1,276 to 1,300 of 1,510 Data Pipeline Jobs in London

Saragossa, a London-based asset manager, is seeking a senior data engineer to own and shape the next generation data platform. You will design and build data pipelines, collaborate with stakeholders, and drive robust, scalable solutions on a modern stack including Snowflake, Python ...

more): Native multimodal modelling (vision-language, audio-vision, cross-modal) Pre-training/post-training (SFT, DPO, RLHF/RLAIF) at scale Data engineering & synthetic data pipelines Agentic frameworks, reasoning, tool use, memory systems Evaluation & benchmarking (LLM-as-judge, safety/alignment metrics) Inference optimisation (quantization ...

About Modo Energy The energy transition is the biggest infrastructure buildout in human history. Modo Energy is the data platform at the centre of it. About Modo Energy The energy transition is the biggest infrastructure buildout in human history. Modo Energy is the data platform … depend on to make decisions. If a battery gets financed, built, or traded anywhere in the world, there's a good chance Modo data was in the room. Founded in 2019, we're 90+ people across London, New York, Sydney, and Madrid; $30M Series B, AI-native ...

Team Affiliate Operations powers the technology that connects millions of shoppers with the world's leading fashion brands. Our squad builds the platforms, data products, marketing services, and bidding systems that drive business-critical customer acquisition, partner integrations, and revenue growth. We are a highly data … organization. We validate ideas through experimentation, measure success through business outcomes, and continuously improve our platforms using evidence. Our work involves large-scale data processing and distributed systems, requiring us to remain highly reliable while evolving to support new markets and acquisition channels. Reliability is fundamental to everything ...

Talan UK and Ireland (part of the Talan Group) is seeking a Senior Data & Digital Solutions Consultant to lead design, delivery and management of data pipelines for energy advisory projects. In this role you will collaborate with data AI, cyber security and solution architecture ...

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 ...

research or experimental environments with evolving requirementsProficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace)Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)Experience working with diverse data representations, including 2D and 3D geometryExperience with version control, reproducibility, and deploying machine … experimentation workflowsExcellent written documentation skillsPreferred QualificationsAdvanced degree (MSc/PhD) in Machine Learning, Computer Science, or related fieldExperience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)Experience with cloud services and architectures (e.g. AWS, Azure)Experience with LLMs or generative AI systems (fine ...

Mondrian Alpha is seeking a robust Data Engineer to join its London front-office technology team, building and maintaining data infrastructure that supports trading, research, and portfolio analytics across a multi-asset platform. You will own end-to-end data pipelines, ensure access … clean data for portfolio managers, analysts, and technologists, and collaborate with both tech and business stakeholders to improve data quality and platform reliability. #J-18808-Ljbffr ...

embed directly with Fortune 500 customers to ship deeply integrated AI agents—owning everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure that make them production‐ready. You'll partner closely with our Forward Deployed and Product teams to make sure … losing intensity. Provide holistic technical oversight. Maintain a deep working understanding of every layer of what we ship—agents, models, evaluations, backend services, data pipelines, and cloud infrastructure—so you can review architectures, debug production issues, and raise the quality bar across every engagement. Partner with Product ...

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 ...

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 processingProficiency with relational and NoSQL databases Knowledge of modern development practices including CI/CD pipelines and containerization Exposure to quantitative finance concepts ...

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 ...

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 ...

quantitative analysts, traders, risk managers, product managers, and other technology teams. Develop scalable, high-performance Python code to process large volumes of market data and perform complex financial calculations. Implement risk metrics, P&L attribution frameworks, and data pipelines connecting trading systems to downstream consumers. Participate … products including Swaps, Securities, Options, and Repo. Familiarity with risk methodologies and P&L calculation frameworks. Experience with distributed systems and real‐time data processing. Proficiency with relational and NoSQL databases. Experience with web technologies such as React. Knowledge of modern development practices including CI/CD pipelines ...

foundational layer within Spotify's ecosystem. As a small team, our work spans across the stack: you’ll work as much on data pipelines and backend APIs as you will on our web app. The ideal candidate is a generalist at heart — someone who's equally at home … gets results without waiting for someone else to own adjacent layers. Responsibilities Build and maintain across the stack: Contribute to backend services, APIs, data pipelines, and where needed, frontend interfaces, embracing Spotify's infrastructure patterns and continuing making WhoSampled the industry-leader in showcasing the story behind ...

