1,451 to 1,475 of 1,583 Data Pipeline Jobs in England

provenance and integrity for what we build (SLSA, sigstore patterns, signed artifacts), dependency trust as a real control rather than a manifest scan, build-pipeline isolation, third-party risk as runtime telemetry. When the next big supply-chain incident lands, we should know within hours whether it touches us. … Security as your specialism, with a track record of defence systems you've shipped: detections that fired on real attacks, supply-chain or build-pipeline hardening, hardened product surfaces, IR automation that contained an incident. Be ready to talk about one in depth. Adversarial instincts. You follow supply-chain ...

autonomous fleet management and mission control;Build front-end interfaces for mapping, scheduling, and real-time monitoring;Develop backend services and APIs for data, control, and system integration;Design and manage cloud infrastructure;Integrate with vehicle systems and autonomy stack (telemetry, commands);Implement data pipelines, analytics ...

together the best of Google technologies and AI, health behavior science, and user-centered design to help users organize the health and wellness data, get insight from it, and take action toward their health goals. We do this with a suite of apps, services, and health wearables. … applications, large-scale digital platforms, or subscription-based products. Strong technical understanding with the ability to work comfortably alongside engineers on software architecture, data pipelines, and technical dependencies. Responsibilities: Author and own comprehensive program charters and roadmaps (6+ months) for complex, cross-functional growth, subscription, and business generation ...

assisted user journeys Setting measurable criteria for usability, accessibility and responsible use of AI, and holding delivery to them Modelling business processes, data and AI-assisted workflows with subject matter experts Essential experience for the AI Business Analyst Commercial GenAI delivery: use cases taken into live production … business setting, not pilots or personal experimentation AI governance: responsible AI criteria, model risk, data usage controls, or work aligned to frameworks such as the EU AI Act or ISO/IEC 42001 Requirements gathering and translation into functional and technical specifications Business process modelling and workflow automation ...

progress, anticipate roadblocks, and manage risk mitigation strategies.Act as the central point of contact to align executive cross-functional stakeholders (Engineering, Product, UX, Data Science, and Marketing). Facilitate consensus on complex technical and product tradeoffs, drive decision-making and manage escalations.Partner closely with engineering teams to perform … technical due diligence evaluate architectural scope, and leverage AI/ML technologies and data infrastructure to accelerate program execution and optimize user pathways at scale.Minimum qualifications:Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management.Experience managing cross-functional software ...

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 ...

Sheffield office.What this looks like day-to-dayAI-powered feature delivery: Build and ship features that use AI to turn product usage data into actionable suggestions for customers. You will work end to end across the experience, with attention to quality, usability, and the unique failure modes … engineering: Own delivery across the frontend and backend, with a strong lean toward TypeScript, Vue.js, DOM-level work, component architecture, and in-browser data capture. You will reason about backend services and APIs while building polished, reliable customer-facing experiences.Product discovery: Help validate problems, shape scope, and test ...

implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking. Build and maintain integrations between retrieval and ML components and diverse enterprise data sources, vector databases, APIs, and services. Develop context retrieval systems that balance recall, precision, latency, and cost. Build evaluation frameworks, datasets, and metrics to measure … retrieval quality, context relevance, and end to end agent performance. Build reliable backend services and data pipelines that support ML and LLM components in production. Deliver experiments and new capabilities quickly, maintaining high quality and tight feedback loops with customers. Collaborate across product, ML, and infrastructure teams ...

solutions inside customer environments. You turn unclear needs into working systems: AI agents, multi agent workflows, tool and API integrations, retrieval and data pipelines, evaluations and the cloud-native platforms that run them. You own this end to end, from discovery and design through build, integration and production … neutral frameworks such as LangGraph, choosing the right one for the customer’s needs. Work with customer technical teams to understand systems, constraints, data, deployment paths and operating needs. Use coding agents and human engineering judgement to move quickly while preserving review, test and release discipline. Integrate agents ...

