301 to 325 of 363 Data Ingestion Jobs in England

Reply is seeking a Data and Knowledge Graph Engineer to design and build semantic layers, ontologies and knowledge graphs that connect data, systems, applications and AI solutions. You will own end-to-end technical design from discovery to production, creating robust foundations for integration, governance, analytics and generative … AI. Responsibilities include building scalable semantic models, data ingestion pipelines, and graph queries, while collaborating with stakeholders and advising on #J-18808-Ljbffr ...

that deliver measurable value in real-world commercial environments . You will work across agent orchestration, LLM and vision-language model integration, retrieval, multimodal data, evaluation and production infrastructure. You'll be expected to understand not only how to make an AI system work, but how to make … into reasoning, retrieval, summarisation and task-execution workflows. Build retrieval, memory, evaluation and guardrail capabilities around AI systems. Design and implement production pipelines covering data ingestion, processing and inference. Build search and retrieval systems across very large multimodal datasets, including text, imagery, telemetry and sensor data. Design indexing ...

Software Engineer - Senior Department: Factor Employment Type: Permanent - Full Time Location: London, UK Description Factor is an API driven, AI powered retail data platform for global energy utilities. We use deep machine learning to help energy retailers accurately value the energy they sell: improving margins, unlocking more competitive customer … priced, forecast, and delivered globally. As a senior engineer, you will play a pivotal role in developing the core of our system: scalable data pipelines, pricing engines, and APIs that support real time decision making for energy retailers and their customers. You’ll work in a highly capable ...

real-world problems that stand between millions of patients and the care they need.We are a highly cross-functional group where engineering, product, data, and security collaborate as true peers. We foster a low-ego, high-impact environment that values expertise and new ideas, maintaining the high standards required … healthcare communication platform.As a Senior Machine Learning Engineer, you'll join our Triage Intelligence team — a high-impact, cross-functional group of software engineers, Data Scientists, clinicians, and a Principal Product Manager. The team builds the intelligence that powers how Accurx understands healthcare communication across the entire product suite ...

Incident Response: React effectively to production failures, managing triage efforts, engaging appropriate teams, and communicating with management and technical escalation. Documentation and Reporting: Maintain data quality and completeness of incident tickets, ensuring all impacts are accurately recorded in the system of record. Prepare professional documents and ad-hoc reports … processes. Ideal Candidate Profile: Technical Expertise: Familiarity with enterprise network infrastructure, including routing, switching, wireless, and SD-WAN. Hands-on experience with Splunk for data ingestion, searches, and dashboard creation would be a big plus. Analytical Skills: Strong analytical skills with an attention to data quality, capable ...

internet, and Amazon S3 Tables is the first cloud object store with built-in Apache Iceberg support, purpose-built for storing and querying tabular data at massive scale. It is fully managed, continuously optimizing, and delivers up to 10x higher transactions per second than Iceberg tables on general purpose … think big and want to define the world of tomorrow. Customers are bringing their most demanding analytics workloads to S3 Tables, from streaming ingestion of IoT and application telemetry to multi-petabyte lakehouses powering multiple AWS and partner query engines, and a growing wave of AI agents that query ...

challenges in the products that sit at the heart of Lyst. Our team is split into small vertical functions that handle everything from data ingestion, to our website to our universal checkout systems. You could be leading the design of a new system to rapidly detect external fashion … allow you to help Lyst build and grow products currently used by millions of users globally. You will work closely with our current engineers, data scientists, designers and product managers to develop new product features and help us execute our product strategy, with a stack comprised of Python, JavaScript ...

Responsibilities Design, build, and maintain Splunk dashboards, searches, reports, and visualisations that support operational monitoring and troubleshooting. Collect, ingest, normalise, and manage network telemetry data, including logs, metrics, events, and streaming data. Develop and optimise alerting capabilities to proactively identify performance degradation, service disruption, and availability risks. Partner with … behaviour, performance indicators, and operational requirements. Support incident management, root cause analysis, and proactive problem identification through effective telemetry and monitoring solutions. Validate telemetry data quality, ensuring information is accurate, complete, and available when required. Identify gaps in monitoring coverage and implement improvements to strengthen observability across the network ...

