351 to 375 of 22,281 AI Jobs in England

Office, United Kingdom: Boston Office: New York Office, United States: Miami Office: Charlotte Office: Full time: Posted Today: JR102371Darktrace is a global leader in AI-driven cybersecurity, helping organizations stay ahead of evolving threats every day. Darktrace was built on a genuinely differentiated idea: that Adaptive AI could detect … decision-making. The successful candidate will build and lead a high-performing team of Data Analysts, BI Analysts, and Analytics Engineers while leveraging modern AI-enabled analytics practices to improve efficiency, scalability, and business impact. This is a highly visible leadership role that will partner closely with executive stakeholders including ...

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 - and every one of those vendors is an integration that brings another slice of their spend into view. You'll own DoiT's Integrations Framework … small, well-understood piece of work rather than a project - so coverage grows as fast as the vendor landscape does. You'll work AI-augmented from day one. Integration development is spec-driven work against constantly changing third-party APIs: one of the highest-leverage places to apply agentic AI ...

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 - and every one of those vendors is an integration that brings another slice of their spend into view. You'll own DoiT's Integrations Framework … small, well-understood piece of work rather than a project - so coverage grows as fast as the vendor landscape does. You'll work AI-augmented from day one. Integration development is spec-driven work against constantly changing third-party APIs: one of the highest-leverage places to apply agentic AI ...

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 - and every one of those vendors is an integration that brings another slice of their spend into view. You'll own DoiT's Integrations Framework … small, well-understood piece of work rather than a project - so coverage grows as fast as the vendor landscape does. You'll work AI-augmented from day one. Integration development is spec-driven work against constantly changing third-party APIs: one of the highest-leverage places to apply agentic AI ...

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 - and every one of those vendors is an integration that brings another slice of their spend into view. You'll own DoiT's Integrations Framework … small, well-understood piece of work rather than a project - so coverage grows as fast as the vendor landscape does. You'll work AI-augmented from day one. Integration development is spec-driven work against constantly changing third-party APIs: one of the highest-leverage places to apply agentic AI ...

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 - and every one of those vendors is an integration that brings another slice of their spend into view. You'll own DoiT's Integrations Framework … small, well-understood piece of work rather than a project - so coverage grows as fast as the vendor landscape does. You'll work AI-augmented from day one. Integration development is spec-driven work against constantly changing third-party APIs: one of the highest-leverage places to apply agentic AI ...

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 - and every one of those vendors is an integration that brings another slice of their spend into view. You'll own DoiT's Integrations Framework … small, well-understood piece of work rather than a project - so coverage grows as fast as the vendor landscape does. You'll work AI-augmented from day one. Integration development is spec-driven work against constantly changing third-party APIs: one of the highest-leverage places to apply agentic AI ...

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 - and every one of those vendors is an integration that brings another slice of their spend into view. You'll own DoiT's Integrations Framework … small, well-understood piece of work rather than a project - so coverage grows as fast as the vendor landscape does. You'll work AI-augmented from day one. Integration development is spec-driven work against constantly changing third-party APIs: one of the highest-leverage places to apply agentic AI ...

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 - and every one of those vendors is an integration that brings another slice of their spend into view. You'll own DoiT's Integrations Framework … small, well-understood piece of work rather than a project - so coverage grows as fast as the vendor landscape does. You'll work AI-augmented from day one. Integration development is spec-driven work against constantly changing third-party APIs: one of the highest-leverage places to apply agentic AI ...

leadership role in this journey. About the Role (continued) As Director, Risk and Compliance Engineering & Assurance, you will: Set the technical strategy. Own the AI strategy, foundations, and engineering roadmap for Risk & Compliance, setting the technical direction for how the function adopts and scales AI, automation, and agentic workflows … resilience data products, curated collections of signals from across key areas within Thomson Reuters. Modernise TPRM and partnerships. Mature the automation and agentic-AI capabilities for third-party due diligence (supplier and customer), partnerships due diligence, compressing cycle times while strengthening, not weakening, the quality of assessment and enhancing continuous ...

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 ...

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 ...

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 ...

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 ...

adopted by teams, and improve decision‐making across the firm. You will help shape these capabilities inside an established Design Technology team, working alongside AI and data engineers, data scientists, designers, and product stakeholders to translate ambitious, pioneering ideas into production‐ready platforms. What You Will Do Design, build … datasets. Integrate machine learning outputs into design and delivery workflows so practitioners can access insights earlier and make more informed project decisions. Apply responsible AI and data governance practices, including transparency, traceability, human oversight, and appropriate handling of client and project data. Support the firm’s data‐driven design community ...

Stratford Upon Avon About the role As a Data Scientist at NFU Mutual, you'll design, develop and deploy advanced analytical, machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains, you'll combine statistical modelling, predictive analytics and modern machine learning … will include designing, building and improving machine learning solutions such as predictive models, segmentation and forecasting. The team is also exploring and delivering Generative AI/Large Language Model solutions, providing opportunities to work with modern AI technologies alongside established machine learning techniques. You’ll build a detailed understanding ...

equivalent professional experience. Desirable Experience with technologies such as Azure, Databricks, Power BI, or similar enterprise platforms. Exposure to data analytics, business intelligence, AI/ML, cybersecurity, or cloud transformation programmes. Knowledge of microservices, domain-driven design, or cloud-native solutions. Python or other scripting/programming experience. Experience within ...

equivalent professional experience. Desirable Experience with technologies such as Azure, Databricks, Power BI, or similar enterprise platforms. Exposure to data analytics, business intelligence, AI/ML, cybersecurity, or cloud transformation programmes. Knowledge of microservices, domain-driven design, or cloud-native solutions. Python or other scripting/programming experience. Experience within ...

programming language(s)Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Ability to tackle design and functionality problems independently with little to no oversightExperience in Computer Science, Computer Engineering, Mathematics ...

customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team! The Role: The Director, Customer Intelligence & AI is responsible for building and leading the company's customer intelligence and artificial intelligence capabilities, creating a strategic advantage through data-driven insights, predictive … automation of renewal workflows and decision-support processes. Primary Outcome: Improve customer retention, reduce revenue attrition, and increase renewal performance through advanced customer intelligence. Artificial Intelligence Strategy & Enablement: Lead evaluation and implementation of AI solutions across Revenue Management and customer-facing functions. Identify opportunities to leverage AI to improve customer ...

your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility ...

Uniphore is one of the largest B2B AI-native companies—decades-proven, built‐for‐scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments. Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver … only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co‐pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data. As AI becomes more powerful, every part ...

experienced Lead Data Engineer to join our talented team. The ideal candidate will have a strong background in data engineering, with experience in AI and a proven track record of designing and implementing robust data pipelines. Responsibilities Lead the design, development, and maintenance of scalable and efficient data pipelines … engineers, fostering a culture of continuous learning and improvement Stay up-to-date with the latest trends and best practices in data engineering and AI, and apply them to our projects Participate in the evaluation and selection of new technologies and tools to enhance our data engineering capabilities Contribute ...