76 to 100 of 107 Data Ingestion Jobs in the UK

plus benefits This is a senior opportunity to shape high impact forensic and regulatory investigations at scale, sitting at the intersection of data, AI and financial services risk. You will play a pivotal role in delivering complex, data led programmes while building and leading high performing teams … responsibilities with hands on delivery, working closely with senior stakeholders and clients. Key responsibilities include: Leading complex forensic, regulatory and investigation programmes underpinned by data, analytics and AI. Managing and developing multidisciplinary teams of data and analytics specialists. Acting as a senior client contact, communicating findings, insights ...

client engagement on an initial 6-month contract. This is an exciting opportunity to take a leading role in designing and building modern data platform solutions using the full Microsoft Fabric stack. The role operates outside IR35 and offers a competitive day rate of £400, with the flexibility … hybrid working model from a London base. WHAT YOU'LL BE DOING Architect and deliver end-to-end solutions on Microsoft Fabric, including data ingestion, transformation, and serving layers Design scalable, robust data platform architectures aligned to client requirements and best practices Collaborate with stakeholders to translate ...

translate broad optimisation strategies into effective personalisation programs, foster a culture of delivering relevant, tailored experiences, and drive measurable business impact through a systematic, data-driven approach focused on personalisation. This role will work at a high level of detail, implementing and optimising the personalisation framework defined … provide comprehensive performance reporting on personalisation outcomes and insights. Cultivate and maintain robust relationships with client stakeholders, specifically around personalisation planning, content requirements, and data activation across global regions. Personalisation Strategy & Execution: Champion Personalisation-Led Growth (PLG) across the organisation, fostering a mindset of delivering highly relevant, tailored user ...

heavily layered delivery structures or narrow ownership boundaries. The work sits within high-side National Security programmes where software capability directly supports operational users, data-intensive systems and secure analytical platforms. Teams work closely with customers inside secure environments, giving engineers far greater visibility of how systems are used … evolution. Teams are relatively lean, collaborative and engineering-led, with strong interaction between developers, technical leads and operational stakeholders. The programmes themselves span secure data movement, analytics capability and modernisation work across large-scale operational platforms. For engineers who enjoy solving complex technical problems, influencing delivery direction and working ...

systems. Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability. Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions. Ensure all solutions adhere to security, governance, and compliance expectations, particularly around … Strong experience in leading enterprise grade MLOps strategy and its execution. Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams. Proven leadership in defining and executing enterprise MLOps strategy. Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client ...

required for this role. Our client are seeking a Software Developer to contribute to the ongoing operation and evolution of a large-scale data platform supporting complex analytical use cases. The platform consolidates event data from a wide range of user-facing systems, processing and publishing it through … shared internal analytics services. This role involves building and maintaining dependable data ingestion and delivery pipelines, with a strong focus on reliability, performance, and long-term maintainability. Responsibilities: Drive delivery of groups of related user stories within iterative, agile development cycles. Develop and maintain a deep understanding ...

school improvement initiatives. Familiarity with school/trust Financial Management Systems (FMS). Knowledge of school/trust budget planning. Ability to manage a data lake, including data ingestion, storage, governance, and integration with analytics tools. Advanced proficiency in Microsoft Office suite. Strong customer relationship management skills. ...

Operations. You will build and scale the high-throughput Python ( Django ) Backend that Collects, Processes & Analyses Large Volumes of Threat Telemetry. By operationalising Complex Data Pipelines & Integrating LLM Workflows, you will directly fuel the Research that enables our enterprise clients to outmanoeuvre Real-World Adversaries. Who Should Apply … Threat Data Architect: A hungry BackEnd Engineer who thrives on building scalable, reliable systems capable of ingesting and normalising massive Security Datasets without buckling under pressure. The Intelligence Automator: You don't just move data; you weaponize it. You have a deep interest in the Cyber Security Domain ...

arisen for an experienced KDB Developer to work alongside their Quants and Traders. This is an exciting opportunity to take ownership of critical data and analytics capabilities in a business where your work will directly support front-office decision-making, research, and platform performance. In addition to the base … every 6 months. THE ROLE: KDB Developer This position sits within a small, highly capable team focused on building, improving and supporting the firms data environment. The successful candidate will play a key role in designing and developing scalable data collection and analytics solutions, while helping ensure ...

