1,176 to 1,200 of 1,510 Data Pipeline Jobs in London

Cognizant in London is seeking an experienced Azure Databricks Data Engineer to design, develop, deploy, and optimize scalable data solutions on Microsoft Azure. You will build production-grade data pipelines with Delta Lake, Unity Catalog, and Databricks tools. The role requires hands-on expertise … PySpark, Python, SQL, and Spark architecture, plus experience with GitLab-based CI/CD, Databricks Asset Bundles, and Azure Data Lake Storage. #J-18808-Ljbffr ...

Jobs3. UK4. Research Engineer, Safety Oversight, DeepMind—G## Research Engineer, Safety Oversight, DeepMindGoogle00AI SafetyFull-timeLondon, UKApply Job### Job DescriptionWe 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 … teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.ResponsibilitiesBuild classifiers and large-scale data pipelines to detect model misbehavior and misuse end-to-end. Research and develop cross-context monitoring systems to detect coordinated harms, developing novel signal ...

LexisNexis Risk Solutions in Greater London is looking for a Senior Data Engineer to design and maintain data pipelines that enhance analytic systems. This role demands expertise in Python, Java, and data engineering concepts. As part of an innovative team, you will develop robust ...

Elsevier in London is seeking a Senior Data Engineer to build and maintain scalable, high-performance data-driven applications. You will design and develop data pipelines, ensuring reliability and effectiveness in delivering insights. Strong skills in Python and knowledge of cloud platforms like ...

skills and the ability to independently drive work to completion Strong communication skills and ability to collaborate across teams Preferred Qualifications: Experience building data pipelines for centralizing structured data Experience working with Cisco routing and switching hardware Experience working with Google Cloud Platform Experience programming … Experience with Linux kernel bypass techniques such as DPDK. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice. California residents, please review the California Privacy Notice for information about ...

solutions, significant changes and alignment with Microsoft and enterprise architecture best practice. Define and validate architecture patterns for OneLake, Lakehouses, Warehouses, notebooks, data pipelines, dataflows, semantic models, Power BI and supporting Azure services. Review and strengthen the council's Bronze, Silver and Gold Medallion architecture, ensuring that transformations … reusable data products and reporting layers are consistent, scalable and supportable Review and strengthen Fabric and supporting Azure governance standards, including resource groups, subscriptions, ownership, tagging, RBAC, monitoring, cost management, workspace creation, lifecycle management and environment separation About you: You will have the following experiences: Proven experience designing ...

system of record has evolved into a broader platform for operating people globally. With Athena, our agentic AI layer, Humaans moves beyond data management into intelligent orchestration, connecting workflows across HR, IT, Finance, and Operations so organisations can act faster and with greater confidence, redefining how work gets … come from SDR, RevOps, growth, or product backgrounds. If you\'ve been the person quietly wiring Clay into your CRM and automating your own pipeline, this is the role for that instinct. This is an in-person role. Our GTM team comes together in the office Monday through Thursday ...

visibility into positions, signals, risk, and overall system health Improving platform reliability, observability, testing, documentation, and automation across the development lifecycle Debugging complex data pipelines, signal implementations, and production workflows Leveraging AI-assisted development tools and automated workflows to accelerate delivery and reduce operational burden Identifying recurring operational … software engineering best practices including testing, version control, code review, monitoring, and modular design Strong debugging and problem-solving capabilities across complex data and technology workflows Comfortable operating in a highly collaborative front-office environment working directly with PMs and researchers Strong ownership mentality with the ability ...

Tech Lead – Data Platform12-month contract | Fully Remote We are working with an early‐stage technology company building a data‐intensive B2B SaaS product for enterprise customers. The platform combines large‐scale data pipelines, analytical and modelling capabilities, and a modern web application. … take ownership of the technical direction, architecture and engineering delivery across the platform. What you'll do Own the technical architecture across data, backend and product. Lead a small engineering team across delivery, priorities and technical direction. Translate product requirements into practical technical plans. Remain hands‐on, writing ...

Software Engineer - Senior Department: Factor Employment Type: Permanent - Full Time Location: London, UK Description Factor is an API driven, AI powered retail data platform for global energy utilities. We use deep machine learning to help energy retailers accurately value the energy they sell: improving margins, unlocking more competitive … priced, forecast, and delivered globally. As a senior engineer, you will play a pivotal role in developing the core of our system: scalable data pipelines, pricing engines, and APIs that support real time decision making for energy retailers and their customers. You’ll work in a highly capable ...

just use AI to move faster; you'll help shape how it's applied across our engineering practice. Design and build data pipelines and the data layer. Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale. Implement and enhance quant … related software systems for data, research, portfolio construction, and trading. Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions. Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through ...

cutting-edge technology, AI-driven content creation, and cloud-native platforms, we’re evolving from traditional shoot-led production to a scalable, data-driven content engine enabling faster speed to market, richer personalisation, and truly immersive shopping experiences. This is a unique opportunity to shape how millions … developing AI solutions using LLMs and generative AI, including iterating on prompts and workflows to improve output quality Building and maintaining scalable data pipelines, applying best practices in data preparation to ensure quality and reliability Helping to standardise and reuse AI workflows, making it easier ...

