1,526 to 1,550 of 1,750 Data Pipeline Jobs in the UK

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 ...

hands-on experience building, training, evaluating and deploying LLMs or multimodal models end to end. The role will focus primarily on model development, data pipelines and system performance. What You'll Do • Design and implement end-to-end LLM training pipelines • Source and, where appropriate, preprocess datasets … evaluation • Fine-tune and optimise open weight models (LLMs, vision or traditional ML) • Build evaluation frameworks and define performance metrics • Develop and maintain data pipelines and training workflows • Analyse training pipelines and optimise for latency, cost and scalability • Implement monitoring, logging and feedback loops for continuous improvement • Experiment ...

core of everything we build is AVISTM (A Very Intelligent System), our orchestration platform: the intelligence layer that fuses multi-modal data, including text, imagery, telemetry and sensor feeds, so operators can interrogate complex information at speed and make better decisions under pressure. AVISTM powers our digital decision … into the environments where it matters most, whether that is protecting nations, infrastructure and lives, or transforming how commercial organisations reason over their data and make high-stakes decisions. As a Senior Applied AI Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production ...

core of everything we build is AVISTM (A Very Intelligent System), our orchestration platform: the intelligence layer that fuses multi-modal data, including text, imagery, telemetry and sensor feeds, so operators can interrogate complex information at speed and make better decisions under pressure. AVISTM powers our digital decision … into the environments where it matters most, whether that is protecting nations, infrastructure and lives, or transforming how commercial organisations reason over their data and make high-stakes decisions. As a Senior Applied AI Engineer at Oxford Dynamics, you will build and ship agentic AI systems in production ...

Software Engineer (Commodities Data Team) Job Location London Employment type Full-time Department Campus Targeted Start Date Summer 2027 DRW are looking for a Software Engineer to join the Commodities trading group to build data pipelines for the ingestion and analysis of datasets. The role entails … working closely with senior data engineers and key stakeholders across both green field and established projects. Initially it will be focused on getting data to our analysts, with opportunities to help design and build the core data infrastructure used across the group as your ...

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 ...

Learning Engineer to join its London-based team on a hybrid basis. The organisation partners with major retailers and global brands, using technology, data and personalised experiences to create meaningful connections with shoppers and deliver measurable campaign results. In this role, you will contribute to the development … solutions within the retail media and advertising environment. You will work alongside multidisciplinary colleagues to help turn complex commercial and customer data into practical insights, scalable products and improved decision-making. This is one for the purists, yes some experience with Agentic AI & LLM’s are a nice ...

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 ...

evaluation Fine‐tune and optimise open weight models (LLMs, vision or traditional ML) Build evaluation frameworks and define performance metrics Develop and maintain data pipelines and training workflows Analyse training pipelines and optimise for latency, cost and scalability Implement monitoring, logging and feedback loops for continuous improvement Experiment … multimodal models (not just consuming APIs) A solid understanding of model evaluation and validation, overfitting and bias/variance trade‐offs, and data quality and feature engineering Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience building and maintaining ML pipelines in production Familiarity with ...

Era4 develops, owns and operates AI infrastructure across the UK, powered by renewable energy. Converting legacy industrial and energy sites into modern data‐centre facilities, Era4 is combining brownfield regeneration opportunities with cleaner, efficient, scalable compute capacity for healthcare, research, finance, enterprise, and public-sector organisations Role Summary … common issues and then working with vendor support to resolve any critical issues. Security and access control: Manage user permissions, RBAC, security hardening, data protection. Required Skills & Experience: Experience supporting HPE PCAI or other AI/HPC infrastructure and platforms. System administration experience with OS's like RHEL ...

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 ...

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 ...

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 ...

ready applications that drive measurable business impact. This position reports to the Senior Director AI Operations and Commercial and is part of the Data & AI Team located in Cambridge and will be an on-site role. In this role, you will have the opportunity to: Design and deliver … with deployment, monitoring, and failure handling. Integrate and operate external model APIs, managing constraints such as latency, cost, and reliability. Build and operate data pipelines for retrieval, evaluation, and fine-tuning workflows. Establish evaluation, monitoring, and guardrails to ensure measurable performance, quality, and safety. The essential requirements ...

with an office in the United States, is a developer of full-stack photonic quantum computing systems. The company provides robust, high-performance, data centre-ready solutions designed for machine learning, generative AI, and optimisation workloads, and has already delivered eleven on-premises quantum computers to customers globally. … combining photonic quantum hardware with proprietary software, the company is developing practical high-performance computing approaches that integrate with existing AI and data centre infrastructure. Its hybrid quantum-classical systems are already being used in industrial settings to improve performance, efficiency, and scalability, while a longer-term roadmap ...

platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ … here's how we do it securely." You'll tackle challenges that most security engineers never encounter: securing AI agents, protecting training data pipelines, and designing controls for systems that didn't exist a few years ago. This role is hybrid from our London office, reporting ...

trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that … closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code ...

companion feature set for the CIRCuiTS platform, working within the scope of the RCT protocol. Write clean, well‐tested code (primarily Python) across data pipelines, model integration and evaluation. Ensure statistical and technical rigour in collaboration with the external statistician and academic partners including King's College London. … Confident communicating across disciplines — you can hold your own in conversations with clinicians, members, statisticians, product managers and experts by experience. Familiarity with data pipelines, ML tooling or applied AI is a plus; deep ML expertise is not required. Comfortable with ambiguity and the pace of a growing ...

operate in a highly sensitive environment. Many commercial SaaS products, and hosted AI models in particular, do not meet our security and data sovereignty requirements. You will build and operate our self-hosted, primarily OSS stack end to end: A secure CRM tailored to our needs, state … with systems languages (Rust, Go, C, C++ etc.) required experience with JS/TS, HTML, CSS, web frameworks required Python for AI and Data pipelines required Excellent project management abilities and communication skills especially towards non‐technical colleagues Strong grasp of CI/CD, security hardening, cloud ...

security engineer and leading engineering initiatives in a DevSecOps environment. Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex … future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview ...