1,126 to 1,150 of 1,576 Data Pipeline Jobs in England

defining strategy, shaping the roadmap, writing detailed specifications and driving measurable outcomes. You will work at the intersection of product management, financial accounting, data modelling and energy retail, partnering closely with engineering teams and senior finance stakeholders.This is a hands-on product role requiring strong analytical thinking, attention … while delivering valuable, scalable software solutions.Key responsibilities:Own the strategy, vision and roadmap for Financial Assurance, using customer insight, commercial input and product data to continuously evolve priorities.Write high-quality product specifications and requirements that engineering teams can build from with confidence and minimal clarification.Define, track and improve ...

development of AI products and services like Conversational AI, DocAI, Predictive Analytics, and Content Generation, making effective use of AI tools. Work with Data Engineers to design scalable data pipelines and infrastructure to support AI applications. Set and monitor performance metrics for AI systems, Agents ...

development of AI products and services like Conversational AI, DocAI, Predictive Analytics, and Content Generation, making effective use of AI tools. Work with Data Engineers to design scalable data pipelines and infrastructure to support AI applications. Set and monitor performance metrics for AI systems, Agents ...

development of AI products and services like Conversational AI, DocAI, Predictive Analytics, and Content Generation, making effective use of AI tools. Work with Data Engineers to design scalable data pipelines and infrastructure to support AI applications. Set and monitor performance metrics for AI systems, Agents ...

development of AI products and services like Conversational AI, DocAI, Predictive Analytics, and Content Generation, making effective use of AI tools.Work with Data Engineers to design scalable data pipelines and infrastructure to support AI applications.Set and monitor performance metrics for AI systems, Agents, and the overall ...

development of AI products and services like Conversational AI, DocAI, Predictive Analytics, and Content Generation, making effective use of AI tools.Work with Data Engineers to design scalable data pipelines and infrastructure to support AI applications.Set and monitor performance metrics for AI systems, Agents, and the overall ...

development of AI products and services like Conversational AI, DocAI, Predictive Analytics, and Content Generation, making effective use of AI tools.Work with Data Engineers to design scalable data pipelines and infrastructure to support AI applications.Set and monitor performance metrics for AI systems, Agents, and the overall ...

development of AI products and services like Conversational AI, DocAI, Predictive Analytics, and Content Generation, making effective use of AI tools. Work with Data Engineers to design scalable data pipelines and infrastructure to support AI applications. Set and monitor performance metrics for AI systems, Agents ...

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World … necessary tradeoffs. Promote reusability by choosing between dedicated customer solutions and broader platform enhancements in collaboration with Celonis product development. Establish real-time data integrations between customer systems and Celonis via APIs and internal tools. Guide customers on authentication, user/group management, and provisioning best practices. Thus ...

defining strategy, shaping the roadmap, writing detailed specifications and driving measurable outcomes. You will work at the intersection of product management, financial accounting, data modelling and energy retail, partnering closely with engineering teams and senior finance stakeholders. This is a hands-on product role requiring strong analytical thinking … delivering valuable, scalable software solutions. Key responsibilities: Own the strategy, vision and roadmap for Financial Assurance, using customer insight, commercial input and product data to continuously evolve priorities. Write high-quality product specifications and requirements that engineering teams can build from with confidence and minimal clarification. Define, track ...

serve as a senior subject matter expert for AI risk and responsible AI across Bloomberg. This person will work closely with engineering, product, data science, legal, compliance, CISO, privacy, and risk stakeholders to provide practical, technically credible guidance on AI use cases, AI systems and data … across Bloomberg, including product, platform, internal tooling, automation, and third-party AI solutions.Evaluate AI risks related to bias, explainability, hallucination, robustness, model drift, data leakage, privacy, security, intellectual property, misuse, transparency, and human oversight.Advise teams on appropriate controls, testing, monitoring, documentation, and risk mitigation strategies based ...

Overview: We are looking for an EDA Optimisation Engineer to support the data-driven optimisation, analysis and maintenance of Arm's engineering platforms. This role will work as part of a team effort to improve system utilisation/efficiency/cost-performance and touch on forecasting accuracy … infrastructure strategy. Working within the Productivity Engineering group, there will be a focus on metrics, automation, data-engineering and problem-solving where applicable to efficiency topics, in a metrics-first/data-driven-decisions environment. We expect this work to drive scalability and vendor strategy across ...

create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.Department Overview:At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV team focuses on understanding the drivers … quantify their causal impact.Apply techniques such as propensity score matching, difference-in-differences, causal forests, and broader synthetic controls where appropriate.Collaborate with data scientists, analysts, and engineers to operationalise causal insights and embed them into decision-making processes.Translate complex analyses into clear and actionable recommendations for both technical ...

Core Data team models and owns the structured datasets that connect Squarepoint to the outside world, effectively representing the firm's view of reality. We partner closely with portfolio managers and investment researchers to define robust data models and build reliable data pipelines that … collaborative, learning-oriented environment where excellence is recognized, diverse perspectives are valued, and innovative solutions are encouraged.Acquire a deep understanding of the data requirements provided by investment research teams and deliver solutions that create business impactDesign, implement, test, optimize and troubleshoot data pipelines and services using ...

