1,251 to 1,275 of 1,580 Data Pipeline Jobs in England

shopping experiences on both the mobile and web apps. They will define requirements for internal tooling by developing prototypes. They will employ their data processing and analysis skills to evaluate and report on model performance, producing insights that inform product decisions. By creating and synthesizing quality metrics, they … technology to help us measure, analyze and solve complex problems. The candidate should have experience in creating technical solutions for automating and processing data workflows at scale and have the ability to do so while upholding the highest linguistic quality standards. They should also have exceptional writing ...

About Us:LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across … your potential with meaningful careers.About the Role:Do you want to help reinvent Governance Risk and Compliance by turning cyber security controls, risk data and audit evidence into software, automation and real-time assurance? If so, we are seeking a Lead Software Engineer to join the Cyber Security ...

approach allows our clients to enjoy benefits such as rapid innovation and development cycles. Our focus areas are both application workload migration and data migrations into platforms engineered on GCP. Go Reply is a Google Cloud Premier Partner with over 100 GCP engineers across our European practice. … into robust, scalable architectures on Google Cloud, operating at the intersection of technical depth and stakeholder collaboration. Working across AI and ML workloads, data platform design, and cloud migrations, you will act as a trusted technical voice for clients and a key partner to delivery teams. You will ...

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 … operating CI/CD pipelines, Distributed, and Concurrent Systems.Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind.Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas.Code Quality: Exceptional ...

architectural consistency.Technical Translation & Requirements: Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute orchestration) into actionable roadmaps. Map demands like multi-tenancy, data privacy, and isolation into platform features.Risk & Dependency Mitigation: Proactively identify, track, and mitigate technical risks unique to massive-scale GenAI infrastructure and global … orchestration (Kubernetes), or distributed systems.AI/ML Infrastructure Literacy: Foundational understanding of the infrastructure required for the Generative AI lifecycle, including high-throughput data pipelines, GPU/CPU cluster utilization, or model training/evaluation setups.Masterful Communication: Proven track record of presenting to and influencing executive-level stakeholders ...

from identification to a live, production-ready state. Build Robust Automations: Ensure all AI-driven processes are backed by enterprise-grade technology, robust data pipelines, and reliable API integrations. Report on Service Health: Provide the Senior Director, Global IT with data-driven insights into the performance … operational friction. Adopt AI Guardrails: Collaborate with the Security team to ensure all internal AI implementations remain compliant with InfoSec pillars and data privacy standards. WHAT YOU NEED TO BE SUCCESSFUL IN THIS ROLE Execution Experience: 8+ years in IT or Software Engineering, with at least 3 years ...

talented engineers in a fast-paced environment.The RoleYou'll play a key role in designing and developing modern backend systems that process live data, integrate with external platforms and support business-critical applications.Responsibilities include:Designing and developing scalable backend services using Python and JavaBuilding cloud-native, event-driven … applicationsDeveloping integrations with third-party platforms and APIsDesigning and optimising real-time data processing pipelinesImproving application performance, resilience and scalabilityWorking closely with technical stakeholders to deliver high-quality softwareContributing to infrastructure, deployment and continuous improvement initiativesTechnologyYou'll be working with a modern engineering stack including:PythonJavaGoogle Cloud Platform ...

Sperry Rail is seeking Full Stack Engineers with a data science focus to design, build, and maintain data-driven applications behind Zula 2.0, the platform that ranks and fuses outputs from rail inspection systems. You will work across the full stack with emphasis on backend data processing, analytics, and ML workflows hosted on AWS. Bring strong Python, data pipelines, AWS experience, and a collaborative mindset to translate rail inspection requirements into scalable technical solutions while #J-18808-Ljbffr ...

/12/2026 Work setup: 3 days onsite/week Rate: £492 per day all inc. (PAYE through Umbrella) Role Description: Data Scientist | L4 Outcome-based optimization assessment, implementation-ready recommendations role, with explicit expectations for hands-on analysis on optimizing fraud Models, ML platform on Google … reducing run-cost & Improving performance and reliability across GCP infrastructure, ML pipelines .You'll apply strong engineering discipline and collaborate with IT Infra, data scientists and fraud stakeholders to deliver measurable compute and inference savings. Produce workable, implementable recommendations with effort/cost savings Provide configuration-level ...

INCLUDE: Architect Secure AI Ecosystems: Design and implement end-to-end security frameworks for AI/ML platforms, ensuring security-by-design across data pipelines, models, APIs, and deployment environments. Secure Cloud-Native & Containerized Environments: Establish and enforce security best practices across Docker, Kubernetes, and cloud-native architectures … applications. Lead AI Threat Modeling & Risk Management: Identify, assess, and mitigate AI-specific risks including model poisoning, adversarial attacks, prompt injection, and data leakage. Drive AI Security Testing & Validation: Evaluate and govern penetration testing, vulnerability scanning, red-teaming exercises, and other security testing practices for AI systems. Embed ...

decision intelligence company used by governments, defence organisations, financial institutions, and corporates operating in complex, fast-moving environments. Our capabilities fuse curated data sources, domain-specific AI, and deep human expertise to transform information overload into clear, actionable foresight. Our ambition is to become the analytical backbone that … over which problems we take on. Breadth rather than a narrow track. The work follows the problem, which means service design one month and pipeline or infrastructure work the next. Engineers here have the opportunity to build depth across several areas rather than being funnelled into one. Progression based ...

