451 to 470 of 470 Data Pipeline Jobs in London

execution of client engagements: scoping, system design, build and rollout. Forward-deployed means exactly that: inside the client's environment, on their real data, within their security model. A working prototype exists within the first days of an engagement; feedback lands every couple of days; a proven … templates and playbooks that make every engagement faster than the last. What You'll Be Doing Building working AI proofs on real client data during Assess engagements - the prototype is the discovery tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent ...

that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. … integrations. Agents are only as capable as the systems and context they can reach. You design and build the tool layer: MCPs, APIs, data contracts, and the error handling that makes tool use reliable. Influence technical direction. You have opinions about how things should be built ...

evaluation suite, the systems we use to measure and improve the quality of AI output Build across the full stack yourself, from data pipelines and backend services to the front-end tools our experts use Work closely with prompt engineers and subject matter experts, turning their knowledge into … Nice to haves Experience with building evaluation suites for AI products Experience with Python and TypeScript Experience building internal tools, testing frameworks or data pipelines Experience at a startup or in a small team where you built things end to end What good looks like in this role ...

focused teams to own delivery of high-stakes integration projects. A day's work may include architecting API-led connectivity strategies, designing agentic data pipelines, and sitting across from a customer's executive team to set their AI integration roadmap — but the most impact comes from shipping real … principles — API-led connectivity, process orchestration, application lifecycle management, and securityStrong engineering background. Preferred fields include Computer Science, Software Engineering, MIS, Electrical Engineering, Data Science, or equivalent experienceProficiency in at least one coding language (Python, Java, JavaScript, Node, Go, or similar) and a passion for working close ...

improve. Built for private markets, insurance and real estate, it supports investment diligence, underwriting, claims review and portfolio reporting—from analysing documents and data to generating deliverables and updating connected systems. Your experts define how the work should be done. V7 combines reusable Skills, shared company knowledge … close deals, then own onboarding to get customers to first value fast. Build and implement workflows within V7 Go; combining prompt engineering, data pipelines, and integrations to solve real customer problems across document processing and more. Act as the primary technical contact for accounts, handling complex challenges ...

technical challenges. This requires both a deep understanding of the codebase and a broad understanding of the tech stack, the model architecture and data pipeline. Develop the right balance between good engineering practices and having a flexible codebase which researchers find easy to use and extend. Minimum qualifications … over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay ...

decisions on AI developer tooling, model access, AI gateway and evaluation, balancing capability, cost and vendor independence. Move fast, safely: Partner with InfoSec, Data Protection, Risk and Compliance to set guardrails that let us move quickly in an FCA-regulated business. Run the team: Lead our AI Enablement … technical foundations. C#/.NET and Azure experience is a big plusBonus points for experience with introducing agentic AI into infrastructure, observability and data pipelinesCommercial judgement to think in cost, ROI and customer outcomes, plus experience in a regulated environment designing controls that enable rather than blockOur Values ...

looking for a Software Engineer to join the Commodities trading group to build data pipelines for the ingestion and analysis of datasets. The role entails working closely with senior data engineers and key stakeholders across both green field and established projects. Initially it will be focused … getting data to our analysts, with opportunities to help design and build the core data infrastructure used across the group as your experience grows. How you will make an impact...Development of reliable ETL pipelines in PythonWork on a small team alongside experienced engineersRegular direct contact with ...

Greater London 525 - 575 per day ContractData Engineer/GCP/LookML/BigQuery525- 575 per day (Outside IR35)London/Hybrid Data Engineer/GCP/LookML/BigQueryThis is an opportunity for you to join a growing ecommerce business who are looking for a Data Engineer with strong experience in the GCP stack to build and maintain data pipelines and create new dashboards and reports across the business. You'll be using their newly adopted GCP stack, BigQuery, Looker etc. and work closely with the wider data engineering team. ...

rare opportunity: the first 12 months are fully set aside for structured training , allowing you to learn the company’s trading systems, market-data architecture, and performance-critical design patterns before taking ownership of production modules. About the Role You’ll work on high-performance, real-time trading … software that processes market data, drives execution logic, and supports mission-critical investment workflows. Expect deep technical challenges across concurrency, optimisation, messaging, and deterministic system behaviour. The environment suits engineers who enjoy precision, reliability, and long-term craftsmanship in C++. Key Responsibilities Design, develop and optimise C++ components ...