Infosys Limited in London is seeking a Senior Databricks Architect to design, build, and operate scalable data pipelines and data products that enable a modern data mesh. The role focuses on integrating legacy systems with cloud-native platforms for analytics, reporting, and domain-owned … data products, with hands-on work in Databricks, Kafka, and AWS S3. You will implement batch and streaming pipelines, apply the Bronze-Silver-Gold medallion architecture, ensure data quality and governance, and #J-18808-Ljbffr ...

becoming increasingly sophisticated. Our stack spans Kubernetes on Azure, mobile and embedded AR, REST APIs, real-time collaboration and AI-powered data pipelines. We already hold SOC 2 Type II and ISO 27001, but as our product, customers and use of AI continue to evolve, we now need … important part of the role. You’ll help strengthen our SOC 2 Type II and ISO 27001 posture and support areas including GDPR, data residency and enterprise customer requirements. However, we’re looking for someone who brings strong hands‐on security expertise first, alongside the governance and compliance ...

Azure) Conduct rigorous model evaluation, A/B testing, and performance monitoring Mentor junior ML engineers and conduct technical code reviews Collaborate with data engineers to optimise feature stores and data pipelines Stay current with latest ML research and evaluate applicability to client projects Requirements 5+ ...

Operations Analyst who is passionate about our mission of Money Without Borders. You will partner with our Payment Operations organisation to help drive data-driven decisions that would evaluate the current risks the organisation faces, interpret risk appetite and monitor and control for these risks.The Payment Operations organisation … that support the organisation’s risk appetite and build control assurance models around our risky payment processing flows. You will also own the data behind the reconciliation of bank balances and customer funds to ensure that there are no material financial discrepancies. You will own the relationship with ...

stack. The network, signal layers, and forecasting architectures need to work together as one coherent system. Designing and building the agent orchestration pipeline that allows AI forecasters to ingest data, reason, and produce predictions. Building and optimising the signal pipeline that feeds real-world data … underway on forecasting architectures. You're making architectural decisions independently and contributing to technical strategy, not just executing tickets. At 6 months: The signal pipeline has an inductive process, a world model sits on top, and there's a sellable product for clients. You've unified the different parts ...

serve as a senior subject matter expert for AI risk and responsible AI across Bloomberg. This person will work closely with engineering, product, data science, legal, compliance, CISO, privacy, and risk stakeholders to provide practical, technically credible guidance on AI use cases, AI systems and data … Bloomberg, including product, platform, internal tooling, automation, and third-party AI solutions. Evaluate AI risks related to bias, explainability, hallucination, robustness, model drift, data leakage, privacy, security, intellectual property, misuse, transparency, and human oversight. Advise teams on appropriate controls, testing, monitoring, documentation, and risk mitigation strategies based ...

serve as a senior subject matter expert for AI risk and responsible AI across Bloomberg. This person will work closely with engineering, product, data science, legal, compliance, CISO, privacy, and risk stakeholders to provide practical, technically credible guidance on AI use cases, AI systems and data … Bloomberg, including product, platform, internal tooling, automation, and third-party AI solutions. Evaluate AI risks related to bias, explainability, hallucination, robustness, model drift, data leakage, privacy, security, intellectual property, misuse, transparency, and human oversight. Advise teams on appropriate controls, testing, monitoring, documentation, and risk mitigation strategies based ...

business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Preferred qualifications: 2 years of experience managing an Analytics or Data Science team, including prioritisation, roadmapping, coaching and performance management. Experiences with experimental design and supervised/unsupervised ML approaches for regression and classification tasks. Experience … business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your ...

create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department Overview: At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV team focuses on understanding the drivers … their causal impact. Apply techniques such as propensity score matching, difference-in-differences, causal forests, and broader synthetic controls where appropriate. Collaborate with data scientists, analysts, and engineers to operationalise causal insights and embed them into decision-making processes. Translate complex analyses into clear and actionable recommendations ...

climate-focused investment strategies.We're looking for a Database Developer to help enhance our proprietary climate modelling toolkit, Destination@Risk, and deliver scalable data solutions that enable better decision-making across the investment business. This is an exciting opportunity to combine technical expertise with meaningful work that supports … Risk platformCollaborating with investment, ESG and climate specialists to deliver reporting and analytical solutionsDeveloping, optimising and maintaining SQL databases, stored procedures, functions and data pipelinesBuilding automated processes to ingest and manage large datasets from internal and external sourcesCreating reporting and visualisation tools that support portfolio analysis and investment ...

streams within a given space.Address complex challenges before deploying new Audio AI technologies. This involves optimizing integration with other components in the Audio AI pipeline, identifying the most effective task combinations, and developing strategies to minimize bias while enhancing robustness against noise, reverberation, and echo.Conduct in-depth research … quantization, deployment, and C++ optimization.Demonstrate the ability to rapidly prototype Audio AI technologies by implementing research papers and extending them—such as modifying data augmentation strategies, adjusting FFT parameters, incorporating auxiliary tasks, and optimizing loss functions.Experience with data-driven algorithm tuning using metadata evaluations and advanced ...