501 to 525 of 552 Data Pipeline Jobs in London

Operations Analyst who is passionate about our mission of Money Without Borders. You will partner with our Payment Operations organisation to help drive data-driven decisions that would improve the quality of our payment systems, making them smoother and more efficient. The Payment Operations organisation is responsible … quarter. For example, understanding team quality KPIs and how each process intervention improves the organisation’s quality scores. Expose the vast amount of data available to the organisation in a meaningful and actionable way and support other teams in discovering insights from data. Support your team ...

This hands-on, early‐stage role spans software engineering, quantitative modelling, applied AI, and investment analytics, working with founders to design, evolve our data, analytics, and modelling platform. You will own end‐to‐end development across frontend dashboards (React/Next.js), backend services, data pipelines ...

Proven track record building and deploying AI/ML systems, including model development, validation, MLOps, and production deployment. Deep understanding of AI architecture, data pipelines, model governance, and software engineering best practices. Experience collaborating with cross-functional teams across Engineering, Data Science, Product, and Quality. Strong ...

leading energy technology platform to hire their first Head of Applied AI Research . The energy grid is one of the most complex, data-rich, highest-stakes systems on the planet. Our client has built the operating system for it. You've likely heard of them through their … flagship client, who powers 40% of the UK energy market. They process 15 billion data points daily across 70 million households worldwide, hold $500m in contracted ARR, and are expanding rapidly across Europe, Australia, Japan and the US. They are, by any measure, the leading AI-driven energy ...

intelligent applications, bringing emerging AI capabilities into production. You will act as a hands‐on technical leader, designing and coding production systems, APIs, data pipelines, and real‐time and batch workloads at enterprise scale. You will mentor engineers, guide architectural decisions, and collaborate with product managers and data ...

oversee the end-to-end AI platform architecture powering telecom services across its networks. You will bridge technical excellence with business value, shaping data pipelines, model development, and deployment frameworks on Prem and cloud platforms. You will define architectural standards, ensure scalable, secure integrations with core infrastructure … guide engineering, data science and product teams to deliver measurable business #J-18808-Ljbffr ...

London seeks a seasoned Quantitative Research professional to join the QR group, designing and maintaining models that drive equity trading engines and data‐driven decisions across global desks. You will collaborate with traders, researchers and software engineers to reduce execution costs and improve routing. The role requires strong … programming (Python/R), data pipelines and a background in finance, econometrics or mathematics, with deep interest in market microstructure and #J-18808-Ljbffr ...

native APM integration. The team operates at the intersection of industrial automation, software engineering, and AI/ML – building real‐time web applications, data pipelines (Kinesis, COSMOS), spatial intelligence platforms (Spectralink), and agentic AI systems (Graph RAG, MCP protocol). This is a high‐impact team with outsized … central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice https://www.amazon.jobs/en/privacy_page to know more about ...

launching software products. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. Experience with statistical inference, control theory, Ad targeting, or language modeling. Background in or deep understanding of web browsers and the broader … looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will ...

metadata enrichment at scale Collaborate with product, policy, and engineering teams to translate content intelligence into user impact Contribute to evaluation frameworks, data pipelines, and annotation systems Support rapid experimentation to prototype and launch new types of content signals Help improve system reliability, scalability, and performance across large … comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar You have experience working with large datasets and care about data quality and evaluation You are interested in or have worked with multimodal machine learning You understand how to design systems that balance automation with quality ...

building and deploying custom AI agents, made for the document-heavy work finance and insurance teams handle every day. It takes multi-modal data and returns verifiable outputs with transparent logic, so accuracy and compliance come built in. It runs on the latest models too, including GPT, Claude … full audit trail, so the human in the loop can see exactly how it got there. The Context Graph makes all your data (across workflows, documents and integrations) queryable in one place, giving your agents the context to be properly useful. It's your institutional memory. The team ...

models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. … survives in production, not just notebooks. The Full ML Lifecycle: Expertise in end-to‐end system design: from feature stores and real‐time data pipelines (Kafka/Beam) to A/B testing infrastructure and model monitoring. You understand the nuances of online vs. offline evaluation and have ...

environment to bridge financial business needs with technical systems, transforming how engineering teams capture, manage, and scale core repo trade and positions inventory data pipelines. Your Impact: Platform Innovation: Analyze and translate complex financial business requirements into scalable technology system changes for repo trade capture and positions inventory … least one of three core streams: Repo eTrading (RFQ, STP, ION/Bloomberg platforms), Collateral Optimization (clearing, margins), or Term Repo Lifecycle Management. Data & Assets: Strong basic understanding of Fixed Income assets (Bonds, US Treasuries) alongside moderate relational database and SQL skills. Domain Tools: Complete mastery ...