Responsibilities Design, build, and maintain Splunk dashboards, searches, reports, and visualisations that support operational monitoring and troubleshooting. Collect, ingest, normalise, and manage network telemetry data, including logs, metrics, events, and streaming data. Develop and optimise alerting capabilities to proactively identify performance degradation, service disruption, and availability risks. Partner with … behaviour, performance indicators, and operational requirements. Support incident management, root cause analysis, and proactive problem identification through effective telemetry and monitoring solutions. Validate telemetry data quality, ensuring information is accurate, complete, and available when required. Identify gaps in monitoring coverage and implement improvements to strengthen observability across the network ...

seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms using the Databricks Lakehouse Platform . The ideal candidate will have deep expertise in Databricks architecture, Apache Spark, Delta Lake, data engineering, cloud platforms, and enterprise data solutions. Key Responsibilities Design and architect … Databricks Lakehouse solutions for large-scaleenterprise data platforms. Lead end-to-end Databricks implementation, including architecture, development, deployment, and optimization. Define Databricks workspace architecture, clusterstrategies, security models, and operational standards. Design and developscalable data pipelinesusing Databricks, Apache Spark, PySpark, SQL, andDelta Lake . Implement data ingestionframeworks supporting ...

into reasoning, retrieval, summarisation and task-execution pipelines. Build retrieval, memory, evaluation and guardrail capabilities around AI systems. Design and implement production pipelines covering data ingestion, processing and inference. Work with large-scale multimodal datasets spanning text, imagery, telemetry and sensor data. Design indexing, embedding and retrieval systems … framework level when required. Experience designing and deploying AI/ML systems into genuine production environments. Strong understanding of model inference, latency, performance, data pipelines, state, memory and tool/function calling. Experience building search and retrieval systems over very large multimodal datasets. Experience with Docker, Git and cloud ...

environments. At the core of everything we build is AVISTM (A Very Intelligent System), our orchestration platform: the intelligence layer that fuses multi-modal data, including text, imagery, telemetry and sensor feeds, so operators can interrogate complex information at speed and make better decisions under pressure. AVISTM powers … into the environments where it matters most, whether that is protecting nations, infrastructure and lives, or transforming how commercial organisations reason over their data and make high-stakes decisions. As a Senior Applied AI Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production: designing ...

innovative solutions that help them meet strategic business objectives using AWS products2. Customer Advisory: Act as a trusted advisor to line of business, AI, Data, and C-suite leaders, translating complex technical concepts into business value and guiding their AI transformation journey3. Technical Leadership: Lead architectural reviews, workshops … frameworks such as PyTorch, TensorFlow, Hugging Face, and scikit-learn. You have a background in a customer-facing technical role (solutions architect, ML engineer, data scientist, or technical consultant) and can communicate complex technical concepts to both technical and non-technical audiences, including C-suite executives. You hold domain ...

decisions before they go live. Задачи: Build the core product using Python (FastAPI) and React (Next.js/TypeScript), architecting systems for customer workspaces and data ingestion; Design and implement customer-facing interfaces for querying, exploring, and auditing AI-generated insights with clear evidence provenance; Collaborate with AI engineers … high reliability, observability, and security foundations from day one; Define engineering standards, architecture, and core product culture; Build interfaces and infrastructure that make messy data and uncertain predictions inspectable and trustworthy. Требования: Have 5+ years of software engineering experience; Combine strong backend systems experience with Python and frontend product ...

Develop alerting strategies to identify network degradation, anomalies and availability risks. Support incident triage, root-cause analysis and proactive network monitoring . Validate telemetry data quality, identify gaps and work with stakeholders to resolve issues. Support onboarding of new network platforms and device types. Document telemetry sources, dashboards, alert … logic and operational processes. Provide support during major network rollouts and changes. Essential Experience 46 years' experience in network operations, telemetry, monitoring or data analysis. Strong understanding of enterprise networking , including routing, switching, wireless and SD-WAN. Hands-on Splunk experience covering data ingestion, searches, dashboards ...

Develop alerting strategies to identify network degradation, anomalies and availability risks. Support incident triage, root-cause analysis and proactive network monitoring . Validate telemetry data quality, identify gaps and work with stakeholders to resolve issues. Support onboarding of new network platforms and device types. Document telemetry sources, dashboards, alert … logic and operational processes. Provide support during major network rollouts and changes. Essential Experience 4–6 years' experience in network operations, telemetry, monitoring or data analysis. Strong understanding of enterprise networking , including routing, switching, wireless and SD-WAN. Hands-on Splunk experience covering data ingestion, searches, dashboards ...

challenges.In-depth troubleshooting, troubleshoot issues efficiently while effectively communicating escalations and outcomes.Lead significant projects including design, development, integration and deployment.Deliver end-to-end data ingestion and processing using OpenSearch/Elastic Stack.The experience we’re looking for you to bring:The Engineer should have a minimum … Ubuntu/Debian, and CentOS/RHEL).Experience with infrastructure as code (IAC) practices.Configuration management: Puppet and AnsibleOrchestration: TerraformDCIM/IPAM tools, e.g. NetBoxLog ingestion: OpenSearch/Elasticsearch, Logstash, Kibana, Filebeat, SyslogContainerisation: Docker and/or KubernetesVirtualisation experienceCloud: AWSDatabases: PostgreSQL and/or MySQLApplication Servers: Apache or nginx, WSGIDeep ...

