51 to 75 of 175 Neural Network Jobs in England

Agentic RAG systems is strong requirement.Experience with AI agent management frameworks such as LangChain, or similar tools.Experience with advanced algorithms in deep learning, neural networks, reinforcement learning, and transfer learning.Familiarity with traditional machine learning algorithms such as random forests, SVM, logistic regression, and Bayesian modelling for model building ...

working experience. Programming Language: Proficiency in Python. Solid understanding of data structures and algorithms. Proficient in Machine Learning, with a solid understanding of neural networks and the Transformer architecture. Familiar with foundational NLP tasks such as tokenization, Named Entity Recognition, and sentiment analysis. Experience with modern approaches built ...

Recruitment Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia, Natural Language Processing, Neural Networks, NLP, Speech Processing, United Kingdom #J-18808-Ljbffr ...

race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Tagged as: Academia, Natural Language Processing, Neural Networks, NLP, Speech Processing, United Kingdom #J-18808-Ljbffr ...

Text Analytics/Speech processing/Software Engineer/Research/Researching/Journals/AI/Artificial Intelligence/Machine Vision/Neural Networks/Developer/Algorithm RedTech Recruitment Ltd focus on finding roles for people leaving academia entering industry. Even if the above role ...

humble and enthusiastic attitude. Preferred Qualifications, Capabilities and Skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc. Experience in deep neural networks and familiarity with the latest developments in related fields. Experience in LLM model fine‐tuning and continuous learning techniques. Experience in prompt engineering ...

Science, Engineering, or a related technical field, or equivalent practical experience. Preferred Skills Experience operating forecasting models in production, including gradient‐boosted methods, neural networks, and constraint‐based optimization solvers. Domain background in retail, supply chain, demand planning, or financial planning. Experience leading post‐acquisition platform integration ...

migrating research code into production code. Hands on experience in machine learning engineering, including deploying, monitoring, and maintaining ML models in production environments (Neural networks, Random forests etc.). Experience in financial services or insurance is an advantage but not required. Solid experience as a Python developer, ideally ...

plane-fitting (e.g., RANSAC, PnP) to achieve sub-centimetre overlay accuracy and eliminate tracking drift. Translate research papers into real-time algorithms, optimising neural networks and spatial pipelines for low-latency execution on mobile NPUs, DSPs, and GPUs. Build spatial foundations that deliver seamless on-device AR experiences ...

deep learning frameworks (TensorFlow, PyTorch) alongside hands‐on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings to map complex relations between travel entities (e.g., users, destinations, itineraries, points of interest ...

deep learning frameworks (TensorFlow, PyTorch) alongside hands‐on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings to map complex relations between travel entities (e.g., users, destinations, itineraries, points of interest ...

extract maximum value for our customers. We will trust you with: Design and implement the compiler for next‐generation AI accelerator architectures, enabling new network topologies while maximizing chip performance and energy efficiency. Collaborate cross‐functionally with SDK team members as well as algorithm, architecture, and hardware teams … feedback to hardware engineers to refine future architectural designs based on insights gained from compiler optimizations. Stay at the forefront of neural network compiler technologies, introducing innovative solutions and industry best practices to the team. What will you need to succeed: Proficiency in Python and C++ programming ...

scalable algorithmic solutions to hard problems from the ground up Strong Machine Learning and Statistics knowledge; both in classical models and neural-network-style models Strong Software Engineering fundamentals Enthusiasm to learn and contribute to a culture of learning Advantageous - PhD (in a highly quantitative field) What ...

team at Synoptix. The technology team specialises in applying AI to solve challenges within complex systems, with expertise spanning object detection, neural network resilience, AI assurance, and the development of synthetic data. Through bespoke research and development programmes the team delivers high-grade AI systems and services ...

other leading platforms. Data Science Expertise: Knowledge of data science fundamentals, solution lifecycles, and MLOps methodology. Generative AI Knowledge: Experience with LLMs, neural networks, and recommendation systems. Frameworks: TensorFlow, PyTorch, Hugging Face, OpenAI tools. Certifications: Cloud or AI architecture certifications are a plus. About SDG Group ...

applicationsExperience with model performance evaluation and predictive model optimisation for accuracy and efficiencyWhat could set you apartExperience with specific AI techniques, such as neural networks or natural language processing.Knowledge of the financial services industry.Contributions to open-source AI projects.Experience with data visualization tools.Passion for data science, data mining ...

applicationsExperience with model performance evaluation and predictive model optimisation for accuracy and efficiencyWhat could set you apartExperience with specific AI techniques, such as neural networks or natural language processing. Knowledge of the financial services industry. Contributions to open-source AI projects. Experience with data visualization tools. Passion ...

Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation in machine learning algorithms, neural networks, and emerging AI technologies including generative AI and multi‐modal systems. Oversee the implementation of MLOps pipelines, model monitoring, and automated deployment systems. ...

based certifications may be required depending upon region/BU requirements **What could set you apart*** Experience with specific AI techniques, such as neural networks or natural language processing.* Knowledge of the financial services industry.* Contributions to open-source AI projects.* Experience with data visualization tools.* Passion ...

Reporting and Analytical Analysis, Predictive Modeling, and Solution Architect Excellent understanding of machine learning techniques and algorithms, such as Tree Based Models, Neural Networks, etc. Experience with common data science toolkits, such as R, MatLab, Python etc. Excellence in at least one of these is highly desirable Experience ...

pursuing large-scale AI research projectsAre working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of researchView research and engineering as two sides of the same coin, and seek ...

large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek ...

Domain experience. You have worked in credit risk, lending, or customer lifetime value modelling. Non-linear methods. You have shipped gradient boosting or neural networks on tabular data in production. Bayesian methods. You have used hierarchical models, MCMC, or Bayesian updating in real work. Time series modelling. ...

applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ...

debuggers, oscilloscopes, spectrum analysers, signal generators, and logic analysers, and lab bring-up of custom boards. What makes you stand out Synchronised FPGA interconnect network within a scalable cluster approach. Demonstrated experience with implementing stochastic problems, optimisation algorithms, neural network, or artificial intelligence/machine learning ...