engineer to design and operate production-grade LLM-based extraction pipelines for pathology reports in a regulated healthcare setting. You will integrate LIS data with molecular/genetics information systems and implement robust APIs and data governance practices. The role emphasizes collaboration across labs … leveraging modern AI tooling to deliver accurate structured data while maintaining strict privacy and regulatory #J-18808-Ljbffr ...

will partner closely with domain experts, legal, and safety researchers to turn their evaluation needs into robust, scalable infrastructure: sandboxed execution environments, controlled data pipelines for sensitive material, access controls, audit logging, and the tooling that lets researchers safely elicit and measure model capabilities in high-consequence areas. … Design and build secure, sandboxed infrastructure for running sensitive model evaluations, including CBRN and other dangerous-capability domains. Build controlled data pipelines and storage for sensitive evaluation material, applying least-privilege and need-to-know access, role-based access control (RBAC), encryption at rest and in transit, audit ...

Kainos is seeking a Senior Palantir Engineer (Senior Associate) to design and build data processing and persistence components for scale. You’ll work in an agile team delivering production-grade data systems with leadership in software design and quality. You will collaborate with architects, engineers ...

Grip.Events is seeking a Principal Engineer to own the platform-wide data and AI infrastructure. You will shape data capture, modelling, storage, governance and serving layers, partnering with Engage, Manage and Agentic squads to set standards and deliver scalable systems. This role reports to the Engineering … Director, focusing on real-time data pipelines, LLM-driven agents, observability, and privacy-driven data governance, enabling the next generation of Grip's event platform. #J-18808-Ljbffr ...

About Football Radar Football Radar is a company that provides football analytics. Responsibilities You’ll own and optimise the data pipelines that power our prediction and club consultancy teams, helping deliver cutting‐edge football analytics. Estimated Benefits Health insurance Paid time off Benefits estimated based on industry standards ...

based environment. You will work with portfolio managers and researchers to deliver scalable research tools, improve production quality and deployment practices, and enhance data-driven investment workflows. #J-18808-Ljbffr ...

OpenAI is seeking a full‐stack Software Engineer to build internal tools and data pipelines powering lawful data access workflows and Legal Operations. You will translate ambiguous requirements into durable systems, focusing on secure, auditable data handling and reliable production services. This role emphasizes ...

work within a lean, agile team to bridge frontend development with backend systems, transforming how internal engineers interact with, validate, and secure core data pipelines. Your Impact Platform Innovation: Build and scale developer-facing tools and dashboards from scratch to manage data contracts at the code … level. Infrastructure Safeguards: Protect downstream systems (like recommendation engines) by implementing code-level guardrails against data incidents. Capacity Expansion: Act as a critical accelerator for a tight-knit core team, driving rapid prototyping during an essential discovery MVP phase. Cross-Functional Tooling: Balance frontend utility with data ...

work within a lean, agile team to bridge frontend development with backend systems, transforming how internal engineers interact with, validate, and secure core data pipelines. Your Impact Platform Innovation: Build and scale developer-facing tools and dashboards from scratch to manage data contracts at the code … level. Infrastructure Safeguards: Protect downstream systems (like recommendation engines) by implementing code-level guardrails against data incidents. Capacity Expansion: Act as a critical accelerator for a tight-knit core team, driving rapid prototyping during an essential discovery MVP phase. Cross-Functional Tooling: Balance frontend utility with data ...

maintenance of digital products in our LNG Energy Trading and Risk Management landscape. You will collaborate with software engineers, product managers, UX designers, data analysts and business partners to deliver robust data-driven solutions. You will mentor the team, own backend components, APIs and data ...

Machines is a leading boutique technology firm seeking a Principal Software Engineer to design and deliver complex, scalable systems across backend, APIs, frontend, data pipelines, and cloud infrastructure. You’ll work with internal teams and client stakeholders, owning outcomes end-to-end in a consultative engineering environment. ...

digital worlds: order orchestration, manufacturing, fulfilment, shipping and customer support tooling. As we scale, we’re consolidating tooling for CS and Ops, improving data visibility across the order journey, integrating new carriers, and increasing throughput in manufacturing while protecting customer experience and margin. You’ll partner closely with … increase throughput and reduce cost‐to‐serve. Improve observability and operability across the flow from “buy” to “delivered,” reducing WISMO and manual interventions. Data and tooling coherence: Assist in enabling a 360° order view and actioning capabilities for CS and Ops by standardising data pipelines ...