1,501 to 1,525 of 1,825 Data Pipeline Jobs in England

Future Health is seeking a Data Engineer in London to design and build secure, scalable data pipelines for health research. You will transform complex requirements into robust data solutions while ensuring compliance and governance of sensitive datasets. You will collaborate with researchers, engineers … domain experts, translating requirements into practical implementations and producing documentation and mappings across the data platform. #J-18808-Ljbffr ...

Building sophisticated Retrieval-Augmented Generation (RAG) systems, leveraging advanced techniques like embeddings with Voyage AI, rerankers, and query enrichment. Designing and maintaining efficient data pipelines and vector storage solutions using MongoDB Atlas Vector Search. Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related … PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek. Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like MongoDB. Practical knowledge of LLM fine‐tuning, prompt engineering, and performance optimization. ...

DACH, the Netherlands and the Nordics, and acquisitions are one part of how we grow. Each business we acquire brings its own platform, data and restaurant partners, and bringing them onto OrderYOYO safely is how we protect and build on that value. Purpose of the role You will … diligence and integration planning through migration, stabilisation and the retirement of legacy platforms. You will own the integrated programme plan across engineering, product, data and customer-facing teams, protecting restaurant continuity and tracking delivery costs and agreed benefits. You will coordinate dependencies with Finance, People, Commercial and other ...

Volkswagen. What will I be doing? You’ll own and 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 … 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 ...

Searchability NS&D is seeking a Data Engineer in Manchester to design and operate data pipelines and ETL workflows for national security projects. You will transform diverse data sources into actionable insights while ensuring strict data governance and security compliance. The role … active eDV clearance (West), a willingness to work on-site in Manchester when needed, and collaboration with cross-functional teams to deliver scalable data solutions. #J-18808-Ljbffr ...

Houlihan Lokey, Inc. in London, UK seeks a Data Operations Specialist to own enterprise data standards, processes and controls across the data lifecycle. You will collaborate with business leads and technology teams to improve data quality, governance and scalability, while delivering automated … solutions and robust data pipelines. Strong analytical, communication and leadership capabilities are essential for success in this senior role. #J-18808-Ljbffr ...

provide safe and effective mental health/wellbeing support for those most in need. This will include developing simulated users, grounded in data from South Africa, Kenya, Ghana, and the UK, and automated (LLM) judges to score simulated conversations against behaviours defined by local clinicians and lived experience … writing well-tested, maintainable code (version control, code review, automated testing, continuous integration).* Proven experience evaluating artificial intelligence models, e.g., an evaluation pipeline, or similar large-scale contributions to research.* Experience with cloud infrastructure, containers, and data pipelines (e.g., AWS, GCP, or Azure; Docker).* Ability ...

datasets for systematic trading strategies Partner with the Portfolio Manager and senior developers to deploy new trading strategies Maintain and improve trading infrastructure, data visualisations and data validation in a production environment What we're looking for: 1st class undergraduate degree in Computer Science Postgraduate qualifications … relevant internship (e.g. software engineering, quantitative development, or a related placement), with strong skills in Python Hands-on experience with building and deploying data pipelines, gained through internship, academic, or personal projects Familiarity with modern infrastructure (CI/CD, Kafka, Airflow) Excellent communication and collaboration skills Detail orientated ...

network for the world's money. For everyone, everywhere. We are looking for a Senior Software Engineer II with deep systems thinking, data engineering expertise, and a product-oriented mindset to join our Treasury FX function — spanning both the Market Data and Risk Engineering teams. … quant models for VaR, beta-adjusted exposure management, dynamic pricing and FRP cancellations. Owning Kafka topology design and schema evolution across the full pipeline: rate ingestion → risk calculation → trade execution → analytics Driving technical roadmap across both teams, mentoring IC2/IC3 engineers, and leading incident response for Tier ...

ownership of CreatePay's cloud infrastructure: provisioning and hardening AWS environments, building and maintaining CI/CD pipelines, keeping the serverless and data estate — API Gateway, Lambda, Aurora PostgreSQL — reliable, observable, and cost-efficient, and acting as first responder when something breaks. You will work closely with Engineering … Data Engineering, the Information Security Officer, and outsourced delivery partners to make sure the platform is resilient by design, not patched together after the fact. This is a genuine opportunity to define a discipline — to own the infrastructure behind a real, regulated, in-production payments environment ...

ICIS is seeking a Solutions Engineer to join the Data Platforms & Analytics team in London. Hybrid role, onsite at least two days per week. Lead technical discovery, design integrations of ICIS data for analytics, reporting, and AI initiatives, and collaborate with account managers to drive customer … value. You will be a customer-facing authority with hands-on SQL, Python, APIs, and modern data platforms knowledge, shaping solutions across data pipelines, AI, and enterprise architectures. #J-18808-Ljbffr ...

