying Artificial Intelligence in practical systems Experience in Machine Learning, NLP, Deep Learning, Neural Networks and data processing libraries (Tensorflow, Sci-kit learn, Pandas, Scipy, Numpy – at least three or more) Experience in Data mining, Data warehousing, ETL Experience in handling large volumes More ❯

world problems; Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar; Experience with multi-GPU and distributed training at scale More ❯

ideally working with data engineering. Proficiency in statistical analysis, machine learning, and data mining techniques. A good understanding of key machine learning models, including Gradient Boosting Machines (GBMs), Neural Networks and Large language models (LLMs). Hands-on experience with popular machine learning libraries such as Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Knowledge of AWS products and More ❯

leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture. Experience with graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof. This is complemented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with biological ontologies. Experience with complex More ❯

via APIs Familiarity with data visualization tools Knowledge of locating, assessing and integrating third party data-sets Experience with machine learning techniques and libraries (e.g., regression, classification, clustering, neural networks). Solid understanding of AI concepts, including supervised and unsupervised learning. Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure) Education and Knowledge Bachelor's or Master's More ❯

equivalent qualification, or other evidence of equivalent knowledge. Professional or research experience in some of the following: ML/NLP tools like PyTorch, Scikit-learn, Transformer architecture, and Neural Networks. Coding and software engineering in mainstream programming languages, such as Python. Statistical packages for data manipulation and in the development of predictive and prescriptive models (e.g., R, SAS More ❯

II, Machine Learning (ThousandEyes) Location: London, United Kingdom Who We Are Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don't own. Powered by AI and an unmatched set of cloud, internet, and enterprise network telemetry data, ThousandEyes enables IT teams to proactively … in building and evaluating ML models and delivering large-scale ML products. MS or PhD in a relevant field. Proficient in crafting machine learning models, your expertise spans neural networks including transformer models, Large Language Models, decision trees, and other traditional machine learning models, translating conceptual ideas into actual solutions. Fluent in some of these machine learning frameworks More ❯

Social network you want to login/join with: Location: Bristol | Hybrid – 3 days WFH a week Role Type: Permanent Salary: As above, depending on experience About the Client: Based in Bristol, the client is a dynamic data science and technology company. Acquired by the biggest & most influential player in their sphere in 2020, they retain their independent identity … programming and data handling skills, particularly in Python or similar languages. Proven experience in developing data science solutions from proof of concept to implementation. Expertise in deep learning, neural networks, and working with unstructured data (e.g., text, images, video). Excellent communication and stakeholder management skills. Experience leading teams in a data/data science setting. Experience with More ❯

field; or Master’s degree with 2+ years of relevant industry experience; or Bachelor’s degree with 4+ years of relevant industry experience. Strong expertise in deep learning, neural networks, and generative models (GANs, diffusion models). Practical experience with modern machine learning frameworks (e.g., PyTorch, TensorFlow). Advanced programming skills in Python . Strong problem-solving, analytical More ❯

field; or Master’s degree with 2+ years of relevant industry experience; or Bachelor’s degree with 4+ years of relevant industry experience. Strong expertise in deep learning, neural networks, and generative models (GANs, diffusion models). Practical experience with modern machine learning frameworks (e.g., PyTorch, TensorFlow). Advanced programming skills in Python . Strong problem-solving, analytical More ❯

Big Data, AWS, or Cloud Services • Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or Code-gen • Experience with Deep Learning: C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm, Compiler, CPU, CUDA, Nvidia, TensorRT, TPU, Cluster Management, High Performance Computing, or Optimization Amazon is an equal opportunities employer. We believe passionately that employing a More ❯

and implement artificial intelligence (AI) models and algorithms for various applications; Work on a broad set of tasks encompassing various forms of machine intelligence (e.g., machine learning, algorithms, neural networks, computer vision, robotics) to develop AI models for specific applications; Train AI models using various algorithms and techniques, optimizing for accuracy, efficiency, and interpretability; Deploy AI solutions into More ❯

ML Engineering Expertise : Experience building and deploying scalable ML data pipelines and optimizing and benchmarking deep learning models for performance. Experience with advanced model architectures such as graph neural networks (GNNs), BERT, or variational autoencoders (VAEs). Bio AI interest: Experience with data structures and methods for working with sparse, raw single-cell sequencing dataand interrogating processed datasets More ❯

engineering, mathematics, physics, statistics Experience of data science in finance, insurance or Ecommerce is an advantage but not required Experience of deployment in a cloud environment Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas Experience with API development SQL experience Software engineering experience DevOps/MLOps experience Good working understanding of CI/CD If More ❯

MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Expert in Python, R, SQL and a range of ML techniques (e.g., random forests, neural nets, reinforcement learning) Track record of delivering high-impact AI projects from concept to production Strong communication skills – able to translate complex insights into business value Passionate about innovation More ❯

Social network you want to login/join with: Audio AI & Digital Signal Processing Engineer, exeter col-narrow-left Client: Blue Signal Search Location: exeter, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 5 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: Title: Audio AI & Digital Signal Processing Engineer Company Overview … problem-solving skills with the ability to implement robust, efficient, and scalable solutions. Excellent communication and collaboration skills in cross-functional environments. Preferred Experience: Expertise in neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure More ❯

Social network you want to login/join with: Audio AI & Digital Signal Processing Engineer, doncaster col-narrow-left Client: Blue Signal Search Location: doncaster, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Title: Audio AI & Digital Signal Processing Engineer Company Overview … problem-solving skills with the ability to implement robust, efficient, and scalable solutions. Excellent communication and collaboration skills in cross-functional environments. Preferred Experience: Expertise in neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure More ❯