151 to 175 of 249 Data Ingestion Jobs in London

Language AI platform provides human-like translation, improved writing, and real-time voice translation for individuals and businesses worldwide. Задачи Build and evolve data platform infrastructure, including the Databricks-based lakehouse, Kafka consumers, and foundational tooling for data engineers Support and extend dlt to make data ingestion patterns reusable and robust Make technical decisions that enable the platform to scale with DeepL’s data volume and use-case diversity Build connectors, interfaces, and integrations that bring data to humans and AI agents, including MCP connectors and workflow skills Design AI-powered data workflows ...

Jobtailor in London is seeking an experienced Data Engineer to build and maintain ingestion pipelines into the data warehouse, orchestrate data flows, and manage AWS infrastructure as code with Terraform. You will connect HR and payroll data pipelines, ensure secure, reliable data movement ...

work arrangement, which translates to 4 days minimum per week in the office.In this role, you’ll be a key contributor to HarbourVest’s data transformation journey - bridging the gap between raw data ingestion and analytics-ready assets that power AI, data science, and other applications. … work across teams to design modular, analytics-focused data workflows, model business logic, and deliver actionable insights. This hybrid role combines engineering rigor with analytical depth and business fluency, making it ideal for professionals who thrive at the intersection of data, technology, and strategy.The ideal candidate is someone ...

train, evaluate, and deploy models at scale - forming the foundation of Hollywood's AI transformation.Our team sits at the intersection of large-scale data systems, machine learning, and high-performance computing. We own the full stack, from data ingestion and curation through distributed training and production inference … machine learning engineers, and platform teams to design and build the systems that underpin model development and deployment. You'll contribute hands-on across data platforms, training infrastructure, evaluation systems, model lifecycle management, and production inference.More senior candidates will be expected to provide technical leadership, drive architectural decisions, mentor ...

arrangement, which translates to 4 days minimum per week in the office. In this role, you'll be a key contributor to HarbourVest's data transformation journey - bridging the gap between raw data ingestion and analytics-ready assets that power AI, data science, and other applications. … work across teams to design modular, analytics-focused data workflows, model business logic, and deliver actionable insights. This hybrid role combines engineering rigor with analytical depth and business fluency, making it ideal for professionals who thrive at the intersection of data, technology, and strategy. The ideal candidate ...

boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.The RolePhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The platform handles massive volumes of complex simulation data and enables high … role. You do not need to be a practising ML engineer, but you do need to be fluent in the language of ML and data platforms, ideally through prior hands on experience with ML platforms or data science work.The team sits in a highly infrastructure heavy domain without ...

train, evaluate, and deploy models at scale - forming the foundation of Hollywood's AI transformation. Our team sits at the intersection of large-scale data systems, machine learning, and high-performance computing. We own the full stack, from data ingestion and curation through distributed training and production … machine learning engineers, and platform teams to design and build the systems that underpin model development and deployment. You'll contribute hands-on across data platforms, training infrastructure, evaluation systems, model lifecycle management, and production inference. More senior candidates will be expected to provide technical leadership, drive architectural decisions ...

onchain state. You will also work closely with Quant Engineers. Quant owns the financial models, assumptions, validation, and calibration. Backend owns the production systems, data pipelines, and services that run those models. Smart contract engineers own their onchain integration and enforcement. How you can make an impact: Design, build … backend infrastructure for new DeFi protocols and vault products Build vault management, curation, and constraint-based allocation systems Build high-throughput blockchain indexers and data-ingestion pipelines Design performant, stable, and well-documented APIs for applications and internal systems Work with Quant Engineers to turn reviewed models into ...

that supports how our engineering teams build and operate complex systems at scale.Take the next step in your career.The roleAs a Security Data and Platform Engineer, you will combine broad security engineering expertise with deep knowledge of security data pipelines and Elastic Security.As the organisation’s Security Data … thinking to solve a broad range of security challenges.Working closely with SOC, CSIRT, Detection Engineering, Platform Engineering and Cloud teams, you will ensure security data is reliable, high-quality, cost-effective and fit for monitoring, investigation, threat hunting and compliance.Key responsibilities Key responsibilities of the role include:Acting ...

multiple roles within our FDE team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering … will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects, including ...

that supports how our engineering teams build and operate complex systems at scale. Take the next step in your career. As a Security Data and Platform Engineer, you will combine broad security engineering expertise with deep knowledge of security data pipelines and Elastic Security. As the organisation … Security Data SME, you will own the onboarding, tuning, stabilisation and evolution of security telemetry across cloud, hybrid and corporate environments. Alongside this specialist focus, you will contribute as a well‐rounded Security Engineer, applying software engineering, automation and platform thinking to solve a broad range of security challenges. ...

Career Opportunities: Data and Knowledge Graph Engineer (11420) Reply specialises in designing and implementing solutions based on new communication channels and digital media. Structured as a network of highly specialised companies, Reply supports leading European industrial groups in sectors such as Telco & Media, Industry and Services, Banking and Insurance … shared and machine-readable understanding of their business. You will work across diverse industries, translating complex domains into ontologies and knowledge graphs that connect data, systems, applications and AI solutions. From discovery and modelling through to production, you will own the end-to-end technical design, creating robust foundations ...

developed tools such as dashboards and portfolio management utilities). The engineer will play a key role in modernizing the platform architectures while improving data pipelines, system reliability, and development standards.You will work in a fast-paced environment requiring strong expertise in data engineering, application development, and distributed … tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‐generated code.Design, build, and maintain data engineering workflows and platform services supporting the Vision platform and model delivery ecosystemDevelop and extend platform components responsible for data ingestion, transformation ...

testing process, driving much of the testing at all stages.Experience in trading systems architecture: Familiarity with Order Management Systems (OMS), exchange gateway connectivity, market data ingestion and processing, as well as high-throughput, low-latency systems.You take a pragmatic approach to developing clean solutions to complex problems.Basic understanding … algorithms, data structures, databases and distributed systems is must.COMPENSATION & PERKSFull-time salary based on experience and meaningful equity in an industry-leading companyRole based in our London office, with a mandatory in-office presence four days per weekWork from Anywhere Policy: You can work remotely from anywhere ...