detection content, ensuring security monitoring remains effective, scalable and reliable. Key responsibilities include: Acting SME on Splunk Enterprise Security platforms Designing and maintaining log ingestion pipelines and data enrichment processes Developing and tuning detection rules aligned to MITRE ATT&CK techniques Managing the full lifecycle of detection content … ENGINEER ESSENTIAL SKILLS Hands on experience with Splunk Enterprise Security Strong background in detection engineering and SIEM operations Experience designing and managing large scale data ingestion pipelines Advanced knowledge of SPL, KQL or EQL for detection engineering Experience with automation, scripting or Infrastructure as Code in SIEM environments ...

detection content, ensuring security monitoring remains effective, scalable and reliable. Key responsibilities include: Acting SME on Splunk Enterprise Security platforms Designing and maintaining log ingestion pipelines and data enrichment processes Developing and tuning detection rules aligned to MITRE ATT&CK techniques Managing the full lifecycle of detection content … ENGINEER ESSENTIAL SKILLS Hands on experience with Splunk Enterprise Security Strong background in detection engineering and SIEM operations Experience designing and managing large scale data ingestion pipelines Advanced knowledge of SPL, KQL or EQL for detection engineering Experience with automation, scripting or Infrastructure as Code in SIEM environments ...

week working remotely. The Role You will design, build, and optimise the fund’s quantitative research and trading systems. This includes everything from data ingestion and modelling pipelines to execution tooling and performance analytics. You’ll work closely with quants, traders, and the CTO to deliver clean, robust … production-ready code that directly supports live trading. Key Responsibilities Develop and maintain quant research infrastructure , backtesting frameworks, and simulation tools Build data pipelines for market, alternative, and proprietary datasets Implement and optimise systematic trading models in collaboration with researchers Improve execution workflows, latency, and reliability Contribute to architecture ...

work on products that make a real-world impact. What you will be doing: Design and deliver production-grade AI/ML solutions, from data ingestion and model development through to deployment and monitoring. Build scalable MLOps pipelines, ensuring automation, reliability, and efficient deployment across cloud … Experience deploying AI solutions in AWS, Azure, or GCP environments. Strong MLOps knowledge, including Docker, Kubernetes, MLflow, and CI/CD pipelines. Experience with data engineering, optimisation, or reinforcement learning. Good understanding of the Software Development Lifecycle (SDLC). Why Join: Remote working Collaborative work culture Career progression opportunities ...

SeniorML Systems Engineers - Vision ML/Visual Data Processing A privately backed AI technology company operating at the intersection of machine learning in the media industry. You will own core ML infrastructure end to end, from data ingestion and curation through to distributed training and production inference … rather than tech-for-tech's-sake. You should be comfortable bridging the gap between experimentation and production. Key Responsibilities Build and evolve a data platform (LanceDB, DataFusion, SQL and vector search) for large-scale multimodal datasets Design ML pipelines for video indexing and processing (face detection, quality assessment ...

massive (GB-scale) datasets. Focusing on performance bottlenecks via vectorisation, parallelism, chunking, or memory optimization. Analytical Pipelines: Experience building end-to-end analytical pipelines (data ingestion → computational transformation → modelling → output) rather than one-off analyses. Cloud Environments: Hands-on exposure to deploying and managing applications within a cloud ...

Routes, ConfigMaps, and Secrets). Database Management: Architect and optimize complex schemas, stored procedures, and queries in Microsoft SQL Server to handle high-frequency data ingestion and reporting. Performance Optimization: Implement and manage Redis for distributed caching to reduce database latency and improve system throughput. DevOps Integration: Collaborate … .NET 8+ and Entity Framework Core. Cloud & Containers: Hands-on experience with OpenShift or Kubernetes; ability to write Docker files and manage container lifecycles. Data Tier: Advanced knowledge of MS SQL Server (T-SQL, indexing strategies, and execution plan analysis). Caching: Experience integrating Redis for session management ...

software for automating bioanalysis workflows. Our platform helps scientists and bioanalysis teams turn complex analytical processes into reliable, repeatable, AI-assisted workflows across data ingestion, analysis, reporting, review, and compliance. The Research Engineer executes our research projects. The work spans agent systems, how we quantify their performance … comes from product feedback; you turn it into shipped results. You will work close to the science: formulating problems, designing experiments, shipping implementations, curating data, and interpreting results. You will work with biologists, scientific contractors, and the rest of the team, and act as a technical sparring partner ...

