601 to 625 of 7,056 AI Jobs in the UK excluding London

written and verbal communication skills Excellent teamwork and collaboration skills Experience operating in an Agile environment, with a deep understanding of agile development principles. AI & Modern Engineering Skillsets Hands‐on experience using AI coding assistants such as: Cursor or equivalent AI‐first IDEs Experience applying Generative AI for: Code generation … refactoring Test generation and coverage improvement Documentation and API contract generation Strong understanding of responsible AI usage, including code correctness, security, data privacy, and licensing considerations. Ability to critically review and validate AI‐generated code outputs. Candescent is the largest non-core digital banking provider. We bring together the transformative ...

translating complex regional data into actionable insights, forecasts, and reporting that enable predictable, efficient revenue growth. Aligned with Avalara's increasing focus on AI-powered decisioning, automation, and intelligent workflows, this role will help embed advanced analytics and AI into core EMEA GTM processes, driving smarter, faster, and more scalable … analytics, or business intelligence, with strong forecasting fundamentals and hands‐on experience with modern data and GTM tooling (e.g., Salesforce, data warehouses, BI and AI-enabled platforms). What Your Responsibilities Will Be GTM Performance Insights, BI & Self-Service Analytics Localize and maintain the global KPI framework for EMEA sales ...

platform best practices across all deliverables. Continuous Improvement: Maintain analytical capabilities and explore broader capabilities (such as Azure Data Services, Qlik, Cognos TM1, or AI-enabled forecasting where applicable). What You'll Bring BI Development Experience: A proven track record of delivering end-to-end business intelligence solutions … governance, and delivering insight that influences practical business decisions. Desirable Background: Exposure to broader Azure Data Services, Qlik, Cognos TM1, or machine learning/AI forecasting is a bonus. Who You Are A Collaborative Business Partner: Comfortable operating as the connector between technical teams and operational stakeholders. Detail-Oriented & Quality ...

United Kingdom The Role The Senior Marketing Insights Manager is responsible for turning data into commercial advantage. The role will develop and own an AI‐powered Marketing Insights Hub, creating a single source of truth by combining customer, commercial, marketing and market intelligence data. Using advanced analytics, forecasting and marketing … sustainable business growth. It also champions a data‐driven culture through predictive analytics, automation and self‐service reporting. Key Responsibilities Develop and lead an AI‐powered Marketing Insights Hub, integrating marketing, customer, commercial and market data into a single insights platform. Create automated dashboards, self‐service reporting and AI‐driven ...

Youll play a central role in Kingdoms data and digital journey designing dashboards, analysing complex datasets, improving data quality, and supporting the use of AI and automation to make reporting and decision-making faster, clearer, and more impactful. Working closely with operational, commercial, and support teams, youll help colleagues understand … systems, ensuring reporting is accurate and reliable. Own data quality, contribute to improvements in governance, and support refresh cycles, validation checks, and performance optimisation. AI, Automation & Continuous Improvement: Support AI-driven insights and automation in analytics and reporting. Reduce manual reporting and repetitive tasks, and work with teams to identify ...

contribute to digital transformation initiatives within Finance, identifying opportunities to automate, streamline and enhance processes using modern digital tools, advanced analytics and emerging AI capabilities. Explore and deploy AI enabled solutions to streamline accounting workflows such as reconciliations, journal validation, reporting preparation and data quality controls. Drive the adoption … next‐generation tools such as intelligent agents, RPA integrations, predictive models, and generative‐AI‐enabled reporting to significantly reduce manual effort and improve accuracy and speed within the Finance functions. Shape, digitally, financial planning processes including budgets, “rolling” forecasts, cashflow and FX exposure planning. Collaborate proactively with UK and international ...

