1,526 to 1,550 of 1,825 Data Pipeline Jobs in England

consumption by internal and external developers using ASP.NET Core and C#. Collaborate with cross‐functional teams to deliver end‐to‐end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Participate … technologies a plus. Solid understanding of RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Practical experience deploying and debugging scalable cloud‐native services using PaaS, Docker, and Kubernetes. Excellent problem‐solving skills, with the ability ...

Month Contract | Up to £1,000/day | Inside IR35 We're working with a financial technology business on a strategic data platform programme and are looking for a Senior C#/Snowflake Engineer to join a highly technical team delivering a business-critical initiative. This project … focused on making large volumes of portfolio, trade and investment data more accessible across the business and to leading hedge fund clients through a modern Snowflake-based architecture. The Role Working closely with technology teams, portfolio managers, traders and quantitative stakeholders, you'll play a key role ...

consumption by internal and external developers using ASP.NET Core and C#. Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Participate … technologies a plus. Solid understanding of RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Practical experience deploying and debugging scalable cloud-native services using PaaS, Docker, and Kubernetes. Excellent problem-solving skills, with the ability ...

Data Science Festival is seeking an Analytics Engineer to join a fast-growing, data-driven tech team within a global cybersecurity education company. You’ll own the full data journey, from managing pipelines and creating models to developing visualisations that help teams understand user … behaviour and business performance. This remote role offers genuine ownership of analytics and visibility across the organisation, not just dashboards, but defining how data drives growth. #J-18808-Ljbffr ...

public APIs and SDKs for consumption by internal and external developers. Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Lead … deployments in Kubernetes. Strong expertise in RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple ...

thin AI wrapper" role—we’re rebuilding financial decision-making infrastructure from first principles. Yùour work across the stack (backend/frontend/data/AI), initially focusing on 1-2 areas where youùre strongest, with the goal of developing versatility across all domains. We believe in elite … while maintaining production-grade quality standards Participate in architecture reviews, retrospectives, and product strategy discussions Contribute across domains: application layer (frontend/backend), data pipelines, or AI infrastructure YouÙll Thrive Here If You Have Must-haves: 5+ years of software engineering experience with strong computer science fundamentals Deep ...

specifiedFull-timeAI tools:GeminiUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis role builds Google Cloud applications, data pipelines, and integrations, including agentic AI components using Gemini Enterprise. You’ll join Accenture’s Google and Gemini Enterprise business groups, translating client needs … Enterprise Agent PlatformGemini EnterpriseADKGKEBigQueryTerraformCI/CD### Key responsibilities* Build and deploy agentic AI components with Gemini Enterprise Agent Platform.* Engineer Google Cloud applications, data pipelines, integrations, and foundational platform components.* Translate client needs into secure production solutions and contribute to design and architecture reviews.## How this job comparesCompared ...

evaluation datasets, measure accuracy and define where human review is needed. Build the surrounding software: APIs, integrations, Model Context Protocol (MCP) servers and data pipelines. Deploy and operate what you build, including containers, monitoring and running costs. Work within our security, data protection and AI governance … prioritises and measures its work. Our stack: Google Cloud and TypeScript, with the Claude Agent SDK and Gemini Enterprise, integrating with Salesforce, our data warehouse and other business systems. The stack is still evolving, and we care more about how you engineer than which tools you've used. ...

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 ...

Risk Strategy" for the Grow squad, moving us from reactive "fire-fighting" to proactive risk monitoring. Stakeholder Partnership: You will be the primary data partner for Wise’s Treasury, Risk, and Finance leadership, giving them the confidence that the Grow squad is operating within safe limits. Qualifications … strategic data leader who bridges the gap between technical analytics and business risk. You don’t just report on what happened; you influence what happens next. Technical Mastery: You bring expert-level SQL skills and are fully comfortable building and maintaining your own robust data pipelines ...

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 ...

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 ...

front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents … Required* Java* JVM-based languages* Spring framework* Scalable web applications* React* Javascript* Typescript* CI/CD pipelines* Distributed Systems* Concurrent Systems* Product mindset* Data-driven decisions* Relational databases* Non-relational databases* Query optimisation* Resilient schema design* Test Driven Development* Problem-solving* Communication skills* Machine learning lifecycle* Data ...

some of the UK’s largest and most strategically important organisations. We work at the cutting edge of cloud architecture, AI, and data engineering to build scalable platforms and agentic that drive real business transformation. Google Cloud Engineer Responsibilities Hands-on creation and deployment of agentic … solution components using Gemini Enterprise Agent Platform Engineer Google Cloud-native applications, data pipelines and integrations based on architecture patterns Integrate Gemini Enterprise capabilities into enterprise workflows and client-facing applications Implement foundational Google Cloud platform components to support secure, enterprise-grade AI deployments Participate in design discussions ...

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 ...

unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale. More than just a workplace, we’re a global community founded on strong relationships and the belief … enterprise-scale deployment. While the opportunity is significant, many organizations struggle to move from promising pilots to production-grade AI due to fragmented data, complex environments, and strict safety and regulatory requirements. CloudFactory is built to solve exactly this. As Client Principal, AI Consulting (Energy ...

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 ...

hands‐on software engineering experience; internships, substantial academic projects and personal projects will also be considered. Strong foundation in software engineering fundamentals, including data structures, algorithms and coding practices. Exposure to Golang (Go) or another backend programming language, with enthusiasm to develop deeper Go expertise. Python … TypeScript fundamentals. Understanding of REST APIs and how modern applications communicate. Basic exposure to Kubernetes, OpenShift or containerised applications. Familiarity with databases or data technologies such as MongoDB and Redis. Basic understanding of authentication concepts such as OAuth and JWT. Awareness of Large Language Models (LLMs) and Generative ...

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 ...

challenge isn't simply getting an LLM to produce an answer. It's designing systems that deliver accurate, reliable recommendations, work with complex data and can be maintained and improved in production. You'll be involved in: Designing the architecture for new AI-powered features and services. Building … Designing systems that incorporate user feedback to improve recommendations over time. Making architectural decisions around scalability, reliability, latency and cost. Building and optimising data pipelines, model evaluation and monitoring. Working closely with the CTO and wider engineering team, providing technical direction while remaining hands-on. What ...

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 ...

real impact from day one, taking ownership of solutions from initial concept through to deployment. The Role Working closely with the Director of Data and Business Optimisation, you will design, build and deploy AI-powered applications, agents and integrations to improve efficiency across finance, billing, field operations … using modern programming languages and large language models. Integrating AI solutions with Microsoft 365, finance, CRM, workforce management and other business systems. Building data pipelines and reporting services to provide reliable, consistent business information. Implementing effective AI governance, security, testing and monitoring to ensure solutions are reliable, compliant ...

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 ...

hardware (we are truly full stack and often are in factories) writing performant code that can handle and visualise a ton of data at scale delivering real impact on how we manufacture the world around us About Matta Matta is creating industrial AI for factories. … back and forth between proper engineering around efficiency of WebRTC and WebSockets, to creating new user experiences and interfaces for AI visualisations and data, and prototyping designs faster than our CTO can make cups of tea for the team (btw the whole team can juggle... so get practicing ...

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 ...