1,601 to 1,625 of 1,824 Data Pipeline Jobs in England

eligibility preferred, not essential No sponsorship available What you'll be building My client is building a data platform that turns live global events into risk intelligence. You'll join a small engineering team and help shape the platform's next phase. In a team that size … impact of your work directly. The work Designing and building pipelines that pull in data from internal and third-party sources Building the backend services and APIs that power the platform Turning complex, fast-moving information into clear frontend features and data visualisations Putting LLMs ...

Bristol Myers Squibb is seeking a Senior Manager, Data Sciences to join the Drug Development Data Science & Advanced Analytics (DSAA) team. You will lead exploratory and confirmatory analyses across clinical trials, genomics, proteomics, imaging, and other omics data to support decisions across the development … pipeline. This role emphasizes interface between computational science and drug development, with responsibility for scalable data pipelines, model validation, and cross-functional #J-18808-Ljbffr ...

Technology Specialist to join a well-established manufacturing business in a hands-on role where you'll take ownership of business-critical applications, data platforms and systems integration whilst helping drive automation and AI initiatives across the organisation. The business is continuing to invest heavily in its internal … technology capability, with a focus on modernising systems, improving data platforms and reducing manual processes through automation. This is a varied role where you'll work across software development, cloud technologies, data engineering and integrations, supporting existing platforms whilst delivering new technical solutions that have ...

South Yorkshire Mayoral Combined Authority's data team seeks a DTS Database Developer to design, build and maintain enterprise database platforms that underpin transport systems and strategic decisions in the region. Hybrid working in Sheffield, with emphasis on data security, performance, and collaboration to deliver scalable … data pipelines and reliable reporting for evidence-based decisions across South Yorkshire. #J-18808-Ljbffr ...

Notes and expanding to other Swap Derivative 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 ...

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 ...

state estimation across dynamic physical spaces. Integrate foundation geometry models and modern ML techniques into the localisation loop to enhance traditional spatial tracking, data association, and visual odometry. Architect and maintain robust long-term mapping systems that enable robots to autonomously update, manage, and scale spatial maps across … changing environments over time. Build and scale auto-labeling data pipelines that leverage foundation geometry models to generate high-fidelity spatial ground truth for downstream ML training. Bridge classical geometry with deep learning architectures, building hybrid systems that map raw sensor data into globally consistent metric ...

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 ...

with sensor systems or data pipelines (e.g., camera, radar, or similar) Experience working with CI/CD systems (e.g., Buildkite) and test pipeline integration Exposure to robotics, autonomous systems, or real-time software environments This is a full-time role based in London. At Wayve we want ...

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 ...

conventional software or human review is the better approach. AI tools must be used responsibly and in line with our security, privacy and data‐handling requirements. What you’ll do Lead features and technical improvements from discovery and solution design through to deployment and ongoing support. Work with … designs and accessible, easy‐to‐use products. Build and maintain full‐stack applications, including web interfaces, APIs, databases and background services. Develop reliable data pipelines and integrations with external platforms and services. Integrate AI models into product workflows, considering output quality, evaluation, cost, performance, privacy and failure handling. ...

POCs) Solution Prototyping & Automation Build demo prototypes, automation scripts, and integration examples using languages such as Python Develop solutions and workflows to demonstrate: Data ingestion and transformation API-based integrations Process automation and orchestration Leverage REST APIs to integrate Diligent with third-party enterprise systems Expert at using … software, such as Pre-Sales Engineering, Technical Consulting, Solutions Architecture, Software Implementation, or Integration Strong proficiency in Python, including experience with REST APIs, data handling and transformation, and automation scripts and tooling Familiarity with common Python libraries, such as Pandas and Requests. Exposure to workflow automation platforms, data ...

