76 to 85 of 85 Data Ingestion Jobs in the UK

ground up. You'll design the infrastructure that turns model development from a bespoke, manual process into a scalable, standardised one - so our data and applied scientists can focus on improving detection rather than managing operations. This is a greenfield build with strong investment and direct engagement from Wise … Risk Modelling. You'll sit in Risk Modelling, building the platform layer that makes scaling our detection capabilities possible. You’ll work closely with data scientists, feature platform engineers, and Wise's central ML platform team. We value engineers who build for adoption - internal platforms succeed when teams want ...

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 ...

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 ...

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 ...

lawyers’ AI interactions Our tech stack and day-to-day tools include: TypeScript for the majority of our applications, frontends, and microservices Python for data ingestion and our AI services AWS for our cloud infrastructure Postgres for our data storage Terraform for defining infrastructure as code Head ...

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 ...

report processing, and VAT reconciliations on royalty statements. Streamline financial operations by automating processes related to monthly accruals, costs, and transactional revenue tracking. Standardize data ingestion as digital partners and sales statements evolve over time. Partner directly with Finance and Royalty leaders to consult on systemic upgrades, infrastructure … improvements, and ad-hoc data projects. Write crystal-clear system documentation and Standard Operating Procedures (SOPs) for newly automated pipelines. What We're Looking For 1. Core Automation Expertise Real, hands-on experience automating end-to-end operational workflows and manipulating large datasets. Tool Agnostic: You must be highly ...

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 ...

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 ...

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 ...