201 to 225 of 276 Data Ingestion Jobs in England

Bloomberg seeks a motivated Team Leader to oversee sovereign debt data coverage for the EMEA region. You will manage a team of data management professionals, align technical strategy with domain vision, and deliver high-quality data through automated pipelines. You will partner with Engineering, Sales and Product … mentor staff, and drive data governance, schema improvements, and data ingestion optimizations to support client needs and market-moving information. #J-18808-Ljbffr ...

infrastructure across the energy, transportation, security, and industrial sectors. Our Edge Platform team develops software systems that transform vast volumes of real-time sensor data into actionable intelligence. Deployed globally in demanding customer environments, our platform processes and analyses data from Distributed Acoustic Sensing (DAS) and Distributed Temperature … Developer, you will play a key role in building and enhancing the backend services that power these solutions. Working with modern C++, distributed systems, data processing pipelines, containerised applications, and cloud-connected technologies, you will help solve complex technical challenges while contributing to products used by some ...

infrastructure across the energy, transportation, security, and industrial sectors. Our Edge Platform team develops software systems that transform vast volumes of real-time sensor data into actionable intelligence. Deployed globally in demanding customer environments, our platform processes and analyses data from Distributed Acoustic Sensing (DAS) and Distributed Temperature … Developer, you will play a key role in building and enhancing the backend services that power these solutions. Working with modern C++, distributed systems, data processing pipelines, containerised applications, and cloud-connected technologies, you will help solve complex technical challenges while contributing to products used by some ...

designing, building, and operating production-grade ML systems from the ground up. Responsibilities include: Building and owning end-to-end machine learning solutions, from data ingestion through to deployment and monitoring Developing scalable data pipelines that process large volumes of real-time and batch data Training … production environments Working with Databricks, AWS, Python, Kafka, and modern MLOps tooling Leveraging machine learning, LLMs, and multimodal AI techniques across structured and unstructured data sources Collaborating with engineering, product, and business stakeholders to deliver impactful solutions Contributing to system architecture, platform design, and technical best practices Driving measurable ...

expansion into European markets, there's plenty to get involved in. You'll work closely with engineers and traders, building reliable backend services and data pipelines that support forecasting, trading and day to day business operations. You don't need previous energy or trading experience: curiosity, sound engineering judgement … willingness to take ownership matter most. The role Sitting between backend software engineering and data engineering, this position gives you the chance to understand how your work connects to the wider business, including cash management and financial workflows. You'll: Build and maintain data ingestion services connecting ...

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 any environment and data … world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay ...

implementation of a repeatable integration pattern to extract security logs from complex third-party applications into Microsoft Sentinel. - Define approaches for log collection, data ingestion and integration, leveraging Azure Data Factory where appropriate. - Design and support the initial implementation of a Data Loss Prevention (DLP) capability … application teams to translate requirements into practical technical solutions. Key experience: - Strong Microsoft Sentinel/Azure security architecture experience. - Experience designing SIEM integrations, log ingestion pipelines and custom connectors. - Knowledge and experience of Azure Data Factory and Azure integration services. - Hands-on experience designing and implementing Microsoft Purview ...

About Adarga Adarga builds AI systems for customers working in Defence, Security and Resilience. With a core focus on our multimodal data fusion platform, we combine the value of humans and agents to transform information overload into decision advantage. Our team is a hybrid of domain specialists and technologists. … want to drive a vision. About the Role Adarga is seeking an experienced generalist engineer to advance the design and implementation of our multimodal data fusion platform. You will take significant components from design through to production, contribute to architectural decisions, and ship. You will work alongside our Chief ...

makes us Qlik? A Gartner® Magic QuadrantTM Leader for 16 years in a row, Qlik helps teams get more out of AI with trusted data products, a powerful analytics engine, and AI agents. This helps teams reduce risk and operating costs while scaling AI responsibly. Used … influence, and a seat at the table - this is that step up. What makes this role interesting? Lead a large-scale analytics migration spanning data ingestion, transformation, modelling, and BI platforms Own the full lifecycle — from mobilisation and planning through execution, testing, release, and transition into business ...

researchers every year. You will lead a team of backend and database developers and work closely with the product team, machine learning engineers and data scientists to shape the next generation of literature discovery and AI-powered research services. Working alongside the Literature Services Team Lead, Product Lead … Data Science Lead, you will help define the technical strategy for Europe PMC, ensuring the platform continues to scale while delivering innovative capabilities that support modern scientific research. Europe PMC contains more than 11 million full-text articles and preprints, together with 45 million abstracts, enriched with citations, links ...

latency of AI applications and retrieval workflows. - Manage infrastructure-as-code using Terraform and support containerised deployments. - Build CI/CD pipelines and automate data ingestion, embedding generation and vector indexing. - Implement monitoring, logging, tracing and performance optimisation across AI workloads. - Apply security, access controls, versioning and governance … DevOps and security teams to deliver production-ready solutions. Skills & Experience - Strong Python development skills. - Commercial experience delivering solutions using Microsoft Azure. - Experience with data integration and ETL pipelines, such as Azure Data Factory. - Familiarity with vector databases or search technologies, such as OpenSearch. - Experience with Terraform, infrastructure ...

