651 to 675 of 21,643 AI Jobs in England

Google Cloud and Azure. Our customers now run a large and growing share of their technology spend through SaaS platforms, data clouds and AI vendors - each with its own billing API, its own pricing model, and its own idea of what a "line item" means. DoiT's Integrations Framework … vendor landscape moves constantly, so this is genuine, permanent ownership with a short line from your work to what customers see. You'll work AI-augmented from day one. We expect you to use AI across your whole workflow, not as an occasional autocomplete, and to have real opinions about ...

Google Cloud and Azure. Our customers now run a large and growing share of their technology spend through SaaS platforms, data clouds and AI vendors - each with its own billing API, its own pricing model, and its own idea of what a "line item" means. DoiT's Integrations Framework … vendor landscape moves constantly, so this is genuine, permanent ownership with a short line from your work to what customers see. You'll work AI-augmented from day one. We expect you to use AI across your whole workflow, not as an occasional autocomplete, and to have real opinions about ...

Google Cloud and Azure. Our customers now run a large and growing share of their technology spend through SaaS platforms, data clouds and AI vendors - each with its own billing API, its own pricing model, and its own idea of what a "line item" means. DoiT's Integrations Framework … vendor landscape moves constantly, so this is genuine, permanent ownership with a short line from your work to what customers see. You'll work AI-augmented from day one. We expect you to use AI across your whole workflow, not as an occasional autocomplete, and to have real opinions about ...

Google Cloud and Azure. Our customers now run a large and growing share of their technology spend through SaaS platforms, data clouds and AI vendors - each with its own billing API, its own pricing model, and its own idea of what a "line item" means. DoiT's Integrations Framework … vendor landscape moves constantly, so this is genuine, permanent ownership with a short line from your work to what customers see. You'll work AI-augmented from day one. We expect you to use AI across your whole workflow, not as an occasional autocomplete, and to have real opinions about ...

Google Cloud and Azure. Our customers now run a large and growing share of their technology spend through SaaS platforms, data clouds and AI vendors - each with its own billing API, its own pricing model, and its own idea of what a "line item" means. DoiT's Integrations Framework … vendor landscape moves constantly, so this is genuine, permanent ownership with a short line from your work to what customers see. You'll work AI-augmented from day one. We expect you to use AI across your whole workflow, not as an occasional autocomplete, and to have real opinions about ...

Google Cloud and Azure. Our customers now run a large and growing share of their technology spend through SaaS platforms, data clouds and AI vendors - each with its own billing API, its own pricing model, and its own idea of what a "line item" means. DoiT's Integrations Framework … vendor landscape moves constantly, so this is genuine, permanent ownership with a short line from your work to what customers see. You'll work AI-augmented from day one. We expect you to use AI across your whole workflow, not as an occasional autocomplete, and to have real opinions about ...

Google Cloud and Azure. Our customers now run a large and growing share of their technology spend through SaaS platforms, data clouds and AI vendors - each with its own billing API, its own pricing model, and its own idea of what a "line item" means. DoiT's Integrations Framework … vendor landscape moves constantly, so this is genuine, permanent ownership with a short line from your work to what customers see. You'll work AI-augmented from day one. We expect you to use AI across your whole workflow, not as an occasional autocomplete, and to have real opinions about ...

Google Cloud and Azure. Our customers now run a large and growing share of their technology spend through SaaS platforms, data clouds and AI vendors - each with its own billing API, its own pricing model, and its own idea of what a "line item" means. DoiT's Integrations Framework … vendor landscape moves constantly, so this is genuine, permanent ownership with a short line from your work to what customers see. You'll work AI-augmented from day one. We expect you to use AI across your whole workflow, not as an occasional autocomplete, and to have real opinions about ...

