25 of 25 Graph Analytics Jobs in England

title: Product Owner - Graph Analytics Division: Data, Technology & Innovation (DTI) Department: Digital Intelligence Solutions Salary: National (Edinburgh and Leeds) ranging from £60,700 to £87,400 and London from £66,600 to £96,300 (salary offered will be based on skills and experience) This role is graded … surface insights for action through tools, dashboards and bespoke analysis. Role responsibilities You will lead the vision, strategy and performance of a complex graph analytics product spanning connected data, analytical services, application programming interfaces and user-facing tools with minimal supervision Own and communicate the product vision, strategy ...

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across … environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world's largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. ...

surface insights for action through tools, dashboards and bespoke analysis. Role responsibilities: You will lead the vision, strategy and performance of a complex graph analytics product spanning connected data, analytical services, application programming interfaces and user-facing tools with minimal supervision Own and communicate the product vision, strategy … validation through development, operation, continuousimprovementand retirement, using evidence to decide when to invest, continue, change direction, pause or stop Apply solid technical understanding of graph analytics to shape product choices, review architecture and analytical proposals, and identify where graph approaches will and will not add value, while ...

surface insights for action through tools, dashboards and bespoke analysis. Role responsibilities: You will lead the vision, strategy and performance of a complex graph analytics product spanning connected data, analytical services, application programming interfaces and user-facing tools with minimal supervision Own and communicate the product vision, strategy … validation through development, operation, continuousimprovementand retirement, using evidence to decide when to invest, continue, change direction, pause or stop Apply solid technical understanding of graph analytics to shape product choices, review architecture and analytical proposals, and identify where graph approaches will and will not add value, while ...

team in London, London, City of (GB-LND), United Kingdom (GB).Job Title: Knowledge Quality LeadExperience: 8–12 years (5+ years in data quality, analytics, or knowledge graph environments)Role OverviewWe are seeking a Knowledge Quality Lead to define and operationalize a multi-dimensional quality framework for enterprise … correctness, provenance, and currency of data, while driving governance, audits, and remediation at scale. The ideal candidate will combine expertise in data quality frameworks, graph analytics, and audit methodologies with the ability to lead quality initiatives across teams. Key ResponsibilitiesQuality Framework & MetricsDefine and implement a multi-dimensional quality ...

Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. … improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing ...

Financial Conduct Authority (FCA) is seeking a Product Owner for the Graph Analytics function within the Digital Intelligence Solutions team (DTI). You will own the product vision, strategy and outcome-based roadmap across graph data, analytics services, APIs and user-facing tools. You’ll lead ...

recruiting for a Data Scientist to join our Security and Intelligence consulting team and will be responsible for designing, developing and delivering advanced analytics and machine learning capabilities within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale … successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts and operational users to develop and deploy analytics solutions that enable insight and mission advantage. Typical engagements include: Intelligence data exploitation and advanced analytics ML model development and optimisation Natural Language ...

Financial Conduct Authority (FCA) seeks a Product Owner for Graph Analytics within the Digital Intelligence Solutions team in London/Edinburgh/Leeds. You will define the vision, strategy and roadmaps for a complex analytics product that spans connected data, APIs and user-facing tools, balancing user … needs with regulatory outcomes. You will lead a multidisciplinary team, apply graph technologies, and drive lifecycle decisions with a strong emphasis on evidence, risk management and #J-18808-Ljbffr ...

Financial Conduct Authority (FCA) invites applications for a product lead within the Digital Intelligence Solutions team to drive a graph analytics platform spanning connected data, APIs, and user tools. You will shape the vision, strategy and roadmap, work with regulators and engineers, manage risk and cost, and guide ...

Financial Conduct Authority (FCA) invites applications for a product lead within the Digital Intelligence Solutions team to drive a graph analytics platform spanning connected data, APIs, and user tools. You will shape the vision, strategy and roadmap, work with regulators and engineers, manage risk and cost, and guide ...

conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

JPMorgan Chase's Chief Data & Analytics Office (CDAO) invites applications for an Applied AI ML Director – NLP/LLM and Graphs. This role will apply sophisticated machine learning methods to NLP, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with ...

Director - NLP/LLM and Graphs within the Machine Learning Centre of Excellence (MLCOE). You will apply advanced ML methods to NLP, graph analytics, speech analytics and time series, collaborating with business, technology, legal, and control partners to deploy production-ready solutions. The role emphasizes leadership ...

science team within Network Software & Data Science. You will help design, build, and evolve the software platforms, services, and data products that enable advanced analytics, automation, forecasting, optimisation, and AI-driven decision making across our networks. This is an exciting opportunity to work at the intersection of software engineering … team focuses on technology strategy, design, and delivery across Sky's network and data platforms. From Cloud, AI, Automation, Data Science, and Advanced Analytics through to Network Optimisation and Digital Transformation, we build the systems that power the future of connectivity. Within Network Software & Data Science, we develop ...

colleagues from across our business and start to develop your professional network. About the Division: GSA owns and develops many cutting-edge quantitative analytics and projects. GSA started with delivering pricing and risk solutions to Sales & Trading and the majority of GSA internship topics have been around Fixed Income … Currencies (FIC) activities. The following teams are offering roles: DB Analytics is the front office cross-asset quant team in charge of the research and development of Deutsche Bank’s pricing models. The DB Analytics library is the inner mathematical layer of every DB pricing and risk management ...

Working with large datasets Production software development Experience with any of the following is useful, but not essential: LLMs AI Agents PyTorch XGBoost Graph analytics Behavioural modelling Cyber security Network analytics Our technology Our technology stack continues to evolve, but you'll typically work with: Python ...

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 ...

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 ...