Storage Architect - Engineering Technologist Infrastructure Solutions Group (ISG) builds the products that power infrastructure, solutions, and data management our customers need most. Our teams design and develop the hardware and software that connect infrastructure, accelerate computational workloads, integrate across the stack, protect data continuity, and deliver … rely on every day at enterprise scale. Storage Architect - Engineering Technologist Infrastructure Solutions Group (ISG) builds the products that power infrastructure, solutions, and data management our customers need most. Our teams design and develop the hardware and software that connect infrastructure, accelerate computational workloads, integrate across the stack ...

their personal style as well as current fashion trends. This is a senior individual contributor role where you'll work closely with engineers, data scientists and product partners to productionise machine learning at scale. Our mission is to continuously improve the customer experience through thoughtful, responsible and high … this space)Familiarity with modern deep learning frameworks and distributed computing approaches for training large‐scale modelsExperience training models across GPUs using data and/or model parallelism, or enthusiasm to deepen your knowledge in this areaA solid understanding of software engineering principles, including data pipelines ...

front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents … Required* Java* JVM-based languages* Spring framework* Scalable web applications* React* Javascript* Typescript* CI/CD pipelines* Distributed Systems* Concurrent Systems* Product mindset* Data-driven decisions* Relational databases* Non-relational databases* Query optimisation* Resilient schema design* Test Driven Development* Problem-solving* Communication skills* Machine learning lifecycle* Data ...

reflect their personal style as well as current fashion trends.This is a senior individual contributor role where you’ll work closely with engineers, data scientists and product partners to productionise machine learning at scale. Our mission is to continuously improve the customer experience through thoughtful, responsible and high … this space) Familiarity with modern deep learning frameworks and distributed computing approaches for training large‐scale models Experience training models across GPUs using data and/or model parallelism, or enthusiasm to deepen your knowledge in this area A solid understanding of software engineering principles, including data ...

between semiconductor manufacturing and quantum hardware, working closely with foundries, process engineers and quantum engineers. You will use electrical characterisation and large‐scale data analysis to understand manufacturing variability, identify the root causes of device behaviour, and feed those insights directly back into the semiconductor fabrication process. This … continuously improving high‐throughput screening methods to assess key device parameters including threshold voltage, gate oxide reliability and channel mobility. Turn electrical data into manufacturing insight, identifying patterns, variability and device failures and connecting them back to semiconductor process steps such as photolithography, etching, oxide growth ...

Woven, the data infrastructure arm of Toyota, is seeking a Senior Software Engineer in London to help scale the data platform powering AD/ADAS and autonomous driving initiatives. You will work on Python-based services, data pipelines, and distributed systems that ingest, process … store petabytes of vehicle data. You will collaborate with ML and data teams, deploy on AWS, and contribute to testing, observability, and build infrastructure. #J-18808-Ljbffr ...

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 ...

unique and fast-moving market. This is an opportunity to join a small, high-performing engineering team working on real-time systems, data pipelines, and automated trading strategies- where your work will have direct impact on performance and revenue from day one. The Role As a Software Engineer … working on a low-latency trading platform, building systems that: Process and analyse large-scale, real-time data Power pricing models and execution logic Identify and exploit inefficiencies in dynamic markets Enable automated decision-making and strategy deployment You’ll own problems end-to-end- from idea through ...

single model. Задачи Design and deploy advanced LLM models to automate complex manual processes across real-world industry verticals Build scalable data pipelines and optimize models for performance and accuracy Prepare models for production, monitor them, and maintain their value across governments worldwide Optimize advanced energy production systems … example with high-quality engineering practices Требования Hold a BSc, Master's, or PhD degree in Computer Science, Machine Learning, Data Science, or a related field Have impactful industry experience building GenAI-focused applications with technologies including Agents, reasoning models, and RAG Have high-level familiarity with ...