Head of Data - Hybrid Working | Central Birmingham Competitive Salary + Benefits Lead the Future of Data, Analytics & AI Are you a strategic data leader who still enjoys getting hands-on with technology? Do you want the opportunity to build, shape and lead a modern data function while driving innovation through … AI, analytics and cloud technologies? Our client is looking for an ambitious and forward-thinking Head of Data to join their our growing organisation and help transform the way we use data to drive business performance, client outcomes and future growth. This is an exciting opportunity to join a successful ...

meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping … Experience collaborating with Agile teams, product owners, and cross‐functional stakeholders, with strong communication skills for both technical and non‐technical audiences Awareness of AI‐assisted development tools (e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations ...

innovative geospatial solutions: Design, build and continually improve enterprise-scale software platforms, APIs and cloud infrastructure that enable advanced spatial analytics, Earth Observation processing, AI-powered location intelligence and modern GIS services for public and private sector clients. Collaborate across disciplines: Work alongside Senior Engineers, Data Scientists, Geospatial Specialists, User … spatial APIs. Knowledge of open geospatial technologies including PostGIS, GeoServer, OpenLayers, Leaflet, GDAL or QGIS. Experience with geospatial applications that integrate cloud platforms, AI, and Earth Observation data to solve real-world challenges Understanding of modern software architecture including microservices, APIs, serverless computing and event-driven systems. Experience working ...

excited by the opportunity to shape the future of AI-powered intellectual property tools in a collaborative, flexible environment? Join a dynamic team developing advanced AI solutions and analytics for impactful, global innovation projects. About the teamAt LexisNexis Intellectual Property Solutions, we bring clarity to innovation. Our products help … technologies and processes that advance industries—and, ultimately, society. We are proud to serve the innovators whose ideas help shape a better future. The AI Platform team builds the capabilities that power AI across LexisNexis IP's flagship analytics products. We explore emerging AI technologies and turn them into intelligent ...

investment teams to solve trading, portfolio, and risk management challenges Supporting the firm's Risk Intelligence strategy through the application of advanced analytics and AI technologies Ensuring robust engineering standards through testing, monitoring, data governance, and operational resilience Contributing to platform strategy, technical design reviews, and engineering best practice SKILLS … model outputs and reconciling data, methodology, and implementation discrepancies Excellent communication skills with the ability to explain complex concepts clearly Desirable experience: Machine learning, AI, LLMs, or AI-assisted development Cloud platforms, containerisation, CI/CD, streaming technologies, and observability tooling Exposure to multiple asset classes including equities, fixed income ...

well, together we achieve something extraordinary. Role Purpose We are building a new R&D capability focused on developing data-driven and AI-enabled products for legal services and the wider business of law. The Data Scientist & Engineer will work within R&D alongside the Data Programme to build … required for those products: trusted, reusable data assets, reliable pipelines, data quality, lakehouse models and analytical products. These capabilities will support R&D products, AI applications, client intelligence and firm-wide decision support. This is a hands-on hybrid data-engineering and applied-data-science role, with particular responsibility ...

aligned with industry best practices. You will act as a trusted technical advisor, leading the architecture of data platforms that enable advanced analytics, AI/ML workloads, data sharing, and operational reporting. Working across the full project lifecycle, you will define target-state architectures, data models, governance frameworks, and integration … data warehouse design, performance tuning, governance, and cost optimisation. Databricks Architecture: Design and implement Databricks lakehouse architectures, supporting large-scale data engineering, streaming, analytics, AI, and machine learning workloads. Assessment & Modernisation: Evaluate existing data estates and develop migration strategies to modern cloud data platforms, including Snowflake and Databricks. Data Modelling ...

networking. Cross-functional collaboration: Work closely with product management, design, quality, and manufacturing teams to ensure a successful product launch and sustainment. Lead AI integration: Work with leadership to implement the company's long-term AI strategy, identifying practical use cases for AI and translating product goals into actionable technical … tasks. Lead the design, development, and deployment of AI-enhanced software solutions and oversee the integration of AI capabilities into products and workflows. Prototyping and testing: Develop and implement testing procedures, create product prototypes, and conduct performance testing to ensure requirements are met. Problem-solving: Lead the resolution of technical ...

well, together we achieve something extraordinary. Role Purpose We are building a new R&D capability focused on developing data-driven and AI-enabled products for legal services and the wider business of law. The Full-Stack Product Engineer will own the user-facing applications through which lawyers and business … deployment, operation, monitoring and continuous improvement, working within agreed enterprise technology, security and release patterns. The role works closely with a broader team of AI engineers, data engineers and data scientists to turn R&D capabilities into coherent product journeys. You will join a small, hands-on multidisciplinary team working ...

