1,376 to 1,400 of 1,583 Data Pipeline Jobs in England

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 … without 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 and core ...

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 ...

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 ...

moving billions of GBP of customer money in over 70 countries, Wise must have bulletproof financials. We need timely, accurate, and scalable financial data to be compliant with regulations and make strategic business decisions to support our hyper-growth and financial objectives. Due to our continued expansion … Business Partners and Analyst, ensuring cohesive delivery of financial planning, cost control, and analysis across all Functions. Executive Narrative & Communication: Translate complex financial data and variance analyses into high-impact strategic narratives for the leadership team, providing actionable insights that influence company-wide decision-making. KPI-driven Performance ...

multiple 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. … AthenaKnowledge of rates products including Swaps, Securities, Options, and RepoFamiliarity with risk methodologies and PnL calculation frameworksExperience with distributed systems and real-time data processingProficiency with relational and NoSQL databasesKnowledge of modern development practices including CI/CD pipelines and containerizationExposure to quantitative finance concepts and market risk ...

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 ...

moving billions of GBP of customer money in over 70 countries, Wise must have bulletproof financials. We need timely, accurate, and scalable financial data to be compliant with regulations and make strategic business decisions to support our hyper-growth and financial objectives.Due to our continued expansion … Finance Business Partners and Analyst, ensuring cohesive delivery of financial planning, cost control, and analysis across all Functions.Executive Narrative & Communication: Translate complex financial data and variance analyses into high-impact strategic narratives for the leadership team, providing actionable insights that influence company-wide decision-making.KPI-driven Performance Management ...

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 ...

reflect 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 ...

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 ...

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 ...

closely with research, software engineering and product teams to build scalable, production-grade AI solutions.ResponsibilitiesOwn the end-to-end machine learning lifecycle, including data pipelines, model training, evaluation, inference and deployment.Fine-tune and optimise large language models using modern techniques such as LoRA, QLoRA, supervised fine-tuning, preference … optimisation and model distillation.Design scalable inference infrastructure with a focus on latency, reliability and operational efficiency.Build and maintain high-quality data pipelines for both synthetic and real-world datasets.Develop robust evaluation frameworks covering model quality, robustness, safety and performance.Optimise GPU utilisation, memory usage and inference performance for production ...

with research, software engineering and product teams to build scalable, production-grade AI solutions. ResponsibilitiesOwn the end-to-end machine learning lifecycle, including data pipelines, model training, evaluation, inference and deployment. Fine-tune and optimise large language models using modern techniques such as LoRA, QLoRA, supervised fine-tuning … preference optimisation and model distillation. Design scalable inference infrastructure with a focus on latency, reliability and operational efficiency. Build and maintain high-quality data pipelines for both synthetic and real-world datasets. Develop robust evaluation frameworks covering model quality, robustness, safety and performance. Optimise GPU utilisation, memory usage ...

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 ...

optimise trading infrastructure to provide a seamless path from research to live trading Partner with the Portfolio Manager to develop frameworks for data validation and monitoring What we’re looking for Bachelor’s degree in Computer Science, Engineering or a related field 5+ years of commercial development experience … with strong skills in Python. Hands‐on experience with building and deploying data pipelines Familiarity with modern infrastructure (CI/CD, Kafka, Airflow) Excellent communication and collaboration skills Detail orientated, with a commitment to best engineering practices The ability to prioritise, plan and deliver to projects ...

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 ...

Hastings Direct is an agile, data and digitally focused general insurance provider to the UK market, offering a full range of car, van, bike and home insurance products. But it’s our attitude and the way we run our business that makes us different. It’s a dynamic … solution and platform architecture: Strong understanding of how AI solutions are designed, integrated, monitored and operated across enterprise platforms, including Azure, Snowflake, APIs, data pipelines, orchestration, observability, model lifecycle management and production support. Generative AI and automation delivery: Experience shaping architectures for generative AI, automation, agentic ...

production-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 … production services 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 ...

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 ...

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 ...

exchanged freely, and creativity flourishes. You will wear many hats: software development, product management, sales, and interpersonal skills. Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing … client-facing roles (Forward-Deployed Engineer, Solutions Engineer, Integration Engineer, Sales Engineer, Customer Engineer) Possess a strong foundation in software design principles, data structures, and algorithms Hold a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related field Benefits Competitive salary plus equity ...

senior 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 ...