High ownership. What you’ll do Lead design of key parts of a brand-new platform Build and own backend services, APIs and data pipelines at scale Make architecture decisions that the wider team builds on Stay hands-on while mentoring senior engineers Partner closely with product … tooling into everyday engineering workflows Tech stack Node.js, TypeScript React/Next.js Cloud platforms (Azure preferred, AWS or GCP also relevant) APIs, data pipelines, distributed systems AI tooling integrated into development workflows #J-18808-Ljbffr ...

with quantitative research and backtesting Strong understanding of statistics and working with large datasets Strong software engineering fundamentals Experience building reusable research/data pipelines Strong academic background in Computer Science, Mathematics, Statistics, Physics, Engineering or similar Genuine interest in financial markets and quantitative investing Ability to take … hedge fund, asset manager, prop trading or systematic investment environment is advantageous, as is exposure to cloud, Kubernetes, workflow orchestration, SQL, distributed data processing and AI/LLM tooling. £120,000+ base + bonus | London If you're a strong Python/Quant Developer who wants significant ownership ...

initiatives. Responsibilities for the AI Engineer: Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready Deliver Generative AI, Agentic … classical machine learning solutions aligned to enterprise requirements Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across ...

Opportunity Lumai is redefining how the world computes. We are an ambitious, venture-backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales … role at the intersection of ML research, compiler stacks, and novel hardware. What You'll Do Design and operate end-to-end ML pipelines: data ingest, training, evaluation, quantisation, and deployment onto custom AI accelerator hardware Build and maintain experiment tracking, model registry, and versioning infrastructure (e.g. MLflow ...

valuations to Portfolio Management Systems (PMS), reporting, and AI capabilities. What You'll Do Own the creation of solution designs, integration diagrams, data models, and non-functional requirements. Bridge the gap between high-level architectural intent and real-world delivery alongside BAs, Product Owners, and dev teams. … ideally supporting a Lead Architect. Strong track record in financial services, investment management, or fund management platforms. Practical knowledge of integration patterns (APIs, data pipelines) and architecture frameworks (TOGAF, ArchiMate, C4, UML). Comfortable in Agile environments and working with regulated or public-sector governance frameworks. Detail-oriented ...

writing clean, reliable code that scales. You will join our Research Software Engineering team to build and maintain shared dev-tools, evaluation & data pipelines, training framework, cluster tooling and CI/CD. Location: Paris/Warsaw/Zurich/London (hybrid) or remote EU/UK with … performance, optimising I/O, and automating workflows. Self-starter, low-ego, collaborative, high-energy. Nice-to-haves Exposure to ML workloads or data-processing pipelines. Experience with GPU clusters or CUDA. Open-source contributions or widely used internal tools. Location and Remote This role is primarily based ...

improvement to ensure key reporting processes are delivered reliably and efficiently. Responsibilities Monitor the health and performance of batch processing, applications, infrastructure, and data pipelines across the SFRC platform Perform first line incident management, root cause analysis, and operational troubleshooting activities Coordinate recovery actions during service disruptions, including … Develop and maintain automation solutions using scripting and DevOps tooling Support observability initiatives through monitoring, logging, and alerting platforms Collaborate with Technology, Infrastructure, Data Engineering, and Production Support teams to resolve issues and improve service performance About You Experience supporting production batch processing environments within complex enterprise platforms ...

with our clients to develop their reporting and analytics across financial and nonfinancial dataset using Workday PRISM analytics toolsetDesigning end to end PRISM data pipelines, including mapping and transformation requirements, and the design and build of associated reporting requirementsDemonstrable experience of building composite reportsConnect to your skills … take complex issues and explain them for a diverse audience.Essentials:Experience in ERP, EPM and cloud computing (including storage, platforms and data)PRISM analytics and reporting certifications and relevant experience with Workday FinancialsBe able to plan and deliver the scope and deliverables of the teamManage stakeholders using clear ...