improving reliability, scalability, security, and operational excellenceMentor junior engineers and influence the team's technical direction through standards, reviews, and knowledge sharingUses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security … requirementsApplies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectationsRequired qualifications, capabilities, and skillsDegree in Computer Science or a STEM-related field (or equivalent)Demonstrated experience delivering ...

just write requirement docs for someone else to build - you are a builder yourself. You’ll prototype low-code tools, leverage AI models, interrogate data pipelines, and architect automated workflows to turn manual risk friction into seamless, automated self-service. Our Controls team The role will sit within the Controls … vision, strategy, and backlog for Monzo’s internal risk products, replacing static, manual cycles with smart, data-driven platforms (SmartSuite, Zango, Looker, and native AI integrations). Hands-on Prototyping & Automation: Directly design, prototype, and build automated workflows, API integrations, and low-code/no-code solutions. You'll take ...

Location Leeds, UK – 3 Days travel to office SC Eligibility - Good to have About Mastek Mastek Limited is a global provider of enterprise AI, digital, and cloud services, enabling clients to achieve measurable and sustainable returns on their technology investments. With a presence in over 40 countries and a workforce … nearly 5,000 professionals, Mastek delivers innovative technology solutions that help organisations accelerate transformation and unlock business value. Through our Lead with AI approach, we integrate intelligence across our solutions and operations, enabling ethical, scalable, and domain-driven AI adoption. We partner with industry leaders including Oracle, Salesforce, Microsoft ...

Office teams make better decisions through trusted data, clear reporting, advanced analytics and continuous business improvement. The team delivers initiatives across reporting, process optimisation, AI adoption, automation, data governance and broader transformation initiatives. As the volume of strategic initiatives, data and reporting continues to increase, the team is expanding … prototyping where appropriate. Lead business engagement and requirements definition for DealCloud and other Front Office technology enhancements. Support the identification, evaluation and delivery of AI, automation and digitisation opportunities across Front Office functions. Drive AI adoption through proof of concepts, business cases and production deployment. Partner with Technology, Architecture ...

cost efficiency. Creating trusted, reusable data products and common datasets that reduce duplication and support consistent enterprise reporting, client insight, digital services, and AI‐ready use cases. Owning the intake, prioritisation, and delivery of engineering, BI, and analytics demand, balancing strategic change, project delivery, and business‐as‐usual requirements. Partnering … analytics solutions. Strong knowledge of the Microsoft data and analytics ecosystem, including Azure data services, SQL, Power BI, and modern engineering practices. Experience with AI, machine learning, IoT, and Oracle environments is advantageous. Demonstrable experience establishing engineering standards, DevSecOps practices, automated testing, monitoring, data quality controls, and reliable production support. ...

insight, governance and delivery of the Foundation’s Data Strategy. The Data Scientist will strengthen how the Foundation uses Power BI, data science and AI to support better decisions, creating trusted reports, dashboards, semantic models and reusable datasets that help establish one version of the truth. Acting as a Data … ways of working. This role will also help build data capability by training key stakeholders and mentoring the Data Services Team in Power BI, AI and consistent, governed approaches to reporting and analysis. What you will be doing: Act as the Data Services business partner across the Foundation, collaborating with ...

things equally well: build and maintain the data models that reporting sits on, work with people to understand what they actually need, and use AI-assisted tooling as a normal part of how the work gets done. You don't need to arrive doing all three confidently - you need … data models, documentation and governance as we consolidate two organisations onto a shared Microsoft Fabric platform - and you will do it using the AI-assisted tools and workflows the team has adopted as standard, under a peer-review safety gate, which is also where a lot of your own learning ...

source systems into our Lakehouse on Microsoft Fabric, process it through a medallion architecture, and deliver modelled, trusted data that’s ready for reporting, AI and machine learning. You’ll sit in our Data team reporting to the Head of Data, working with our Data Analysts on modelling, and with … standards we adopt. As the data platform grows so will the role and there’s scope to move into advanced analytics, and AI-assisted tooling such as Fabric MCP, Fabric IQ, Copilot and data agents. Key Responsibilities Building and maintaining scalable data pipelines, pulling data in from core business systems ...