26 to 33 of 33 Graph Analytics Jobs in the UK

Описание JPMorgan Chase provides financial services, including strategic advice and products to corporations, governments, wealthy individuals, and institutional investors. Its Chief Data & Analytics Office supports the firm’s data and analytics work, while the Machine Learning Center of Excellence develops and shares machine learning solutions for business problems. … экстремистской и запрещена на территории РФ Задачи Develop state-of-the-art machine learning models for real-world problems, including NLP, speech recognition and analytics, time-series predictions, and recommendation systems Collaborate with Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management teams to deploy solutions into production ...

media types. The agent work is the centrepiece but not the whole job. In a single quarter the work spans agent orchestration, retrieval, graph analytics, and long-running streaming pipelines, alongside the services and databases underneath them. You will own well-defined features and components … rather than needing prior expertise in a specific one. Desirable Experience with retrieval systems and large-scale vector database performance (Elastic). Experience with graph or network analysis at scale. Experience building retrieval or analysis that works across multiple languages. Experience with infrastructure as code, streaming pipelines, and search ...

Capgemini is seeking an AI Data Scientist to apply data science, ML, and graph analytics to autonomous network operations. You will work with telemetry, topology, and service data to build KPI models, anomaly detection, and predictive analytics. Ideal candidates have strong Python, statistics, and BigQuery skills, plus experience ...

problems, helping others succeed and turning ambitious ideas into working software. Experience with any of the following would be an advantage: LLMs AI Agents Graph analytics Behavioural modelling Cyber security Network intelligence PyTorch XGBoost Our technology Python SQL AWS PyTorch Scikit-learn XGBoost Docker Kubernetes Claude Code GitHub ...

senior engineers, the data team, and an ML-focused group who train and evaluate models we use. You will work on agent orchestration, retrieval, graph analytics, and long-running streaming pipelines, shipping production services and APIs with latency, cost, and reliability in mind. #J-18808-Ljbffr ...

demos, templates, or sharing best practices that contribute to team enablement. Desired Skills Strong expertise in data-driven, analytical solutions such as Entity Resolution, Graph Analytics, and MDM. Domain knowledge in UK public sector areas such as tax and revenue, social security, or home affairs is highly desirable. ...

highly strategic technical role focused on CPU architecture, ISA development and hardware/software co-design for emerging workloads including Generative AI, LLMs, graph analytics and confidential computing . Key Responsibilities Lead architecture and pathfinding for next-generation CPU microarchitectures. Define and evolve ISA extensions and innovative compute ...

solutions and decision tools that assist them in evaluating and predicting risk and enhancing fraud detection. We use the power of data and advanced analytics to help our customers make better timelier decisions. Our innovative solutions enable our clients to manage risks like identity theft, fraud, money laundering … engage online without fear of being de-frauded. About the Team LexisNexis® Risk Solutions helps organizations make better decisions by leveraging data, advanced analytics, and technology to evaluate and predict risk, detect fraud, and combat financial crime. Our solutions empower customers across banking, financial services, and e-commerce ...