Their platform is designed for high-volume, real-time environments where accuracy and scalability are critical. The organisation works at the intersection of AI, data, and compliance, with strong investment in innovation and product development. You will join a collaborative, distributed team with regular opportunities to connect in person … across global locations. The Role Own end-to-end delivery of NLP and AI features, from data ingestion through to deployment and optimisation Build pipelines to process and analyse multimodal data including audio, video, text, and images Develop capabilities across transcription, classification, and modelling at production scale ...

Trayport is seeking a highly technical Business Intelligence Engineer to join our BI team in London. You will architect a robust data warehouse, automate data ingestion, and deliver user-friendly dashboards that surface actionable insights for stakeholders. You will collaborate across Data Engineering and BI Analysts … mentor teammates, and translate complex data concepts for executives. The ideal candidate combines deep SQL, Python, data warehousing expertise, and a passion for data-driven #J-18808-Ljbffr ...

deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Senior Data Analyst Location: Weybridge, Surrey, United Kingdom Established in 2004, Inside Ideas Group is a rapidly growing global agency network that helps clients drive their … enhance efficiency, support smart decision making and unlock new levels of creativity for our teams and clients. We are now looking for a skilled Data Analyst to join our onsite team supporting in London. About the Role As the Data Analyst, you will be responsible for delivering insight ...

vehicle demand, demand forecasting, predictive maintenance, price optimization, and developing and maintaining production-grade agentic RAG systems that serve the entire firm.As a Senior Data Scientist, you will provide guidance, leadership, and mentorship to junior members of the team, while simultaneously managing smaller projects or workstreams on larger projects. … best practices.What You’ll DoData ManagementDevelop and oversee comprehensive ETL processesDesign and maintain functional relational databasesStructure and perform quality control procedures for data ingestion, querying, and usagesData Analysis Perform exploratory data analysis and render key insights through evidenced resultsExecute data quality assessmentsIllustrate material understandings through coherent ...

Senior Product Manager to take the lead on our Customer, Access and Identity roadmap, owning a portfolio of initiatives that bring together our customer data and modernise how customers access our products. This is a pivotal role in shaping how we identify, authenticate, and understand our customers across … central access management platform and driving the roll‐out of single sign‐on (SSO) and SAML across our estate. Working closely with Engineering Leads, Data teams, Commercial and Operations stakeholders, and third‐party vendors, you will translate a complex, cross‐system landscape into a clear, prioritised delivery plan ...

client: Bank --------------------------------------- JOB DETAILS Role Title: Technology Architect Technology Architect – Databricks with over 12 years of experience in designing and leading large scale data engineering, analytics, and cloud transformation initiatives. The ideal candidate will have deep expertise in Databricks, big data architectures, cloud platforms (Azure), and modern data … will be responsible for defining end to end architectural solutions, driving best practices, and guiding engineering teams to deliver scalable, secure, and cost optimized data platforms. \* Design end to end data platforms leveraging Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and ML/AI workloads. \* Define data ...

ambitious mission to one day solve all disease with the help of AI.Your impact You will collaborate to build a high-fidelity biological data layer that serves as the foundation for machine learning at Isomorphic Labs. Moving beyond raw data ingestion to create curated biological datasets … will ensure model training is consistently grounded in high-quality, standardized, and version-controlled biological data. Harmonizing disparate public datasets and internal data into a coherent representation, you will unlock the information needed to fuel our mission to solve all disease.Working in an interdisciplinary environment, you will partner with ...

Overview Working closely with Business Integrators, data scientists, engineers, and client stakeholders, the AI Solutions Engineer leads the technical design and implementation of AI-driven solutions. The role combines deep technical expertise with leadership skills to guide teams in building high-quality AI systems that deliver real business value. … Solutions Engineer also ensures that solutions are aligned with enterprise architecture standards, data governance principles, and responsible AI practices. Key Responsibilities Design AI Solution Architectures Translate business use cases into scalable AI and data architectures. Define the technical approach for AI solutions, including model architecture, data pipelines ...

role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering … project managers. Supporting portfolio and programme forums: preparing materials, tracking actions, and following up to closure. Maintaining RAID logs and helping keep project data accurate and up to date. Tooling and automationWriting Python scripts and small applications to support PMO workflows, including data collection, reporting, and automation across ...

Global Banking Markets - Software Engineer, Data Platform - London - Vice President location_on London, Greater London, England, United Kingdom GLOBAL MARKETS Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products … passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor. Job Description Data Platform team is responsible for platform architecture development to provide scalable, resilient, performant, adaptable stack that meet the evolving needs of different business lines globally. ...

directly with research staff to advance our quantitative trading strategies. You will translate novel research ideas into production-quality code, build and maintain the data pipelines and modeling infrastructure that underpin our strategies, and apply your own strong mathematical intuition to solve open-ended technical challenges. This role lives … engineering standard. Responsibilities Partner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategies Develop and maintain complex data pipelines, including data ingestion, feature engineering, validation, and quality monitoring Translate research prototypes and novel ideas into performant, well-tested, production-ready ...