Salary Range £107,304 - £126,240 We support flexible working – Flexible Working Options Hybrid Working Job Description Summary . Job Description JOB TITLE: Data & ML Platform Lead SALARY: £107,304 - £126,240 LOCATION: London HOURS: Full-Time WORKING PATTERN Our work style is hybrid, which involves spending at least … supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. What you’ll be doing... As a Data & ML Platform Lead, you will lead the team responsible for building and operating the infrastructure at the core of Curve’s business. ...

components, and create reusable patterns that accelerate delivery of high-value use cases. Your work will directly influence how AI is embedded into the data, knowledge and process layers of the enterprise, ensuring solutions are robust, compliant and commercially viable. Key Responsibilities: Architect end-to-end AI solutions across … data, knowledge and process layers, covering internal business processes, reporting, frontline operations and customer experience. Design and deliver proof-of-concept AI solutions that validate target architectures, use cases and reusable patterns at enterprise scale. Define and document AI solution blueprints, including integration patterns for APIs, microservices, orchestration ...

government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the worlds most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is our clients next-generation agentic AI assistant, purpose-built … strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: We are seeking a Senior Cloud & AI Security Enablement Engineer to provide hands-on cloud security engineering capability while also enabling ...

/Python) London (On-site, London Farringdon office) Full-time, salary: £60,000-80,000 Job Summary Are you passionate about architecting the data and application platform that powers the next generation of AI products? Do you thrive on creating reusable frameworks and APIs that make entire engineering teams … Platform Software Engineer, you will focus on building the shared platform layer that underpins our entire AI solution suite. You will create frameworks, services, data pipelines and APIs that enable high‐volume data products. Whether you are implementing business logic or enabling seamless integration with both internal ...

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 ...

AXIS Capital is seeking a Senior AI Platform Engineer in London to design, build, and operate production‐grade AI services and data pipelines on Azure and Databricks. You will own end‐to‐end delivery, from data ingestion to model deployment and observability across AXIS AI platforms. … will collaborate with engineering, data science, product, security, and infrastructure teams to implement secure APIs, CI/CD pipelines, and reusable platform components at scale. #J-18808-Ljbffr ...

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 senior ...

about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale. More than just a workplace, we’re a global community founded on strong relationships and the belief … board! Role Summary: Cloudfactory is an AI enablement company where our software platform enables trusted AI at scale. Services of the platform include data preprocessing, AI model fine-tuning, inference oversight and MLOps for AI solutions in production. For traditional enterprises that have an aspiration to leverage ...

credit, collections, and financial health infrastructure across Europe. Our mission is to build fairer, smarter, and more empathetic financial systems through modern software engineering, data science, and thoughtful product design. As we expand into new markets across Europe, we face a core challenge: adapting to complex local banking standards … counterparts to prioritize client deployments, integrations, and go‐live schedules. What You'll Do Edge & Integration Engineering: Build, scale, and optimize per‐market client data ingestion and egestion integrations, including APIs, file formats, validation, reconciliation, and replay mechanisms. Payment & Comms Integration: Connect market‐specific payment providers, SMS, email ...

About Us: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial … Essential Experience Demonstrable success designing and delivering enterprise‐scale ML platforms and products (ideally using AWS SageMaker). Proven experience delivering ML solutions from data ingestion and feature engineering through to production deployment, monitoring, and continuous improvement. Experience building reliable, low‐latency inference services and operating ML workloads ...

defining, refining, and delivering enterprise products that help manufacturers connect Redzone with third‐party systems (ERP, MES, and OT/IoT platforms), optimizing data flow, system connectivity and frontline execution across the plant floor. This is a high‐impact, high‐visibility role at the center of Redzone’s growth … strategy. You will define how Redzone connects seamlessly into the broader manufacturing tech ecosystem—unlocking data from ERP, MES, HRIS, and OT systems to deliver seamless workflows and real‐time connectivity for the frontline. You will own the vision and execution for integrating with enterprise systems like SAP, Oracle ...

United Kingdom: Full time: Posted Today: R0123436**About Us:**LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience … Essential Experience* Demonstrable success designing and delivering enterprise-scale ML platforms and products (ideally using AWS SageMaker).* Proven experience delivering ML solutions from data ingestion and feature engineering through to production deployment, monitoring, and continuous improvement.* Experience building reliable, low-latency inference services and operating ML workloads ...

advancing OpenAI’s goal of developing AI that benefits everyone. About the Role As a Fullstack Engineer focused on child safety, you’ll build data-intensive, AI-powered applications and infrastructure that enable operators and investigators to work effectively and responsibly. You’ll adapt quickly in ambiguous, fast-moving … Safety Systems, and Research Contribute to the team’s technical strategy, especially for child safety related tools and systems Report on impact in a data-driven fashion You might thrive in this role if you: Have a strong software engineering foundation and enjoy owning systems end-to-end—from ...

defining, refining, and delivering enterprise products that help manufacturers connect Redzone with third‐party systems (ERP, MES, and OT/IoT platforms), optimizing data flow, system connectivity and frontline execution across the plant floor. This is a high-impact, high-visibility role at the center of Redzone’s growth … strategy. You will define how Redzone connects seamlessly into the broader manufacturing tech ecosystem—unlocking data from ERP, MES, HRIS, and OT systems to deliver seamless workflows and real-time connectivity for the frontline. You will own the vision and execution for integrating with enterprise systems like SAP, Oracle ...