151 to 175 of 181 Data Ingestion Jobs in England

Security Operations Centre to support the cyber defence of a major international defence programme. The environment will span Microsoft Cloud services and on-premises data centres across multiple regions and classification levels, creating a technically challenging and highly significant cyber security programme. The SIEM Engineer will support the design … role will work across technologies including Splunk, Microsoft Sentinel, SOAR, Microsoft XDR and wider security tooling, with a major focus on SIEM engineering, data onboarding, integrations, detection content and threat-led use cases. Whats on offer Salary: £72,000 £82,000 10% annual bonus Opportunity to help build ...

first engineers; which means you design and own the systems that power every engagement we run. The agent pipelines, the data infrastructure, the evals framework. The choices you make in the next twelve months will be the ones we live with for the next ten years. Go beyond RAG. … building a wrapper around an LLM. We are building multi‐step agentic workflows with reliable, enterprise‐grade inference; systems that can ingest messy, heterogeneous data and produce outputs that a PE partner would stake a deal on. You design the architecture that makes that possible. Own the full ...

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 ...

added features. You will contribute end‐to‐end across the stack of both product and project initiatives from user interfaces and backend services to data pipelines and AI reasoning layers. This is a hands‐on role for engineers who want to build reliable AI systems that operate at scale. … factories, prompt templating, versioning, testing, and reuse across solutions. Contribute across the full application stack: front‐end integration, back‐end APIs and services, and data ingestion and processing layers. Design AI systems with production constraints in mind – latency, cost, reliability, observability, and safe fallback behavior. Apply Agile, Scrum ...

AIOps capabilities by aligning use cases, implementation priorities, and operational workflows with business needs, platform readiness, and measurable service outcomes. Drive integration and data ingestion of observability standards across logs, metrics, traces, events, and topology data to improve visibility across cloud, on‐premises, and hybrid environments. Implement … leadership and influence decisions on tooling, process simplification, and operating model improvements. Build and mentor a high‐performing team, fostering technical depth in observability, data analysis, incident intelligence, and automation engineering. Qualifications 7–10+ years of experience in IT operations, SRE, observability, platform engineering, or related disciplines, with demonstrated ...

Role Description: The role will focus on building and maintaining SIEM environments, with a particular focus on the management of core environment setups and data onboarding into Cloud platforms. You will work closely with stakeholders to support both well-defined and more complex data ingestion routes, working … system logs to create a searchable dataset for analysis. This allows the EIT Cyber Security Operations Centre to monitor, search, analyse and visualise the data for potential threat alerts. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work ...

team in London. Central to Amazon's retail business, our high scale distributed systems hold the largest product catalog in the world, and manage data ingestion and processing from millions of external data contributors, Amazon's own retail catalog, and Amazon internal customers including Kindle, Prime Video … C# including object-oriented design Experience designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture) Strong knowledge of data structures, algorithms, big "O" analysis and designing for performance, scalability and availability Outstanding problem-solving abilities and a clear commitment to making Amazon ...

Looking For We are seeking a highly skilled and hands‐on Senior Systems/Platform Engineer to support and evolve large‐scale, mission‐critical data platforms. The ideal candidate combines deep Unix expertise, strong automation capabilities, and proven experience operating highly distributed environments at scale. Core Technical Skills Advanced … Splunk administration within production environments Demonstrated ability to manage large, distributed Splunk deployments, including: Indexer clustering at scale Smart Store architectures High‐volume data ingestion environments (multi‐terabyte per day) Strong understanding of cluster lifecycle operations, performance optimization, and reliability engineering Cribl Platform Expertise Certified or highly experienced ...

platforms are secure, governed, and ready for production. What You'll Be Doing Design end-to-end AI and Machine Learning architectures, from data ingestion through to model deployment and monitoring. Define scalable cloud-native AI solutions using Google Cloud Platform (GCP). Lead the architecture of enterprise … real-time, batch and streaming AI inference solutions. Ensure AI solutions meet governance, security, regulatory and compliance requirements within financial services. Collaborate with engineering, data, security and business teams to deliver production-ready AI capabilities. Provide technical leadership and architectural guidance across multiple workstreams. What We're Looking ...

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 … workflows for reasoning, search, summarisation, and task execution Deploy AI systems into cloud, on-premises, and air-gapped environments Build production-ready pipelines from data ingestion through to inference Experience with observability for AI systems, including agent behaviour, model performance, and failure modes Collaborate with engineers, product leads ...

workflows for reasoning, search, summarisation, and task execution Deploy AI systems into cloud, on-premises, and air-gapped environments Build production-ready pipelines from data ingestion through to inference Experience with observability for AI systems, including agent behaviour, model performance, and failure modes Collaborate with engineers, product leads ...

Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We own the entire pipeline including synthetic data generation, environment design, mid-training, supervised fine-tuning, offline reinforcement learning, online reinforcement learning, reward modelling, transition modelling, etc. Our team also has dedicated … advanced LLMs and VLMs, including multimodal architectures Research and implement training methods for enhanced capabilities like instruction following and tool use Design and optimize data pipelines and training systems for large-scale distributed training Collaborate with cross-functional teams to integrate models into agentic AI systems Evaluate model performance ...

deep learning, ideally in domains involving high-frequency or large-scale time-series data. You will focus on developing alpha signal generation pipelines from data ingestion and feature engineering to model training and deployment - in collaboration with our trading and infrastructure teams. Responsibilities Develop ML-based alpha generation … models using high-frequency order book and market microstructure data. Design and maintain data pipelines, preprocessing, and feature extraction workflows tailored to streaming tick data. Research and implement advanced deep learning architectures for short-horizon forecasting and signal extraction. Collaborate with quant researchers and developers to integrate models into ...

Research in London seeks a Security Data and Platform Engineer to own the onboarding, tuning and evolution of security telemetry across cloud, hybrid and corporate environments. You will design scalable data ingestion into Elastic SIEM and apply software engineering to automate workflows. You will collaborate with … CSIRT, Detection Engineering, Platform Engineering and Cloud teams to ensure high‐quality, cost‐effective security data for monitoring, investigation, threat hunting and #J-18808-Ljbffr ...

with repeatability. What you will be doing Solutions development and presentation: You will develop and present workflow implementations within V7 that combine prompt engineering, data ingestion pipelines, and format conversions, solving customer problems in image recognition, document processing, product development, and more. You will present your findings … foundation models, SFT, prompt engineering, RAG, and/or measuring AI accuracy. Two years plus experience in solutions architecture or integrating multiple applications/data streams, or ML development within customer‐facing roles. Intermediate experience with Python. University degree in computer science, engineering, mathematics or related fields. Solutioning: ability ...

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 … workflows for reasoning, search, summarisation, and task execution Deploy AI systems into cloud, on-premises, and air-gapped environments Build production-ready pipelines from data ingestion through to inference Experience with observability for AI systems, including agent behaviour, model performance, and failure modes Collaborate with engineers, product leads ...

also focuses on production integration, deployment, monitoring, and live trading support, and on liaising with central technology teams to leverage the firm’s existing data and execution services. Principal Responsibilities Build the team’s C++ latency-sensitive trading systems from market data ingestion to order execution Productionise … performance-critical signal computation within the trading systems Build the supporting research infrastructure, including replay and data management Support execution-related workflows across systematic strategies in Futures, FX, and Fixed Income Specify the team’s performance and infrastructure requirements to central technology teams and work with them to deliver ...

seeking a high-performance Rust Software Engineer to join a core technology team building highly available, distributed systems that underpin real‐time trading and data platforms. This is a greenfield, engineering‐led environment where system reliability, throughput, and latency are critical to trading performance. The firm operates a technology … handling extreme throughput and concurrency Implementing fault‐tolerant architectures to ensure system reliability in live trading environments Developing core infrastructure for real‐time data ingestion, processing, and distribution Working closely with traders, quantitative researchers, and infrastructure teams to deliver performance‐critical systems Requirements Strong commercial experience ...

Group in Birmingham is seeking a SIEM Security Engineer to design, implement and operate our next generation SIEM. You will own data ingestion, enrichment and threat detection across multiple data sources, primarily using Elasticsearch pipelines and Kafka. You will work closely with Security Operations, engineers and analysts ...

Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low‐latency, high‐reliability experiences for our customers … transformers and LLMs). Low‐level GPU work , such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‐engineers. ...

enhancements Support detection engineering, tuning, and platform optimisation Lead automation and SOAR initiatives to improve efficiency Collaborate with SOC providers on SIEM governance and data ingestion Ensure platforms meet regulatory and compliance requirements Maintain engineering documentation, standards, and governance Represent engineering in client governance and audit activities Coordinate ...

call centre tooling and chatbot that services all our customers’ needs. Supplying - the teams responsible for hotel, flight and ancillary supplier integrations, including data ingestion and reservation APIs, with a focus on optimising breadth of choice, cost & availability accuracy and the successful fulfilment of holiday package components. Core ...

Staff Analytics Platform Engineer to shape the architecture of our analytics platform. This pivotal role involves providing technical leadership, improving performance and scalability of data systems, and mentoring engineering teams. Ideal candidates will possess deep knowledge in platforms such as Snowflake and significant experience with Python, data ingestion ...

production infrastructure for mid-frequency equity statistical arbitrage strategies. This is a hands-on engineering role with ownership across the full trading stack, including data ingestion, research tooling, back testing, production strategy deployment, execution integration, real-time monitoring, diagnostics, and post-trade analysis. The ideal candidate has experience … fund or proprietary trading environment. We are also highly interested in strong software engineers from technology companies or adjacent domains who have built complex, data-intensive systems with high standards for correctness, reliability, scalability, and long-term maintainability. Responsibilities Architect, implement, and maintain production infrastructure for systematic trading strategies ...

hybrid model with one in-office day per week. You’ll lead architecture discussions, design scalable systems, and guide ML projects from data ingestion to deployment, collaborating with clients and cross-functional teams. You will mentor colleagues, balance technical and product needs, and help shape the company ...