351 to 375 of 556 Data Pipeline Jobs in London

keep our customers' needs in mind. To provide the best experience for businesses, we prioritise projects using deep research based on the data, collect the feedback from customers and learn from our mistakes. At Wise, we believe in independent teams where we define our priorities ourselves and everyone … deep understanding of JDBC and database internals. Experience with CI/CD pipelines and Distributed and Concurrent Systems Experience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plus A strong product mindset and passion ...

focus on strengthening and optimising our Security Information and Event Management (SIEM) platform. You will be responsible for onboarding new log sources, improving data pipelines, developing advanced detection use cases, and supporting incident response activities. This is an excellent opportunity for a security professional who enjoys building scalable … reduce false positives SOC & Incident Response Support Partner with SOC analysts to refine detection logic Support investigations through advanced SIEM querying and data analysis Provide subject matter expertise during complex security incidents Documentation & Governance Maintain clear documentation of SIEM architecture, data models, and detection logic Ensure ...

Product Analyst who is passionate about our mission of Money Without Borders to partner with our financial crime product teams to help drive data-driven and innovative growth decisions while helping to combat financial crime. At Wise, we strike a critical balance between user experience and the stringent … provide visa sponsorship for this role. Applicants must have the right to work in the UK. Key Responsibilities: Expose the vast amount of data available to the organisation in a meaningful and actionable way in which people can proactively access the information without friction or need for analyst ...

innovative geospatial solutions within a risk and analytics environment. This is a hands-on role focused on building production-grade geospatial services, spatial data pipelines and interactive mapping solutions. You'll work closely with architects, product leaders and engineering teams to develop scalable GIS platforms while making … delivery. What You'll Be Doing Designing and developing geospatial services and APIs that underpin business-critical analytics products. Building and maintaining spatial data pipelines for ingesting, transforming and validating large geospatial datasets. Applying advanced GIS expertise across coordinate systems, spatial analysis, topology, cartography and data ...

United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across … MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior ...

Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event‐driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … coding, reviewing, debugging, and improving production systems that support AI‐powered products and services Design and build scalable backend services, application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real‐time and batch AI workloads at enterprise scale Implement advanced large language model applications using ...

Oriented Programming (OOP) to build intelligent, scalable automation solutions, while actively driving the adoption of AI-powered testing tools, autonomous test agents, and data-driven quality insights to modernise the testing lifecycle for our clients. Key Responsibilities Embeds Shift Left & AI-Assisted Quality Practice by engaging in quality … Python. Leverages Cloud & AI-Integrated Test Infrastructure. Operates within AWS/GCP environments to execute cloud-native and distributed test execution, manage test data pipelines and monitor logs and quality signals within CI/CD pipelines. Drives Agentic AI in Testing. Designs, implements and experiments with Agentic ...

maintenance. Produce technical designs, testing strategies and implementation plans. Partner with Finance stakeholders to understand business needs and translate them into process workflows, data requirements and specifications. Build reusable solutions and identify opportunities for cross-divisional collaboration. Contribute to data modelling and curation. Basic Qualifications Bachelor … Computer Science, Mathematics, Electrical Engineering or related discipline. 6+ years of software development experience. Strong analysis and design skills, plus knowledge of data structures, algorithms and performance-oriented design. Strong communication skills with both technical and business audiences, and comfortable working with multiple global stakeholders. Expert Knowledge ...

maintenance. Produce technical designs, testing strategies and implementation plans. Partner with Finance stakeholders to understand business needs and translate them into process workflows, data requirements and specifications. Build reusable solutions and identify opportunities for cross-divisional collaboration. Contribute to data modelling and curation. Basic Qualifications Bachelor … Computer Science, Mathematics, Electrical Engineering or related discipline. 6+ years of software development experience. Strong analysis and design skills, plus knowledge of data structures, algorithms and performance-oriented design. Strong communication skills with both technical and business audiences, and comfortable working with multiple global stakeholders. Expert Knowledge ...

Cloud ecosystem. Key Responsibilities Lead end-to-end technical architecture and solution design for Salesforce Marketing Cloud implementations, migrations, and enhancements. Design robust data models and seamless integration patterns connecting SFMC with Core Salesforce (Sales/Service Cloud), Data Cloud and enterprise data warehouses … AMPscript, and SQL queries. Partner closely with marketing operations, enterprise architects, and business leaders to align technical strategy with core business KPIs. Establish data governance, security protocols, API management, and campaign execution standards across the platform. What We’re Looking For 4+ years of hands-on experience architecting ...

coherent, scalable, secure, and aligned with fiduciary obligations. Responsibilities AI Architecture & Strategy: Define and maintain the Enterprise AI Architecture spanning model infrastructure, data pipelines, orchestration layers, integration patterns, and governance controls. Develop reference architecture for agentic AI systems and multi‐agent workflows, establishing standards for MCP and model … context protocols. Create AI reference architectures for investment and front‐to‐back office use cases. Drive integration of AI capabilities with core data platforms and content platforms, leveraging RAG and MCP to unlock proprietary data assets. Governance & Risk: Design and operationalize AI governance, covering model risk ...

consumer panel platform. This is a hands-on product leadership role, responsible for shaping product strategy, defining roadmaps, and working cross-functionally with data, engineering, commercial, and operations teams to turn complex behavioural and AI interaction data into valuable client-facing products. The Role … product development across dashboards, workflows, analytics, and user-facing features. Take ownership of a consumer panel platform, improving user experience, engagement, retention, and data quality. Partner closely with engineering, data science, analytics, sales, and leadership teams to deliver high-impact products. Requirements Background in data ...

first credit products. In this role you’ll partner closely with a high performing global team consisting of the product lead, engineers, data scientists and designers to deliver a world class credit product. You will be expected to be hands on with the data and grow … small team of analysts as the product scales. What You’ll Do Partner with Data Science to challenge and stress-test credit risk modelling assumptions for our SME customers (including scenario and sensitivity testing), ensuring decisions are robust and explainable. Leverage market insights and publicly available data ...

Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that … explainability for our sustainability solutions. Bloomberg's sustainable finance solutions are built on comprehensive, reliable, and contextualized environmental, social, and governance data, helping investors see clearly and act with confidence. Our team powers the ML systems behind these solutions, enabling clients to surface opportunities in a shifting landscape ...

Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that … Engineering, or related fields and previous relevant work experience Proficiency in software engineering with Python, including experience with production ML infrastructure (model serving, data pipelines, evaluation frameworks) Familiarity with LLM-based systems for structured information extraction from unstructured text An understanding of Computer Science fundamentals such as data ...

models are scalable, secure, explainable, and governed to enterprise‐grade standards. You will contribute to the strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross‐account productionisation. You will mentor engineers, influence product and architectural decisions … engineering and AWS-native MLOps. Key Responsibilities Technical Leadership & Architecture Define the end‐to‐end ML architecture for the matching platform, including data pipelines, model training workflows, inference runtimes, and telemetry ecosystems. Lead adoption of best‐in‐class MLOps patterns, platform tooling, and AWS SageMaker capabilities across training ...

grow the ABF market beyond $40 trillion, we're building a future defined by speed, confidence, and innovation. By combining automated workflows, comprehensive data, and AI-driven insights, we transform complexity into opportunity, enabling our clients to unlock growth and stay ahead. The Data Science … Manager to lead our application of AI across the platform and the business. You will work on genuinely hard problems: structured finance data is complex, high‐stakes, and largely unstructured, and you will build systems that actually change how the market operates. This is not a research role ...

conversational applications, retrieval-augmented generation, semantic search, intelligent document processing, computer vision and workflow automation solutions. Integrate AI capabilities with enterprise applications, APIs, data platforms, security controls and operational workflows. Balance customer value, functionality, speed, scalability, cost, security and technical complexity. Forward-Deployed Customer Engineering Work directly with … customers to diagnose ambiguous and mission-critical business or operational problems. Adapt and extend AI products within customer environments, including integration with proprietary data, systems and workflows. Collaborate with customer stakeholders from discovery through implementation, testing, launch and adoption. Build practical solutions rapidly while maintaining engineering, security ...

Data Annotation & Tooling Engineer Location: Remote (UK) Salary: DOE About the Role We're looking for a Data Annotation & Tooling Engineer to help build the high-quality datasets that underpin cutting-edge computer vision and AI systems. This is more than a traditional data … responsible for developing and improving annotation workflows, maintaining tooling, ensuring dataset quality, and working closely with machine learning engineers to create reliable training data for advanced computer vision models. You'll play a key role in ensuring data quality throughout the machine learning lifecycle, helping improve ...

Wedo Technology Solutions Ltd. is seeking a Staff Data Engineer in London to lead modernisation of large-scale data pipelines. You will blend hands-on PySpark and Python with enterprise-wide technical influence across multiple teams. In this contract role, expect to define standards, build reusable … data movement frameworks and drive best practices with AWS Glue, Spark and Airflow in a regulated environment. London-based with on-site presence three days a week. #J-18808-Ljbffr ...

/AI Engineer Are you excited about building intelligent systems powered by innovative AI technologies? Do you enjoy creating solutions that turn complex data into impactful outcomes? About the team Embedded Innovation Teams are cross‐functional squads embedded within our segments to rapidly turn internal AI experimentation into … patterns, reference implementations, and starter kits so work done in one function can be picked up by another. Instrument solutions to capture outcome data against baselines. Work alongside host‐function stakeholders to ensure the build fits real workflows, not assumed ones. Support handover and capability‐building ...

London Stock Exchange Group is seeking a Senior Cloud Data Architect to drive the data architecture across Risk Intelligence products. You will design secure, scalable data pipelines in cloud environments and mentor engineers to ensure alignment with product goals. You will collaborate with enterprise … teams to deliver high-quality data for prescriptive and predictive analytics, governance, and delivery roadmaps in a fast-paced environment. #J-18808-Ljbffr ...

vision, strategy, and execution of Greyparrot’s dual-pronged product ecosystem. Your work will bridge the gap between sophisticated hardware deployment and deep, data-driven AI software platforms. This is a pivotal executive role for a platform thinker. Greyparrot operates across two distinct buyer markets - recycling facility operators … brands and regulators who depend on packaging performance data - served through a single underlying AI intelligence platform. The VP of Product owns the roadmap and architecture logic that connects these two surfaces, ensuring the right sequencing of investment so that growth in one directly compounds the value delivered ...

Overview The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase. AI Engineering tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning … term projects in these areas that require significant machine learning development to support JPMorgan Chase businesses as they grow. Responsibilities Collaborates with engineers, data scientists, and product owners, to deliver products to production. Builds and maintains data pipelines for analytics, model evaluation, and training (includes versioning ...

Beyond closing deals, we use customer engagements as opportunities to prototype and ship improvements to Klaviyo. Recent team projects include AI-powered demo data generators, a public Chrome extension for troubleshooting API calls, web SDK injectors, and templatized mobile apps that showcase our SDK capabilities. … Learning Library and mentor peers through example Operate with Deep Technical Mastery and Innovation Become an expert across Klaviyo’s platform, from data pipelines and integrations to technical trade-offs between implementations Develop broad, advanced familiarity with web development, APIs, cloud computing, and modern software development practices Confidently ...