1,301 to 1,325 of 1,474 Data Pipeline Jobs in London

Data Platform Engineer City of London (Hybrid - 3 days on-site) | Contract | £700/day, Inside IR35 A well-established Japanese investment bank operating in capital markets is looking for an AWS Platform Engineer to join its cloud transformation programme. This is a build-and-run role … someone who's spent their career on AWS infrastructure and automation, and who's comfortable operating the data pipelines that sit on top of it. You'll be joining the Applications team, owning the AWS platform that data pipelines and integration flows run on - provisioning ...

umbrella. The team focuses on machine learning for software, cybersecurity and infrastructure, delivering production-ready solutions at scale. The role collaborates with engineers, data scientists and product owners, builds data pipelines, and writes secure, high-quality production code while driving architectural improvements and governance across ...

Design and build the technical infrastructure that powers our trading systems and on-chain strategies. Develop data pipelines, execution engines, and internal analytics tools, collaborating with portfolio managers and researchers to bring new strategies from concept to production. What You’ll Do Design and implement high-performance data pipelines to aggregate and process on-chain and off-chain data from multiple sources. Build and optimise execution systems, trading bots, and strategy deployment frameworks used across our portfolio. Develop internal analytics, risk monitoring, and performance dashboards to support investment decisions. Work alongside portfolio managers ...

autonomy. Platform Modernization: The multi-year trading platform consolidation transitions successfully from design to MVP with clear improvements in latency and deployment velocity. Data Governance: A centralized, group-level data capability is live with a published catalog and cross-divisional SLAs. Regulatory & Cost Control: Engineering consistently … engineering operations. Own OKRs, monthly business reviews, and delivery pipelines. Deputize for the CTO with the Board, ExCo, and external partners. Platform Consolidation & Data Strategy: Lead the multi-year unification of The Company's trading infrastructure across 80+ venues and 1,400+ markets. Oversee the creation of shared ...

Google's Reliability Analytics Team in London seeks a data-focused professional to design statistical and ML tools that improve platform reliability. You will build investigative data pipelines and influence engineering roadmaps by applying analytics to software rollouts and change management. You will collaborate with Platform … Reliability Engineering to deliver scalable solutions, work across product and engineering teams, and push data-driven decisions that enhance user experience and system #J-18808-Ljbffr ...

About Us Permutive’s mission is to rebuild data in advertising to protect privacy. The open internet needs a sustainable foundation that funds the free & open online experiences we all rely on. Permutive’s data collaboration platform uses edge technology to securely process data … looking for a Staff ML engineer to own optimisation across our platform. You\'ll be the domain authority on how we use data to make campaigns perform better — from how audiences are composed and scored, to how inventory is priced and allocated, to how campaigns are tuned over ...

alpha generation, research, development, and maintenance of analytics infrastructure. Responsibilities: Developing systematic trading strategies and alpha generating signals across commodity marketsEnhancing data collection procedures to support improved design, development and maintenance of data pipelines to be used in research/tradingAnalyze large, diverse datasets to identify … trends as well as building and maintaining models to support trading decisions. Including the use of AI and LLM'sExtract and organize data from a number of source options, performing quantitative analysis in support of tradingAssist in the development of analytical toolsTranslate business needs into data ...

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 ...

Fractal Analytics Inc. in London is seeking a Senior Data Analytics Consultant to drive data-driven insights on a hybrid model (on client site 2/3 days per week). The role involves leading client conversations, building data pipelines, and delivering dashboards … enable marketing self-serve analytics. You will work with large data sets, apply advanced analytical methods, and coordinate end-to-end engagements with stakeholders across functions. #J-18808-Ljbffr ...

closely with the founder and wider technical team, the successful candidate will shape a scalable graph architecture capable of bringing together unstructured operational data and structured financial transactions. This is a hands-on role for an engineer who can make sound architectural decisions, solve demanding performance challenges … translate complex financial structures into maintainable graph models and data pipelines. Fractional Lead Graph Engineer Key Responsibilities: - Design and develop a scalable graph database architecture using Neo4j Enterprise - Create graph schemas that represent financial structures, tax rules, organisational hierarchies and operational relationships - Build streaming data pipelines ...

closely with the founder and wider technical team, the successful candidate will shape a scalable graph architecture capable of bringing together unstructured operational data and structured financial transactions. This is a hands-on role for an engineer who can make sound architectural decisions, solve demanding performance challenges … translate complex financial structures into maintainable graph models and data pipelines. Fractional Lead Graph Engineer – Key Responsibilities: - Design and develop a scalable graph database architecture using Neo4j Enterprise - Create graph schemas that represent financial structures, tax rules, organisational hierarchies and operational relationships - Build streaming data pipelines ...

Expedia Group is seeking a Senior Data Scientist for Analytics to advance localization analytics within Content Product Analytics. The role emphasizes understanding user behavior, experimentation, and causal inference to inform product decisions. The successful candidate will design ML/NLP models, build scalable data pipelines ...