Strong experience designing, delivering and supporting full-stack production applications Sound engineering judgement across architecture, APIs, data modelling, security and cloud infrastructure Practical experience using AI-assisted development tools for substantial engineering work, including reviewing, testing, debugging and correcting generated code Experience integrating generative AI or large language … conventional software or human review is the better approach AI tools must be used responsibly and in line with our security, privacy and data-handling requirements Lead features and technical improvements from discovery and solution design through to deployment and ongoing support Work with stakeholders to turn business ...

customer problems. We’re structured into the following teams right now: Core Product: Own all customer-facing channels (Slack, Discord, Email, etc), core data models, and customer requests. You’ll balance moving fast to win customers with investing in strong foundations for the future. Developer Infra: Build … easy to run, debug, and control in production. Shape our backend architecture. You’ll tackle some of our most complex challenges, from data modeling to high-performance reporting, and help set the standard for how we build across the company. Create a stellar developer experience. From data ...

autonomous fleet management and mission control; Build front‐end interfaces for mapping, scheduling, and real‐time monitoring; Develop backend services and APIs for data, control, and system integration; Design and manage cloud infrastructure; Integrate with vehicle systems and autonomy stack (telemetry, commands); Implement data pipelines, analytics ...

Technology within the Commercial and Investment Bank. You will design, build, and deliver secure, scalable agentic commerce solutions for B2B platforms and the data pipelines powering AI-driven payments You'll join an agile team that values innovation, collaboration, and operational excellence, working on MCP servers, Databricks data ...

Oxford, a hybrid role combining in-office collaboration with flexible home working. You will design and implement automated tests across cloud software, data pipelines and machine-learning components, and drive verification strategies with a strong emphasis on ownership and automation. You will work closely with software engineers, data ...

Applied Data Science Partners is seeking a Senior Full-Stack Developer to lead design, development and deployment of complex software solutions in Bath. You will architect data pipelines, backend services and APIs, with emphasis on scalable systems and good UI/UX. Strong Python and Typescript ...

model training, evaluation and ongoing performance monitoring. Integrate AI services into existing platforms, applications and engineering workflows. Create technical documentation for models, data pipelines, APIs and deployment processes. Evaluate model outputs, identify risks or limitations, and improve performance through structured testing. Collaborate with engineers, data specialists ...

design workflows. Your primary responsibility will be to design, implement, and maintain reliable, scalable backend and infrastructure components that support ML inference, data pipelines, and product features. You will work closely with ML researchers, product engineers, and scientists to turn cutting‐edge models into dependable, production‐grade services. … This includes building APIs, scaling inference workloads, evolving data ingestion and storage pipelines, and ensuring the platform meets real-world requirements around performance, reliability, and cost. This role is ideal for someone who enjoys owning foundational systems end‐to‐end, thrives on ambiguity, and is motivated by building ...

matching, and real-time replanning when things go wrong (and in logistics, things always go wrong). The problems are combinatorially hard, the data is messy, and the stakes are real. The team is a mix of logistics veterans and tech talent from Uber, Amazon, and DeepMind. They … replanning systems that respond to delays, disruptions, and changing conditions Create demand forecasting models that predict shipment volumes and capacity needs Build the data pipelines and feature stores that power ML models at scale Work with operations teams to understand the messy reality of how logistics actually works ...

build the backend that makes it all work: agentic workflows, document ingestion and search at scale, streaming execution, and the APIs and data models that power the product. You'll take features from ideation to production, measure their impact, and own them in operation. The opportunity Ownership … code execution framework that can be interrupted and resumed mid-execution for programmatic tool calling. Document Ingestion, Indexing, and Search: A VLM-based OCR pipeline, a self-hosted search cluster, and domain-aware search strategies. Citations: An end-to-end approach to citation, enabling users to quickly review supporting ...

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 ...

High ownership. What you’ll do Lead design of key parts of a brand-new platform Build and own backend services, APIs and data pipelines at scale Make architecture decisions that the wider team builds on Stay hands-on while mentoring senior engineers Partner closely with product … tooling into everyday engineering workflows Tech stack Node.js, TypeScript React/Next.js Cloud platforms (Azure preferred, AWS or GCP also relevant) APIs, data pipelines, distributed systems AI tooling integrated into development workflows #J-18808-Ljbffr ...

with quantitative research and backtesting Strong understanding of statistics and working with large datasets Strong software engineering fundamentals Experience building reusable research/data pipelines Strong academic background in Computer Science, Mathematics, Statistics, Physics, Engineering or similar Genuine interest in financial markets and quantitative investing Ability to take … hedge fund, asset manager, prop trading or systematic investment environment is advantageous, as is exposure to cloud, Kubernetes, workflow orchestration, SQL, distributed data processing and AI/LLM tooling. £120,000+ base + bonus | London If you're a strong Python/Quant Developer who wants significant ownership ...