Portfolio Analytics, you will take ownership of our growing in-house analytics workbench - working across the full stack, shaping how the business uses data, and coordinating with a small offshore vendor team to keep delivery on track. It's a hands-on role for someone with a strong … front end and Python (FastAPI) on the back end, writing clean, well-tested code that's easy to support and extend. Build data pipelines and models using pandas and NumPy, working with Snowflake and Azure to store and serve data reliably and securely. Coordinate an offshore ...

engineering. Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI. Optimise existing model serving and data pipelines to meet changing performance and security requirements. Hold requirements gathering sessions with business stakeholders and data science teams. Lead functional projects … similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation. Knowledge of or experience with MCP to integrate LLMs with external data sources and tools. At JET, this is on the menu: Our teams forge connections internally and work with some of the best‐known brands ...

About Us: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across … potential with meaningful careers. About the Role: Do you want to help reinvent Governance Risk and Compliance by turning cyber security controls, risk data and audit evidence into software, automation and real-time assurance? If so, we are seeking a Lead Software Engineer to join the Cyber Security ...

Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition … vision-language applications.Adapt agent workflows, models, tools, retrieval systems and configurations for production use.Integrate AI systems with enterprise APIs, databases, applications and data platforms.Develop reusable connectors, APIs and Model Context Protocol tools.Build automated CI/CD, testing, configuration management and deployment workflows.Implement authentication, access control, secrets management, security ...

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy … language applications. Adapt agent workflows, models, tools, retrieval systems and configurations for production use. Integrate AI systems with enterprise APIs, databases, applications and data platforms. Develop reusable connectors, APIs and Model Context Protocol tools. Build automated CI/CD, testing, configuration management and deployment workflows. Implement authentication, access ...

Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition … language applications. Adapt agent workflows, models, tools, retrieval systems and configurations for production use. Integrate AI systems with enterprise APIs, databases, applications and data platforms. Develop reusable connectors, APIs and Model Context Protocol tools. Build automated CI/CD, testing, configuration management and deployment workflows. Implement authentication, access ...

Global Market Intelligence in London seeks a Senior Product Analyst to design workflows for market data ingestion, enrichment, validation, and delivery within Risk Analytics. You will translate business needs into data mappings, user stories, and acceptance criteria, while supporting APIs, data pipelines, and observability … across teams. The role requires experience with SQL/Python, data quality, and agile delivery, and involves collaboration with product, engineering, QA, and client-facing #J-18808-Ljbffr ...

Engineer London (Hybrid - 3x a week) The Company They are a large, data-driven organisation investing heavily in artificial intelligence and advanced analytics. Their AI team is focused on building innovative solutions that improve business operations, enhance customer experiences, and drive measurable commercial value. With access to large … code and contribute to cloud-native applications and services. Apply MLOps best practices, including CI/CD, containerisation, monitoring and observability. Partner with data scientists, engineers and business stakeholders to translate business challenges into impactful AI solutions. Monitor, evaluate and improve deployed models while ensuring responsible, secure ...

applications on AWS . Integrate Large Language Models (LLMs), vector databases, and modern AI frameworks into production systems. Build secure, reliable, and performant data pipelines to power AI applications. Collaborate with product managers, engineers, and stakeholders throughout the deployment lifecycle. Optimize AI solutions for performance, reliability, and cost. … developing Generative AI applications using modern LLMs. Strong understanding of AI application architecture, APIs, and distributed systems. Experience working with structured and unstructured data . Ability to rapidly prototype solutions and iterate in fast-moving customer environments. Excellent problem-solving and debugging skills. Strong communication skills with ...

Fusion, Revit, 3DS Max, Maya), including tooling to support reproducible experiments and product deliveryWork across product and engineering boundaries, including lightweight frontend integration, data pipelines, service orchestration, experimentation tooling, or internal product workflows when neededWork with CI/CD systems (Jenkins, GitHub Actions) and containerized deployments (Docker … contribute to observability and reliability of servicesWrite robust, well-tested code and participate actively in code reviews and design discussions; follow security and data-handling best practicesCollaborate closely with product managers, designers, researchers, frontend engineers, ML engineers, and platform teams to turn ambiguous problems into shipped featuresDocument designs ...

Fusion, Revit, 3DS Max, Maya), including tooling to support reproducible experiments and product deliveryWork across product and engineering boundaries, including lightweight frontend integration, data pipelines, service orchestration, experimentation tooling, or internal product workflows when neededWork with CI/CD systems (Jenkins, GitHub Actions) and containerized deployments (Docker … contribute to observability and reliability of servicesWrite robust, well-tested code and participate actively in code reviews and design discussions; follow security and data-handling best practicesCollaborate closely with product managers, designers, researchers, frontend engineers, ML engineers, and platform teams to turn ambiguous problems into shipped featuresDocument designs ...

Fusion, Revit, 3DS Max, Maya), including tooling to support reproducible experiments and product deliveryWork across product and engineering boundaries, including lightweight frontend integration, data pipelines, service orchestration, experimentation tooling, or internal product workflows when neededWork with CI/CD systems (Jenkins, GitHub Actions) and containerized deployments (Docker … contribute to observability and reliability of servicesWrite robust, well-tested code and participate actively in code reviews and design discussions; follow security and data-handling best practicesCollaborate closely with product managers, designers, researchers, frontend engineers, ML engineers, and platform teams to turn ambiguous problems into shipped featuresDocument designs ...

Revit, 3DS Max, Maya), including tooling to support reproducible experiments and product delivery Work across product and engineering boundaries, including lightweight frontend integration, data pipelines, service orchestration, experimentation tooling, or internal product workflows when needed Work with CI/CD systems (Jenkins, GitHub Actions) and containerized deployments (Docker … observability and reliability of services Write robust, well-tested code and participate actively in code reviews and design discussions; follow security and data-handling best practices Collaborate closely with product managers, designers, researchers, frontend engineers, ML engineers, and platform teams to turn ambiguous problems into shipped features Document ...

standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with - and raise the technical bar for - ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future … experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale. Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. Deep hands ...