software for automating bioanalysis workflows. Our platform helps scientists and bioanalysis teams turn complex analytical processes into reliable, repeatable, AI-assisted workflows across data ingestion, analysis, reporting, review, and compliance. We are looking for a Senior Full Stack Engineer to take ownership of both product and infrastructure development. … Build product features across React, Next.js, and TypeScript. - Design, build, and maintain backend Python backend services and APIs. - Own PostgreSQL database design, data modelling, schema migrations, and query performance. - Build and maintain infrastructure using Terraform, Docker and Kubernetes, on GCP. - Improve the reliability, scalability, and maintainability of production systems. ...

TimeXtender delivers secure, trusted, AI-ready data for every decision. Our metadata-first platform enables enterprises to build future-proof data infrastructure 10x faster than traditional methods. By automating the complex layers of data ingestion, preparation, and delivery, TimeXtender provides a secure foundation for analytics … across cloud, hybrid, or on-prem environments. We give data teams the agility they need and the governance compliance demands. Overview TimeXtender is seeking a Head of Sales, EMEA to lead and accelerate our growth strategy across Europe, with a primary focus on the Nordics, Benelux, UKI, and DACH ...

front-end and back-end systems. Support and mentor junior developers, fostering a collaborative learning environment. Design and maintain scalable infrastructure and frameworks for data ingestion, processing, and analysis. Skills & Experience Required Minimum 3 years' commercial experience in a Full Stack Developer role. Strong proficiency in JavaScript/ ...

architecture, reference designs, and governance for Generative AI solutions across voice and chat channels. This role partners with product owners, security, data, and engineering teams to translate business outcomes into scalable, secure, and cost-optimised architectures on AWS, accelerating delivery of conversational AI products using Amazon Bedrock, agentic frameworks …/function calling, and agentic workflows (e.g., LangChain/LangGraph/CrewAI/Strands-style patterns) with clear guardrails. Design enterprise-grade knowledge architectures: ingestion pipelines, chunking strategies, embedding/model choices, vector stores, metadata/ACL strategy, and evaluation loops to improve retrieval quality. Architect APIs and integration ...

that let filmmakers edit, localise, and refine performances without reshoots. About the Role The Senior ML Systems Engineer will own the full stack from data ingestion through to distributed training and production inference . Responsibilities Importantly a track record of building ML infrastructure or data platform Strong … #Python backend expertise (e.g. FastAPI or similar) and this hire will have significant ownership Data platform: #LanceDB, #DataFusion, #Arrow, Parquet, Iceberg Training infra: #PyTorch, Ray, multi-node distributed setups Inference: Triton, model ensembles, production reliability Multimodal pipelines: TB-scale video, embedding, and #metadata #datasets Qualifications It's a hybrid ...

brokers, and risk teams use Parsewise to read full submission and claims files end-to-end, turn them into structured, source-linked, decision-ready data, and surface the key risk signals in a dedicated UI that fits their workflow. We are growing a team of driven, high-ownership people … wave and deliver on its promise for regulated buyers. We’re building the most reliable and scalable pipelines for unstructured data. Beyond the document ingestion and understanding that out-of-the-box LLMs can solve, we give business users a level of AI support that no chatbot can provide ...

highly skilled Automation Test engineer with expertise in Identity and Access management (IAM) back-end validation. Skilled in identity orchestration, API testing, data ingestion and transformation, and event-driven (Pub/Sub) architectures. This role focuses on testing secure, scalable identity and access workflows across Google Cloud Platform … automated test framework and suites for API, event, and graph-based services (Python/PyTest). Define and execute test plans/cases/data aligned to requirements and technical specs; maintain FR/NFR traceability. Validate IAM concepts and access models (RBAC/ABAC/ReBAC/PBAC ...

core cyber security platforms and services. You will maintain and tune security tooling across identity, access, network and XDR technologies, ensuring system health, data integrity and effective alerting. You will support multi-tenant platforms such as XDR, SIEM, monitoring analytics, queries and dashboards, and identify opportunities to improve performance. … will contribute to onboarding by supporting ingestion pipelines, enrichment processes and integrations that enable CSOC operations. You will also support planning and implementation of system changes through formal change management, considering risk, impact and service continuity. Working with senior engineers, you will help improve service reliability, resilience and scalability ...