depth troubleshooting, troubleshoot issues efficiently while effectively communicating escalations and outcomes. Lead significant projects including design, development, integration and deployment. Deliver end-to-end data ingestion and processing using OpenSearch/Elastic Stack. The experience we're looking for you to bring: The Engineer should have a minimum …/Debian, and CentOS/RHEL).Experience with infrastructure as code (IAC) practices. Configuration management: Puppet and AnsibleOrchestration: TerraformDCIM/IPAM tools, e.g. NetBoxLog ingestion: OpenSearch/Elasticsearch, Logstash, Kibana, Filebeat, SyslogContainerisation: Docker and/or KubernetesVirtualisation experienceCloud: AWSDatabases: PostgreSQL and/or MySQLApplication Servers: Apache or nginx, WSGIDeep ...

environments. At the core of everything we build is AVISTM (A Very Intelligent System), our orchestration platform: the intelligence layer that fuses multi-modal data, including text, imagery, telemetry and sensor feeds, so operators can interrogate complex information at speed and make better decisions under pressure. AVISTM powers … into the environments where it matters most, whether that is protecting nations, infrastructure and lives, or transforming how commercial organisations reason over their data and make high-stakes decisions. As a Senior Applied AI Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production: designing ...

Power Platform capabilities, supporting consistency, interoperability, and best practice adoption across USS. * Support end-to-end solutions for Copilot and Copilot Studio, encompassing data ingestion, development, deployment, and seamless integration with existing Power App architecture and SharePoint. * Review and validate Copilot solution designs against enterprise technology architecture, providing … designing and delivering solutions using Power Apps, Automate, Power Bi to support Copilot customisation, automation, and governance. * Proven experience implementing Copilot ready solutions, including data readiness, permissions alignment, content lifecycle management, including Dataverse, SharePoint, OneDrive & Teams. * Deep familiarity with Power Platform, Microsoft Fabric, Entra ID, and M365 data ...

Splunk Enterprise and/or Splunk Cloud and certified to architect or consultant level Experience with monitoring, logging, and observability solutions Strong experience with data onboarding, parsing, and transformation Good understanding of Linux platform and infrastructure Experience in incident, problem, and change management processes Ability to troubleshoot complex issues … platform (Cloud/ITSI) to meet business and operational requirements Provide support for production issues, including incident, problem, and change management Optimise platform performance, data ingestion, and search efficiency Support platform upgrades, migrations, and onboarding activities Collaborate with engineering, DevOps, and application teams to onboard workloads and improve ...

debt markets — the world’s largest asset class at over $145 trillion.Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value … role for someone who wants to process numbers in the background. You will be expected to form views, tell the story behind the data, and challenge assumptions — while building the infrastructure that makes the finance function faster and sharper over time.You will join at a moment when ...

beqom is building the future of AI-driven data platforms in Manchester, empowering multi-tenant data ingestion, schema management and analytics through agentic pipelines. This Senior Agentic Backend Engineer role focuses on guiding agents with precise specifications, governance, and robust verification to reach fully AI-embedded development. … collaborate with Data Platform, Analytics, Support and Product teams to translate needs into agent-executable specs, owning the pipeline, governance, #J-18808-Ljbffr ...

agentic workflows.Collaborative Security Engineering: Partner with ML researchers and platform engineers to design and implement robust security controls across the entire ML lifecycle—from data ingestion and training pipeline integrity to inference runtime controls.Model-Driven Incident Response: Act as the primary technical expert for AI security incidents, deploying … TensorFlow), large-scale cloud training or inference infrastructure, and LLM ecosystems.Adversarial ML Mindset: Strong familiarity with AI security threat vectors (prompt injection, model inversion, data poisoning) and frameworks like OWASP Top 10 for LLMs or MITRE ATLAS.Agentic Frameworks Security: Proven experience securing agentic frameworks (ADK, MCP), agentic first infrastructure ...

gapped settings, adapting your approach to each environment's security and connectivity constraints Taking end-to-end ownership of production pipelines, from raw data ingestion through to live inference Building the monitoring, evaluation and guardrail tooling that shows how a system is actually performing in the field Setting … right call Real-world experience deploying AI/ML systems into production, beyond notebooks and proof-of-concepts Confidence across inference performance, data pipeline design, state/memory handling, and tool or function calling Experience building retrieval and search over very large, multi-modal datasets (multi-terabyte scale, spanning ...