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 ...

build of an ambitious future state for Property pricing including a new globally consistent pricing model featuring: + predictive modeling + integrated data pipelines + connected 3rd party data sources* Establish consistent and comparable technical pricing across Sompo’s short-tailed global business.* Provide leadership … reinsurance submissions.* Coordinate the annual planning process across property business units and technical staff to global ensure consistency.* Leverage technology to develop of data assets that enhance our analytic capabilities.**Qualifications:*** Minimum of 5-7 years of GI pricing experience, preferably with exposure to pricing a short-tailed ...

Deliveroo is hiring a Senior Data Scientist to join BizOps, based in our London HQ (hybrid, minimum three days per week in the office). You will own end-to-end analytics from strategic questions to rigorous, actionable insights for senior stakeholders across global teams. You will build … data pipelines, models, dashboards and monitoring to make performance visible and drive faster, better decision-making at scale. #J-18808-Ljbffr ...

integration Enterprise architecture: domain-driven design, architecture governance, reusable components and patterns AI for software engineering: leveraging AI/agentic tools for coding assistance, pipeline automation, testing, and developer productivity improvements Engineering lifecycle: CI/CD pipelines, automated testing, product lifecycle management, Agile and DevOps practices Strong understanding … distributed systems aligned with enterprise standards Nice to have: Familiarity with AI-driven DevOps/engineering tools (e.g., AI code review, testing bots, pipeline automation) Experience with infrastructure-as-code and deployment automation Certifications in software or enterprise architecture or Agile methodologies Background in regulated or payment/engagement ...

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 ...

priced, forecast, and delivered globally. As an 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 senior … Responsibilities Build and ship backend features and services with a focus on elegance, scalability, performance, and resilience. Design and evolve Factor’s core data and application architecture (Typescript rust, AWS, etc). Solve complex, end‐to‐end problems across the stack, from data ingestion and transformation ...

seeking a Software Engineer to join the Commodities trading group to build data pipelines for ingestion and analysis of datasets. You will work closely with senior data engineers and stakeholders across both greenfield and established projects, initially focusing on delivering data to analysts … later helping design core data infrastructure used across the group. You will develop reliable ETL pipelines in Python, work in a small team of experienced engineers, and maintain frequent #J-18808-Ljbffr ...

build and own the services, pipelines, and infrastructure that sit underneath our AI platform - the systems that ingest documents, process financial data, and make everything downstream possible. Whether you've built high-throughput data pipelines, designed distributed systems that don't fall over, or shipped backend … accumulate. Recent projects include Agentic assistant with a finance-focused toolkit and advanced document authoring features Scalable document ingestion and indexing pipeline In-house, streaming-first agent framework AI-assisted document editor Track record Backend depth, not just breadth. Four or more years building production software at a venture ...

Sensefolio is seeking an experienced NLP Engineer to design and implement NLP models for large-scale ESG textual data. You will collaborate with data scientists and developers to enhance ESG rating methodologies and data pipelines, while staying current with NLP and ML advancements. The role emphasizes ...

build the perception and intelligence that power driver assistance in real-world driving. We work end-to-end: from creating high-quality training data, to developing and evaluating CV/3D perception models, to iterating quickly based on performance gaps. The team mixes "online" (on-car, latency/… compute constrained) and "offline" (heavier, large-scale data generation) work, with a strong focus on measurable impact and shipping.ð§ Your day-to-dayYou'll train, debug, and improve computer vision and 3D perception models, and iterate based on clear evaluation signals. You'll work across the full ...

work here. The role We're building AI agents that act as a doctor for preventive health — analyzing 110+ biomarkers, reasoning over clinical data, and delivering protocols that change how people age. The system works. Now we need to make it smarter, faster, and ready for millions … architecture over clinical literature and user health data. You know the difference between retrieval that works and retrieval that a clinician would trust Data pipelines — ingestion and normalization from labs (Eurofins, Randox), wearables, and third-party partners. Clean data in, reliable inference out Production reliability ...

implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking. Build and maintain integrations between retrieval and ML components and diverse enterprise data sources, vector databases, APIs, and services. Develop context retrieval systems that balance recall, precision, latency, and cost. Build evaluation frameworks, datasets, and metrics to measure … retrieval quality, context relevance, and end to end agent performance. Build reliable backend services and data pipelines that support ML and LLM components in production. Deliver experiments and new capabilities quickly, maintaining high quality and tight feedback loops with customers. Collaborate across product, ML, and infrastructure teams ...

models from scratch. This role is designed for someone who wants to do deep research with real constraints - where questions like scaling laws, data efficiency, and robustness are not academic footnotes, but the core of the agenda. Job Responsibilities Pre-train Transformer-based and time-series foundation models … from scratch using large-scale market, order‐book, transaction, and cross‐asset datasets. Develop data representations, tokenization schemes, self‐supervised objectives, model architectures, and distributed training recipes for financial time series. Fine‐tune and post‐train foundation models for alpha generation, pricing, market making, execution, and risk‐management ...