101 to 125 of 127 Data Pipeline Jobs in Central London

Cushman & Wakefield seeks a Senior Data Engineer to drive data transformation across EMEA & APAC. You will advance a Databricks-native Lakehouse, build agentic workflows, and own end-to-end data pipelines. The role demands architectural judgment, cross-domain depth, and a hands-on approach … complex data problems. You will report to a team lead and collaborate with analytical engineers to push the frontier of what is possible in enterprise AI-enabled data platforms. #J-18808-Ljbffr ...

Google Inc. is seeking a Senior Data Scientist in London to advance reliability analytics. You will design ML tools and data pipelines, influencing platform reliability and change management across Google Cloud Platform. The role emphasizes collaboration with engineering and product teams to drive data-driven improvements. The Reliability Analytics Team aims to improve decisions and systems on PRE through advanced data science, statistical methods, and generative AI approaches to benefit #J-18808-Ljbffr ...

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 ...

Liberty Wines Ltd is transforming its data estate by migrating to a cloud-based analytics platform using BigQuery, Snowflake, dbt, Looker and Omni. As our Data & Analytics Engineer, you will shape the platform from the ground up, covering data engineering, modelling, reporting and stakeholder … enablement. You will design scalable data pipelines, optimise performance and cost, implement governance, and collaborate with consultants to embed a data-driven capability across Sales, Buying, Ops and #J-18808-Ljbffr ...

APIs, orchestration frameworks, RAG and retrieval patterns Making informed decisions between different models, platforms, low-code solutions and custom development Designing integrations, APIs, data pipelines and the underlying data architecture required by AI applications Working extensively across Microsoft technologies including Copilot Studio, Power Platform, Azure … Microsoft 365 Establishing reusable architectural patterns and engineering standards Considering security, governance, performance, resilience, data residency and cost throughout solution design Providing technical direction and mentorship to engineers Supporting client conversations, technical discovery, proposals and pre-sales activity Presenting complex technical concepts credibly to both technical ...

boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Who We're Looking For As a Data Scientist in Delivery, you are a problem solver and builder who is passionate about creating practical solutions that enable customers to make better engineering … transform cutting‐edge AI models into tools that are useful and used. You’ve worked on difficult problems that require strong foundations in data driven modelling and deep learning techniques, with hands‐on experience in probabilistic methods and predictive modelling. Expertise in python, along with proficiency in libraries ...

About the Role Protection Science Engineering is an interdisciplinary role mixing data science, machine learning, investigation, and policy/protocol development. As a Protection Scientist Engineer within Integrity and Investigations, you will be responsible for designing and building systems to proactively identify and enforce on abuse on OpenAI … investigate critical escalations, especially those that are not caught by our existing safety systems. This will require expert understanding of our products and data, and involves working cross‐functionally with product, policy, and engineering teams. This role is based in our London office and includes participation ...

evolve the technical systems that power P&T Business Operations - Jira architectures, data pipelines, dashboards, and integrations with enterprise platforms. You identify where operational capability could be stronger, scope those opportunities, and design and build solutions in collaboration with the Business Operations Manager. You approach problems with … first mindset and make technical decisions with clarity about trade-offs. Own and evolve the standardisation of Jira and other Kaluza data systems. Configure, extend, and redesign them to support increasingly complex business operations. Build and maintain reliable data pipelines and dashboards that turn raw operations ...

research or research engineering, including experience leading technical projects. 3 years of experience training, adapting, or evaluating large-scale foundation models, and building data pipelines for heterogeneous datasets. 3 years of experience with modern machine learning frameworks (e.g., JAX, PyTorch, TensorFlow) and distributed training on accelerators. 3 years … research projects. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. Experience modeling longitudinal or multimodal real-world data (e.g., audio, wearable sensor data, health records). Experience profiling and debugging distributed training on TPU or GPU clusters (including handling data ...