with our clients to develop their reporting and analytics across financial and nonfinancial dataset using Workday PRISM analytics toolsetDesigning end to end PRISM data pipelines, including mapping and transformation requirements, and the design and build of associated reporting requirementsDemonstrable experience of building composite reportsConnect to your skills … take complex issues and explain them for a diverse audience.Essentials:Experience in ERP, EPM and cloud computing (including storage, platforms and data)PRISM analytics and reporting certifications and relevant experience with Workday FinancialsBe able to plan and deliver the scope and deliverables of the teamManage stakeholders using clear ...

with our clients to develop their reporting and analytics across financial and nonfinancial dataset using Workday PRISM analytics toolsetDesigning end to end PRISM data pipelines, including mapping and transformation requirements, and the design and build of associated reporting requirementsDemonstrable experience of building composite reportsConnect to your skills … take complex issues and explain them for a diverse audience.Essentials:Experience in ERP, EPM and cloud computing (including storage, platforms and data)PRISM analytics and reporting certifications and relevant experience with Workday FinancialsBe able to plan and deliver the scope and deliverables of the teamManage stakeholders using clear ...

ship reliable, scalable implementations Define success metrics and use qualitative and quantitative feedback to guide iteration Debug production issues related to AI behavior, data quality, or workflow design Contribute code across the stack where needed, with a bias toward shipping value What we’re looking for Experience 4+ … Technical foundation Comfortable writing production-ready Python code Solid understanding of backend systems and APIs, even if not infrastructure-focused Experience working with data pipelines, embeddings, retrieval, or RAG-style systems Ability to reason about latency, cost, reliability, and quality trade-offs Product mindset You naturally think ...

structured feedback. Identify systemic weaknesses in our infrastructure, propose improvements, and execute on them with minimal direction. Collaborate across engineering, product, and data to align technical direction with business goals. Drive improvements to observability, reliability, and performance across our backend stack. Contribute to hiring by participating in technical … Java (Spring Boot) and strong familiarity with Python; comfortable navigating a polyglot codebase. Proven experience designing distributed systems — event‐driven architecture, microservices, data pipelines. Strong command of PostgreSQL and experience working with cloud‐native infrastructure on AWS. Someone who has been through hypergrowth or scale challenges ...

recruiting a Senior SAP S/4HANA Order-to-Cash(O2C) specialist to lead, operate, and optimize their end-to-end commercial data streams across Retail, E-Commerce, Digital Marketplaces, Logistics, and Finance. This role ensures real-time data integrity between SAP S/4HANA … management, accurate multi-currency handling, and country-specific tax/VAT localizations across European markets. 2. Digital Commerce, Omnichannel & POS Integrations E-Commerce Data Integrity: Govern and optimize real-time SAP Magento data pipelines ensuring flawless synchronization of product catalogs, localized pricing, dynamic stock pools, customer ...

Smartstream in Bristol/London is seeking an AI Deployment Engineer who will own the data infrastructure for AI deployments, including pipelines, storage, and data serving. You will integrate AI solutions with CRM/ERP systems and build APIs and middleware. The role requires strong Python ...

hackajob is partnering directly with Google to hire for this role. We aim to turn production data into intelligence on the safety of deployed AI models. Safety Oversight is a new team tasked with using large-scale production traffic and a variety of automated evaluation methods to monitor … related technical field. 3 years of experience developing code, running experiments and analyses collaboratively with coding agents. Experience building highly parallelised data pipelines, working on data quality, automated evaluation design and simple statistical modeling. Proven ability in approaching new research questions and implementing technical solutions ...

hackajob is partnering directly with Google to hire for this role. We aim to turn production data into intelligence on the safety of deployed AI models. Safety Oversight is a new team tasked with using large-scale production traffic and a variety of automated evaluation methods to monitor … related technical field. 3 years of experience developing code, running experiments and analyses collaboratively with coding agents. Experience building large-scale, highly parallelised data pipelines, working on data quality, automated evaluation design and simple statistical modeling. Ability to use AI every day to build and find ...