1,476 to 1,500 of 1,514 Data Pipeline Jobs in London

choose and remain loyal to Runna — the quality of our training plans is our biggest market differentiator. By combining past and current performance data, the engine and the models continually adapt each runner’s training plan, ensuring it remains personalised, effective and engaging. You’ll be leading … enjoyment of training, and decide which workouts to prioritise based on long‐term impact on retention and outcomes? How might we integrate new data sources such as recovery, HRV, menstrual cycle and environmental conditions to deepen personalisation, and decide which of these signals deliver the most customer value ...

Bring You are a senior, hands-on engineer who still writes and ships critical code. Strong practical experience with PyTorch across model code, data pipelines, and training loops. Proven track record with distributed training (multi-GPU/node, GPU clusters), understanding associated memory and communication challenges. Real model … engineering experience in physics/simulation, vision, or LLM systems, with a focus on data-driven system improvement. Solid Python platform and backend foundations: API design, workflow orchestration, and practical Docker/Kubernetes/IaC. #J-18808-Ljbffr ...

well-funded stealth AI company Product: AI-native productivity — starting with email, expanding into notes, tasks, calendar Own the full model lifecycle: data, training, evaluation, inference, deployment US$100M initial funding, internally backed, no VC pressure Cash + meaningful founding-team equity Fully remote The play Email, calendar … systems that measure real-world capability, robustness, and safety — not benchmark vanity. Architect high-performance inference infrastructure: latency, GPU utilisation, memory, cost. Build data pipelines for high-quality real-world and synthetic training data. Bridge research and application engineering so model improvements actually reach users. The bar Read ...

Evaluate and integrate language models and related tooling, optimizing for reliability, latency, cost, and debuggability in production. Build and maintain the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, observability, and safety/guardrails. Work across the stack—from backend integrations and APIs to simple … Python for AI and backend services. Modern LLM APIs and orchestration libraries for building agentic workflows. Postgres and other managed cloud services for data and state. How we work & values Speed over everything: prototype AI workflows quickly, then harden what works. Own, downscope, ship, iterate: one clear owner ...

PyTorch). Experience conducting research. Publication record in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR). Preferred qualifications Experience with large-scale data pipelines. Experience with training large-scale models. Proven experience conducting research in industry About the job As an organization, Google maintains a portfolio of research … architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research ...

help. Key Responsibilities Embed with a customer's finance team, map and redesign their workflows AI‐first Wire the integrations – pull data from ERPs, banks, and billing into Light Configure, ship, and supervise AI agents in production until the customer trusts them Hand back a workflow the customer … Qualifications 3+ years close to how finance teams actually work – accounting, process design, consulting, or technical customer success You build & tinker. Vibe coding, data pipelines, and LLM agents are tools you reach for, and you ship working software, not slideware You're fluent enough in finance to hold ...

Action (VLA) models, enabling robots to understand context, navigate multi-agent environments, predict intent, and act safely in dynamic spaces. Design and scale data pipelines and evaluation frameworks optimized for training large-scale, end-to-end (e2e) learned behaviors and multimodal navigation models. Architect and deploy highly reliable … concepts from initial research to rock-solid deployment on physical robots. Comfortable working in a fast‐moving, research‐driven environment with evolving models, data, and tools. What We Offer Competitive equity: stock options with meaningful upside as we scale. 30+ paid days off, including 23 days of annual ...

model backbones and delivering an autonomous vehicle capability roadmap with production-level quality. This includes collecting, filtering and selecting the most relevant training data; and then training, tuning, debugging production models. The technology will be deployed to multiple OEM partners working with separate Application teams. You are expected … rest of Wayve are aligned and galvanised. Frame autonomous driving as a problem that can be solved by data. Define efficient data curriculums to ensure product feature and geographical coverage. Drive an eval-driven culture to reach KPI targets with high predictability and resource efficiency. Partner with ...

proof-of-concept through to implementation. Experience with training diffusion models. Experience conducting applied research. Preferred qualifications: Experience in inference optimization. Experience with data pipelines. Experience with training large-scale models. Cross-functional collaboration experience. Knowledge of machine learning, statistics, and diffusion model theories. About … over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay ...

Smartodds Limited is looking for a Python Engineer based in North London. The role involves developing data pipelines and back-end solutions to support high-quality sports data analysis. You'll collaborate closely with a supportive team to optimize processes and deliver production-grade software. Essential ...

Jobtailor is seeking a highly skilled Palantir Foundry engineer to design, build and deploy data pipelines and ontology models for defence and security contexts. You will own end-to-end solutions, integrate live intelligence into workflows, and advise on product improvements while collaborating with diverse stakeholders. Expect 3+ ...