production, including accuracy, usefulness, failure modes, and edge-case handling; Improve model performance through evaluation frameworks, feedback loops, and real-world usage data; Define and track success metrics such as accuracy, resolution rate, and time saved; Diagnose poor outcomes and close the gap between technical operation and business … results; Partner with Data Engineering on shared platforms, infrastructure, CI/CD, data pipelines, security, and governance; Contribute to shared standards, schemas, and best practices for AI systems Требования: Strong software engineering background with Python or similar; Track record of building production systems, not just prototypes ...

across Checkout, while ensuring AI technologies are deployed in a safe, governed, and resilient manner. The successful candidate will work closely with Engineering, Data Governance, GRC, and business teams to embed security into AI systems, assess AI-related risks, and help the organisation adopt AI securely at scale. … will act as the bridge between cyber security and emerging AI technologies. You will help shape how Checkout secures AI tools, models, data pipelines, and supporting infrastructure, while also identifying opportunities to use AI to strengthen cyber defence capabilities. This is a hands-on role suited to someone ...

leading technology company is seeking a Data Scientist to develop data pipelines and machine learning models. This role involves working collaboratively within product squads and encompasses comprehensive responsibilities in optimizing decision-support products. Candidates should have strong knowledge of machine learning techniques, be proficient in Python ...

Coforge is seeking a Senior Forward Deployed Engineer in London to blend hands-on software and data engineering with direct client delivery. You will own relationships, scope complex problems, and guide junior engineers while building tooling for production. The role emphasizes Python development, data pipelines, dashboards ...

with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data andMLOps/LLMOpspipelines for training … practical, efficient, and scalable AI and Machine Learning solutions Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &MLOps Customize and apply Deep Learningand Gen AI models for various use cases based ...

with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps &MLOpspipelines for training … practical, efficient, and scalable AI and Machine Learning solutions Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &MLOps Customize and apply Deep Learningand Gen AI models for various use cases based ...

Developer Advocate) within the cloud computing industry. Experience designing, architecting, and deploying cloud-native applications, containerized environments (Kubernetes/GKE), and modern data pipelines. Preferred qualifications: Experience working directly within or as a technical advisor to high-growth, venture-backed startups or scaleups. Background as a CTO, lead … architect, or head of engineering at a startup, or equivalent experience navigating fast-paced startup lifecycles. Strong understanding of modern data warehouse architectures, real-time analytics, and data governance (e.g., BigQuery, Spark, Kafka). Deep technical expertise in Generative AI development (e.g., prompt engineering, model tuning ...

Senior Forward Deployed Engineer (FDE) London Financial Data Platforms Join one of the fastest growing fintech scale‐ups in London who are operating at the heart of the investment lifecycle, working with some of the biggest names in finance across the globe. This role suits a senior software … business problems into platform structures; debug across the full stack and pinpoint root causes Work on cutting edge solutions Build and configure client data pipelines, integrations, queries, workflows, and config‐driven deployments Mentor engineers and graduates; set quality and engineering standards through code review and design guidance What ...

Analyst - Finance Team We’re looking for a FP&A Analyst You’ll translate complex financial data into useful management information and produce annual budgets aiding long-term planning and growth. The company Small businesses move fast. Opportunities often don’t wait, and cash flow pressures can appear … growing, SMEs need finance that’s as flexible and responsive as they are. That’s why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it’s needed. ...

accuracy, resolution rate, and time saved. Diagnose cases where systems are technically "working" but producing poor outcomes, and close the gap. Partner with Data Engineering on shared platforms (infrastructure, CI/CD, data pipelines, security and governance) and contribute to shared standards, schemas, and best practices ...

machine learning and drug discovery work. Reporting to the VP of Engineering, you will work closely with your team and peers across Engineering, Data Science and Machine Learning to define and evolve Relation’s platform strategy. Our platform spans on-premises infrastructure and public cloud environments, supporting computational … evolve alongside the needs of our science. Day to day, you will Partner with the VP of Engineering and peers across Engineering, Data Science and Machine Learning to define and evolve Relation’s platform strategy. Own the architectural strategy for our Kubernetes-based clusters and broader hybrid infrastructure ...

Associates is seeking a Data Engineer in Greater London to join multidisciplinary teams delivering modern data solutions. You will design and build data pipelines, models and analytics products, working closely with clients, designers, analysts and engineers to turn business problems into scalable data ...

About the Role Lead a team of Forward Deployed Engineers to design, build, and deliver complex, production-ready Notion integrations, agents, automations, and data migrations for enterprise customers across EMEA. Combine people leadership, hands-on technical judgment, and customer-facing delivery to ensure successful implementation and long-term … technical and delivery advisor to customer engineering, IT, security, and business leaders. Guide design, build, and operation of custom agents, integrations, automations, and data pipelines connecting Notion with customers’ systems. Oversee large-scale content and data migrations, including discovery, scoping, data modeling, transformation, validation ...