Rates Swap Derivative products and Options products . You will be responsible for developing scalable, performant code that handles large volumes of market data and complex financial calculations. This includes implementing risk metrics, PnL attribution frameworks, and data pipelines that connect trading systems with downstream consumers. … rates products including Swaps, Securities, Options, and Repo Familiarity with risk methodologies and PnL calculation frameworks Experience with distributed systems and real-time data processing Proficiency with relational and NoSQL databases Knowledge of modern development practices including CI/CD pipelines and containerization Exposure to quantitative finance concepts ...

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 ...

build and rollout. This is genuinely forward-deployed work. You'll be embedded within the client's environment, working with their real data and operating within their security and technology landscape. The expectation is to have a working prototype within the first few days of an engagement, with … making each engagement faster, smarter and more effective 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 ...

years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: Experience with data pipelines. Knowledge of SQL. Strong understanding and experience with production systems. Ability to manage issues and evolving changes in the areas of software design … looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will ...

Opus Recruitment Solutions Ltd is seeking a Senior Data Engineer with strong Quantexa experience for a London-based hybrid contract role. You will design and deliver scalable big data pipelines, enable entity resolution and network analytics, and integrate data across varied sources in cloud … environments. You will work with a high-caliber team on large-scale transformations, ensuring data quality, governance, and security while contributing to multi-million-pound client engagements. #J-18808-Ljbffr ...

Hackajob Ltd in London is hiring a Data Engineer at Vice President level for a full-time role based in London. The VP-level role will lead the design and governance of data platforms, oversee global data pipelines, and work closely with senior leadership … drive data strategy and analytics initiatives. The position emphasizes scale, performance, and collaboration across business units. #J-18808-Ljbffr ...

Highbury Consulting in London’s City core seeks a C++ Senior Software Engineer focusing on Data Analytics, with QT and Python. You will contribute to cross-domain data pipelines, optimize algorithms and collaborate on UI/UX-informed developer interfaces. The role targets permanent hires, requires ...

include building workflows, integrating codecs with AI and media frameworks, and exploring how LCEVC and VC-6 can reduce the amount of video data, decoding and processing required by AI applications. The Integration Team's day-to-day work is dynamic. You will collaborate with codec engineers … tools and sample applications for V-Nova's LCEVC and VC-6 technologies within AI video workflows. Integrate codec SDKs into video curation, data preparation and inference pipelines, including workflows using technologies such as NVIDIA NeMo Curator, with either native integrations or via frameworks such as FFmpeg ...

PhysicsX is seeking a Data Scientist in Delivery to translate AI models into practical tools for customers. You will work closely with Simulation and ML Engineers, plus on-site customer teams, to tackle engineering challenges across multiple industries. You’ll pre-process data, build deep learning … solutions, and design robust data pipelines while collaborating with customers to ensure impact and practical adoption. #J-18808-Ljbffr ...

Coforge is seeking a Senior Forward Deployed Engineer to embed with client teams, understand business problems, and deliver production-grade data tooling. The role blends data engineering, backend work, and client-facing responsibilities in a senior/lead capacity. You will move fluidly between data ...

Allocator seeks an Agentic AI Developer to build AI-powered software for institutional investors. You will work with AI assistants, data pipelines, and internal tooling to deliver platform features end to end. You’ll collaborate with Data, Product, and Client Success teams to identify friction points ...

What will the Staff Product Engineer bring? Strong development expertise with Node.js/Typescript and React. Experience designing secure, scalable backend systems (authentication, data pipelines, APIs) and/or seamless UI for complex real-time data/AI solutions. Familiarity with modern cloud infrastructure ...

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 ...

consumer product. This is a full-stack role with Python at its core; you'll own problems end-to-end across APIs, async data pipelines, databases, integrations, infrastructure, and web/mobile when needed. You'll work directly with the CTO and an experienced engineering team, alongside product … from early idea through production and iteration Work primarily in Python, moving across the stack when needed Build APIs, integrations, async data-processing pipelines and backend systems powering personalised product experiences Contribute to our React and React Native apps, working closely with design Shape product ideas directly with ...

Harnham in London is seeking a Data Engineer to own the data infrastructure and production pipelines powering a live lending platform. You will own the design, development and deployment of data pipelines and Lambda-based decisioning processes. The role focuses on building ...