Fosse is recruiting for a backend/data-heavy engineer to join a world-leading sports technology platform. You’ll design APIs and distributed systems powering data pipelines at scale, connecting player identities and game metadata across a global product suite. This senior role offers ownership ...

looking for a Director – AI & HPC Data Centre Compute to join our team in London, United Kingdom in a hybrid working mode. In this senior leadership role, you will drive EPAM’s AI and HPC data centre strategy, leading engagements that optimise compute infrastructure across full … cluster design and orchestration using Slurm, Kubernetes and parallel processing models (MPI) Enhance GPU utilisation by addressing bottlenecks across compute, memory and data pipelines; collaborate with energy teams on power-aware scheduling Architect scalable AI platforms integrating MLOps frameworks, automation tools and reusable assets Develop repeatable AI/ ...

London to collaborate with engineering teams on solution design, roll out platform features, and enable self-service adoption. You will build scalable data pipelines and support real-time data flows across marketing platforms and reporting tools. You will monitor platform health, drive AI/agentic workflows ...

build AI-powered software that helps institutional investors manage their alternative portfolios. You will work with our development team to ship platform features, data pipelines, automations, and internal tooling using Cursor, Claude, Copilot, and other modern AI tools. As part of a hands-on role, you will collaborate … with internal stakeholders across Data, Product, and Client Success to identify friction points and deliver measurable #J-18808-Ljbffr ...

Kaluza Ltd. is seeking an experienced technical operations specialist to own and evolve Jira architectures, data pipelines, dashboards, and platform integrations. You will identify opportunities to strengthen operational capability, scope solutions, and co-build them with the Business Operations Manager, with an AI-first mindset and clear trade ...

underpin Augur's sensor integration product. You will work across the full backend surface—from stream processing and storage to API design and data pipelines—using a Rust stack with Python at the boundaries. You will own meaningful architectural decisions, reason through unfamiliar problem domains, and scale systems ...

clients and end customers are paid accurately for the flex they deliver. You'll work closely with engineering and commercial teams, build data pipelines, and develop a deep understanding of source data, while operating in a fast-moving environment with hybrid office 2-3 #J ...

limits of speed and throughput. In this role you will be designing and optimising FPGA-based systems for low-latency, high-throughput data processing, working on custom hardware acceleration, high-speed data pipelines, and performance-critical infrastructure where every nanosecond counts. This is a multidisciplinary team ...

design, build, and extend core C# analytics services and APIs. You will work on high-performance distributed systems supporting pricing, risk, and market data workflows. Collaborating with quants and portfolio managers, you will contribute to data pipelines, cloud deployments, and robust production practices while advancing analytics ...

infrastructure for mid-frequency equity statistical arbitrage strategies. This is a hands-on engineering role with ownership across the full trading stack, including data ingestion, research tooling, back testing, production strategy deployment, execution integration, real-time monitoring, diagnostics, and post-trade analysis. The ideal candidate has experience building … proprietary trading environment. We are also highly interested in strong software engineers from technology companies or adjacent domains who have built complex, data-intensive systems with high standards for correctness, reliability, scalability, and long-term maintainability. ResponsibilitiesArchitect, implement, and maintain production infrastructure for systematic trading strategiesBuild and optimize ...

infrastructure for mid-frequency equity statistical arbitrage strategies. This is a hands-on engineering role with ownership across the full trading stack, including data ingestion, research tooling, back testing, production strategy deployment, execution integration, real-time monitoring, diagnostics, and post-trade analysis. The ideal candidate has experience building … proprietary trading environment. We are also highly interested in strong software engineers from technology companies or adjacent domains who have built complex, data-intensive systems with high standards for correctness, reliability, scalability, and long-term maintainability. Responsibilities Architect, implement, and maintain production infrastructure for systematic trading strategies Build ...

education customers. You will work with a Deployment Strategist to ship production-grade components and mentor teams. The role emphasizes hands-on coding, data pipelines, and end-to-end delivery in real customer environments. You will collaborate across data platforms and AI toolchains, maintain production readiness ...

seeking a Marketing Technology & Operations specialist to act as the platforms administrator for marketing tools, roll out features, and build scalable, low-code data pipelines across systems. You will collaborate with engineering to design solutions and enable adoption of new capabilities in campaigns and processes. You will drive … enabled automation, maintain platform health, and support data reliability while working with cross-functional teams to advance #J-18808-Ljbffr ...

reseller/marketplace arrangements Negotiate and close technical integration agreements with target downstream platforms Work with product and engineering to scope joint data pipelines Achieve quarterly goals for generating qualified sales opportunities from channel partners Conduct high-level discovery conversations and meetings with partners and prospective clients Educate … analysis Work cross-functionally with marketing, growth, direct sales, and relationship managers Attend conferences, networking events, and partner meetings Track and report partner-sourced pipeline, lead volume, and conversion against target Requirements 5+ years in fintech channel/partnerships, or strategic alliances, ideally with direct experience partnering with ...