fully automated trading team, trading multiple products across global markets. The team's framework facilitates live trading and historical backtesting and includes the data processing pipelines and research tools necessary for new alpha research. The codebase is predominantly in Python leveraging a number of industry standard libraries … data handling. This is a bleeding edge role as close as it gets to the market. They have invested heavily in infrastructure and are looking to take this to market. The opportunity is to help research and build execution signals for our medium frequency alpha's as well ...

support our customers and colleagues. Together, the Centre of Excellence teams builds and operates applied and agentic AI workflows, SaaS services, integrations and data pipelines to deliver the business objectives of the supported verticals. Youll contribute to production services from day one, developing your skills while improving reliability … configuration, access, environments, integrations and lifecycle management. Build and maintain applied and agentic AI workflows and automation pipelines that connect models, tools, business data, APIs and SaaS systems. Use Google ADK or similar frameworks to build, test and iterate on tool-using agents and AI-powered automations. Monitor ...

customers' browsing experiences to support growth. On the other side of the order, we're consolidating tooling for Customer Service and Operations, improving data visibility across the order journey, integrating new carriers, and increasing manufacturing capacity while protecting customer experience and margin. We're also changing … these tools genuinely help and where they do not, and raise the practice of the teams around you rather than only your own. Data and tooling coherence: Assist in enabling a 360-degree order view and actioning capabilities for Customer Service and Operations by standardising data ...

BigQueryThis is an opportunity for you to join a growing ecommerce business who are looking for an Analytics Engineer to build and maintain data pipelines and create new dashboards and reports across the business. You'll be using their newly adopted GCP stack, BigQuery, Looker etc. and work … closely with the wider data engineering team. We're interested in hearing from people who have experience with some of the following: LookerBigQueryGCPPlease apply to be considered. London/Hybrid525- 575 per day (Outside IR35)Analytics Engineer/GCP/LookML/BigQuery ...

technical strategy, architecture decisions and long-term platform planning alongside the Head of Engineering. Maintain secure, performant and reliable systems, services and data pipelines as the platform scales. Work closely with product teams to understand lettings workflows and develop technology that solves meaningful operational challenges. Drive technical improvements … quality. Understanding of agentic AI, large language models and the challenges of operating AI pipelines at scale. Experience with event-driven systems, secure data pipelines and cloud-native application development. Knowledge of Next.js and frontend development would be advantageous. Experience working with technologies such as PostgreSQL, MongoDB ...

distillation, model pruning, and post-training quantization to meet on-device latency and memory footprint constraints. Preferred qualifications: 3 years of experience building data pipelines, deploying production-ready systems, and experience managing multi-sensory datasets. As an organization, Google maintains a portfolio of research projects driven by fundamental … architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research ...

cross-functional teams to navigate ambiguity, deeply understand real-world biological defense challenges, and define clear product requirements and software architecture. Build robust data pipelines for complex biological datasets, implement scalable evaluation frameworks, and optimize model inference and serving infrastructure for production use. Contribute extensively to the engineering … qualifications: Bachelor's degree or equivalent practical experience.8 years of experience in software development. Preferred qualifications: Experience applying deep learning models to biological data (such as functional genomics or protein sequence data).Experience working with life science data, such as in bioinformatics or health ...

Location: London; UKWork type: HybridSeniority: DirectorPrimary skill: Business ConsultingPosted: 2026-09-29We're looking for a Director – AI & HPC Data Centre Compute to join our team in London, United Kingdom in a hybrid working mode. In this senior leadership role, you will drive EPAM … data centre strategy, leading engagements that optimise compute infrastructure across full-stack environments—from accelerators and networking to schedulers, containers and AI platforms. You will address cost, scalability and power constraints through software engineering, platform optimisation and systems integration rather than hardware procurement, helping clients deliver performance ...

limits of speed and throughput. In this role you will be designing and optimising FPGA-based systems for low-latency, high-throughput data processing, working on custom hardware acceleration, high-speed data pipelines, and performance-critical infrastructure where every nanosecond counts. This is a multidisciplinary team ...

what gets built, how it gets built, and what doesn't get built yet. Maintain secure, performant and maintainable systems, and reliable data pipelines, as the platform scales across customers. Get close to the product: understand the property workflows the platform automates, so the systems you build solve … lead from day one. The stack NestJS backend and Next.js frontend A monorepo deployed as microservices Hosted on Google Cloud and Kubernetes Data stored in Postgres, MongoDB and Qdrant Everything is built to run agents, not just respond to them. What good looks like Month 1: You know ...