1,351 to 1,375 of 20,462 AI Jobs in England

setting objectives and running performance conversationsFamiliarity with GitOps practices in a data platform context. Salary: 80,000 - 90,000 based on experienceHow we use AI at YotoWe think using AI to work smarter is part of the job. At Yoto, we use AI to help us move faster and reduce … manual work so we can focus our time on creativity, problem-solving and impact. We don't want to use AI to cut corners - it's about smart usage that makes space for the work that really matters. Our intention is to be thoughtful about how we use AI. ...

What's the job? Drive Data Quality & Insights – Maintain accurate Engineering data, improve data integrity through regular reviews and clean-up activities, and leverage AI to enhance reporting, accuracy, and decision-making. Deliver Process Automation & Continuous Improvement – Identify opportunities to streamline processes, gather business requirements, and implement AI-driven … share knowledge, promote cross-training, and reduce operational dependencies through effective knowledge transfer. Develop Reporting & Analytical Capabilities – Stay current with emerging technologies, including AI and Microsoft Power Platform, and contribute to enhanced reporting, analytics, and business insights. Coordinate Business Operations & Events – Support the planning and execution of Engineering events ...

findings and remediation actions required. Testing will be routine and adhoc and involve working on extremely large data sets, requiring use of tools and AI to maximise testing impact at scale. The role covers all regions excluding North America, with a primary focus on International Stores (Retail and Marketplace … additional testing plans based on outcomes of testing. Identify opportunities to enhance controls, monitoring approaches, and operational risk practices. Leverage and develop tools and AI to improve efficiency and enable assurance activities at scale. Consult with Tax Planning experts on indirect tax impact of findings identified during testing. ...

month in the office Drive Data Quality & Insights Maintain accurate Engineering data, improve data integrity through regular reviews and clean-up activities, and leverage AI to enhance reporting, accuracy, and decision-making. Deliver Process Automation & Continuous Improvement Identify opportunities to streamline processes, gather business requirements, and implement AI-driven … share knowledge, promote cross-training, and reduce operational dependencies through effective knowledge transfer. Develop Reporting & Analytical Capabilities Stay current with emerging technologies, including AI and Microsoft Power Platform, and contribute to enhanced reporting, analytics, and business insights. Coordinate Business Operations & Events Support the planning and execution of Engineering events ...

Responsibilities A highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power. We are looking for exceptional machine learning researchers to join our efforts. … needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests. Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities. Desirable Candidates Master ...

dashboards, analytics and data services turning complex data into products that improve customer outcomes and create commercial value. You'll also help identify where AI and machine learning could enhance customer experiences, automate workflows and unlock new insights. If you're a hands-on Product Manager who combines customer curiosity … investment based on customer value and commercial return. Work with customers to understand their reporting, integration and decision-support requirements. Identify opportunities to apply AI and machine learning to real customer challenges, ensuring new capabilities deliver measurable value. Collaborate with Product Owners, Engineering, UX and Data teams to translate strategy ...

month in the office Drive Data Quality & Insights – Maintain accurate Engineering data, improve data integrity through regular reviews and clean-up activities, and leverage AI to enhance reporting, accuracy, and decision-making. Deliver Process Automation & Continuous Improvement – Identify opportunities to streamline processes, gather business requirements, and implement AI-driven … share knowledge, promote cross-training, and reduce operational dependencies through effective knowledge transfer. Develop Reporting & Analytical Capabilities – Stay current with emerging technologies, including AI and Microsoft Power Platform, and contribute to enhanced reporting, analytics, and business insights. Coordinate Business Operations & Events – Support the planning and execution of Engineering events ...

What makes us Qlik? A Gartner® Magic QuadrantTM Leader for 16 years in a row, Qlik helps teams get more out of AI with trusted data products, a powerful analytics engine, and AI agents. This helps teams reduce risk and operating costs while scaling AI responsibly. Used ...

governed, interoperable data estate that enables self-service for our business teams and provides the trusted foundation for advanced analytics, machine learning and AI to accelerate change across our industry. This role is an opportunity to apply and develop your expertise in analytics engineering, data modelling and visualisation to build … peer review, knowledge sharing and team ceremonies, giving and receiving constructive feedback to improve solution quality. Use modern analytics engineering practices, automation opportunities and AI-assisted tools where appropriate to improve delivery quality and efficiency. Keep abreast of developments and trends in data, analytics and reporting technology. Manage own task ...

Define data requirements, frameworks, and regional strategy to scale media measurement efforts. Set and achieve ambitious measurement goals aligned with global marketing objectives. Drive AI transformation to enhance productivity, creativity, and innovation, while upholding Google's AI Principles. Oversee the analysis and interpretation of high-dimensional datasets to deliver actionable ...

business problems. The focus is on applying a combination of industry standard practices and innovative ideas using structured data from multiple sources and applying AI, machine learning and statistical techniques to build, evaluate and implement models. Our team focus is on creating analytical solutions that solve real world business problems. … leveraged for multiple projects. High focus on code reproducibility and creating generalizable technology assets for analytics teams which can be further automated using AI agents and Claude Skills. Create excellent working relationships with business partners across the Chubb organization, IT and analytics peer groups. Effectively communicate results in written, oral ...

NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations … Understanding of modern data architecture philosophies (Dimensional, ODS, Data Vault) and real‐time cloud data capabilities. As part of a leading global analytics and AI solutions company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual ...

planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms … development, or data systems Exposure to CI/CD or infrastructure automation tools Interest in technically demanding application domains such as scientific computing, applied AI/ML, real-time systems, large-scale data processing, or similar Energy industry experience is not required but is a strong plus. We welcome candidates ...

scientific and analytical technologies. You will play a key role in modernizing platforms, driving technical excellence, and leveraging emerging technologies including cloud computing, AI-assisted development, automation, and data-driven solutions. As a senior member of the engineering team, you will collaborate with Product Managers, Architects, Scientists, and Engineers … extensibility. Ensure software quality and security through code reviews, automated testing, and adherence to engineering best practices, reducing defects and technical debt. Leverage AI-assisted development tools and emerging technologies to improve engineering productivity, innovation, and customer value. Implement and improve DevOps practices, including CI/CD pipelines and automation ...

into structured analytical and data science problems, ensuring your team delivers clear, commercially meaningful recommendations. Drive adoption of scalable analytical frameworks, experimentation standards, and AI-enabled tooling to improve efficiency, consistency, and speed of decision-making across teams. Champion best practices in experimentation, causal inference, segmentation, and customer understanding, ensuring … Machine Learning before moving into leadership roles. Experience building and scaling experimentation platforms, measurement frameworks, self-service capabilities, or data products. Experience applying AI, Large Language Models (LLMs), Agentic AI, or automation technologies to improve analytics productivity and decision-making effectiveness. Experience leading organisational change, improving analytical maturity, and raising ...

outcomes, and enables teams by building reusable capabilities rather than relying solely on governance or oversight.* Success measure (Innovation): successful delivery and adoption of AI-powered engineering capabilities, automation frameworks, and modern engineering practices that create measurable business value.**Knowledge, Skills and Behaviours**Essential* Key technology areas: Snowflake … Python, Git/CI/CD, Semantic Layers, Data Contracts, Data Quality and Observability, Snowflake Cortex, LLMs and AI Agents, AWS.* Strong hands-on Analytics Engineering/Data Engineering experience with deep expertise in data modelling, Snowflake, dbt and SQL.* Proven experience building automation, reusable engineering frameworks and scalable analytical ...

world-leading machine learning algorithms. We’re looking for a Machine Learning Research Engineer to work with us in our Data Science and AI Team. In this team, we build custom algorithms that use novel approaches to solve our business needs. This isn’t a prompt engineering or LLM role … social impact. Our world-leading algorithmic products are at the core of our business, so as a part of the Data Science and AI Team, you will have a high level of exposure to the wider business. This role is based in our London office at Liverpool Street (hybrid ...

Science, Software Engineering, or a related discipline. Agile Scrum certification. Experience working successfully with globally distributed development teams. Strong awareness and practical understanding of AI technologies and modern AI-assisted development tools. Knowledge of cloud-native architectures, microservices, and modern cloud platforms. What Success Looks LikeDelivering high-quality software solutions ...

engineers, data scientists, and business stakeholders Your Impact: Enable transformative business decisions through robust, scalable data architectures Drive adoption of modern data platforms and AI-enabled analytics solutions Establish technical standards and architectural patterns that ensure quality, security, and maintainability Help cultivate a data-driven culture within client organisations … modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding ...

data assets. This role will play a key part in the adoption and maturity of Microsoft Azure, supporting data ingestion, engineering, analytics, governance and AI-enabled capabilities.**Purpose and scope of the role**The Data Solutions Architect is responsible for translating business requirements into scalable, secure and cost-effective data … leadership to delivery teams including IT suppliers.* Communicate technical concepts clearly to varied audiences.**Continuous Improvement*** Maintain awareness of Microsoft Fabric, Azure Data Services, AI and analytics developments.* Identify opportunities to improve delivery, reduce technical debt and increase reuse.* Support proofs of concept to validate emerging technologies and approaches. ...

engineers, data scientists, and business stakeholders Your Impact: Enable transformative business decisions through robust, scalable data architectures Drive adoption of modern data platforms and AI-enabled analytics solutions Establish technical standards and architectural patterns that ensure quality, security, and maintainability Help cultivate a data-driven culture within client organisations … modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding ...

expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB)* A track record in leading the architecture … vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities* Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle* Excellent communication ...

expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB)* A track record in leading the architecture … vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities* Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle* Excellent communication ...

mission hasn't changed — we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries … keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI ...

India remote ROLE OVERVIEW: Morgan IT is transforming towards a cloud-first, automation-driven operating model built on Microsoft Azure, platform engineering principles and AI-enabled operations. The Azure Specialist is responsible for delivering, operating and continuously improving Azure platform services through modern engineering practices. The role focuses on Infrastructure … Code (IaC), automation, cloud operations, AI-enabled service improvements and platform reliability. Working closely with the Cloud Solution Architect, the Azure Specialist translates technical designs into operationally supported services while driving standardisation, automation and innovation across the cloud platform estate. The role combines hands-on engineering expertise with a passion ...