Expedia Group is seeking a Product Owner to lead AI, ML, and automation initiatives within Growth Marketing Technology. You will collaborate with engineering, data science, analytics, and marketing to translate complex problems into scalable product solutions, manage data pipelines, and drive measurable outcomes. The role requires … 8+ years in product management for data/AI/ML, with hands-on experience taking AI capabilities to production. #J-18808-Ljbffr ...

decisions. Our vision, to be the world's most used digital comparison service, delivering value and simplicity to millions. We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale. With in-house … scalable, secure infrastructure on GCP, defined in Terraform. Own networking and IAM design, including VPCs, ingress through Traefik, and encryption of data at rest and in transit. Make and record architecture decisions for the platform, and keep them visible to the wider team. Work with the software engineering ...

robust services(APIs,CLI toolsand software modules)that power scientific applications and products. Bridge diverse components, integrating ML inference servers, hardware interfaces, and data pipelines into cohesive systems, while ensuring high availability and low latency. Own the full production path—from architectural design and coding to automated testing … benchmarking, deployment, and observability. Collaborate effectively within a multi-disciplinary team of Data Engineers, AI Scientists, Software Engineers and Domain Experts. Champion software engineering best practicesacross EIT,such asmaintaininghighstandardsof code quality, system security, and transparency. Essential Skills, Qualifications & Experience: MSc or equivalent experience in Computer Science, Software Engineering ...

Co. is seeking a Lead Software Engineer within Commercial & Investment Bank, Electronic Trading Technology. You will design and deliver high-performance, real-time data processing solutions powering trading and research in a fast-paced financial environment. Ideal candidates bring 5+ years of software engineering experience and strong expertise … Python, KDB/Q, or C++, with familiarity in applying AI to analytics, SDLC automation, and data pipelines. #J-18808-Ljbffr ...

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 ...

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 ...

enterprise AI platforms across the UK. Remote-first with optional hybrid London work (2 days per week). You will lead AI services, data pipelines and cloud-native architectures, collaborating with data scientists and engineers to productionise models at scale. The role emphasizes autonomy, leadership ...

Engineers Gate in London is seeking a Data Engineer to join the Core Technology Team and help build and scale the firm’s data platform used by investment teams. You’ll work with portfolio managers and researchers to turn data requirements into usable datasets … tools. You will own projects from requirements to delivery, evaluate new data sources, create reliable processing workflows, and improve infrastructure for faster, more reliable data integration. #J-18808-Ljbffr ...

trade‐off decisions in delivery and resourcing. Capability Building & Tech Pioneer Champion resilient, extensible, and reusable platform capabilities (APIs, Cloud infrastructure, and modern data architectures) that ensure scalability and a competitive advantage. Partner closely with engineering teams to challenge and inform technological choices that enable both near‐term … design solutions. Define robust success metrics and customer‐driven acceptance criteria to measure product impact and performance post‐launch. Commercial & Business Focus Leverage data, business analytics, and operational rigor to ensure high‐quality product performance and well‐managed execution within a highly regulated consumer credit landscape. Partner with ...

trade‐off decisions in delivery and resourcing. Capability Building & Tech Pioneer Champion resilient, extensible, and reusable platform capabilities (APIs, Cloud infrastructure, and modern data architectures) that ensure scalability and a competitive advantage. Partner closely with engineering teams to challenge and inform technological choices that enable both near‐term … design solutions. Define robust success metrics and customer‐driven acceptance criteria to measure product impact and performance post‐launch. Commercial & Business Focus Leverage data, business analytics, and operational rigor to ensure high‐quality product performance and well‐managed execution within a highly regulated consumer credit landscape. Partner with ...

research or experimental environments with evolving requirements Proficiency 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 geometry Experience with version control, reproducibility … documentation skills Preferred Qualifications Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or related field Experience 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 ...

Work closely with product and engineering teams, validating releases, triaging issues, and representing customer technical needs with precision. Read and reason about configurations, data structures, integration patterns, and API behaviour well enough to scope work accurately and challenge estimates. Feed structured, prioritised insight back into the product roadmap …/C-level sponsors, with the gravitas to hold difficult conversations and the empathy to keep relationships strong. Technical fluency, comfortable reading configurations, data mappings, logs, and API documentation, and able to converse credibly with engineers and challenge technical assumptions. Clear, structured written and verbal communication, including executive ...

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 ...