Senior Cyber Security Engineer to take ownership of the organisation's security posture across its web platforms, Azure cloud environment, identity services, and emerging AI capabilities. This is a highly influential technical role sitting at the intersection of infrastructure, engineering, and digital delivery teams. The successful candidate will play … Acting as the primary technical security contact for Arctic Wolf and other security partners, coordinating investigations and response activities Supporting the secure adoption of AI technologies through the development of appropriate controls, guardrails, and risk management frameworks Participating in architecture and design reviews, ensuring security considerations are embedded from ...

creative teams to design personalised experiences that nurture relationships through retention and advocacy. Define the strategic requirements for the experience stack (CRM, CDP, AI) working with tech experts to ensure technical architectures are designed to deliver long‐term business intelligence and customer value. Establish measurement and optimisation frameworks that connect … ecosystems (e.g. CMS, CRM, CDP, analytics, automation), and how they enable personalised, consistent customer journeys. Understanding and keeping abreast of emerging technologies such as AI, personalisation, and automation and their implications for customer experience and engagement. Deep understanding of the challenges and opportunities in the nonprofit, membership, cultural, and public ...

Management Systems (RIMS) and Digitalisation requires a blend of regulatory domain expertise, systems leadership, digital transformation capability, and a strong focus on automation and AI‐enabled process optimisation. They will be a key member of project teams responsible for system definition, selection and implementation and take a lead role … process and system improvements aligned with developments based on industry best practice. This role ensures that RIMS platforms, business processes, automation solutions, and emerging AI technologies are designed and operated to deliver high‐quality regulatory data, efficient submission operations, and seamless Health Authority interactions. The role drives the digital transformation ...

working, what isn't, and chart a credible path forward. You'll design and defend end‐to‐end solutions across software, systems, data, AI, and DevOps, translating ambiguous business goals into architectures that are practical to build and easy to evolve. This is a hands‐on and client‐facing role. … rationalize the pros, cons, and risks of what's in place versus what's proposed. Design end‐to‐end solution architectures spanning application, data, AI/ML, and DevOps concerns, and document them clearly enough for both engineers and executives to act on. Present and defend architecture recommendations to client ...

Broker, General and reinsurance sectors. Develop pursuit plans and account strategies aligned to policy administration, core process automation, claims, underwriting, and distribution modernization. Originate AI-led large transformation opportunities with Tier 2 and mid-sized insurers and brokers. 2. GTM Execution & Solution Positioning Collaborate with solution architects and insurance domain … SMEs to craft tailored value propositions. Lead workshops, bids, and presentations focused on AI-led automation, data modernization, legacy system transformation, and cloud adoption. Position techno functional solutions in areas such as intelligent document management, telematics-based underwriting, fraud analytics, and digital claims orchestration. 3. Stakeholder Engagement & Relationship Management Establish ...

management and commitment to innovation. However, personalising your recruitment application to highlight your unique skills and experiences is crucial. Relying too heavily on generic, AI-generated content instead of drawing from your own strengths and accomplishments may lead to your application being rejected if multiple candidates present identical or similar ...

working in, we require all candidates tobe willing to attain an eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission ...

working in, we require all candidates tobe willing to attain an eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission ...

management and commitment to innovation. However, personalising your recruitment application to highlight your unique skills and experiences is crucial. Relying too heavily on generic, AI-generated content instead of drawing from your own strengths and accomplishments may lead to your application being rejected if multiple candidates present identical or similar ...

data serialisation formatsAble to write quality, testable code and has experience of automated testingExperience with Continuous Integration and Continuous Deployment techniquesA Keen interest in AI TechnologiesDESIRABLE REQUIREMENTS:Experience of performance tuningExperience of data visualisation and complex data transformationsExperience with steaming and event-processing architectures including technologies such as Kafka … change-data-capture (CDC) productsExpertise in continuous improvement and sharing input on data best practicePractical experience with AI technologies, tools, processes and deliveryEmbracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse ...

Waterfall frameworks, working directly with architects to ensure a smooth transition from project delivery into operations.. Software Engineering Excellence: Modernise development practices, embedding DevOps, AI-assisted engineering, automation, and security-by-design across our enterprise applications and APIs . Global Infrastructure Management: Oversee the operation, scaling, and cost-optimisation … lead technical specialists across each area. Modern Engineering & Automation: Familiarity with modern software engineering practices, including DevOps, automation, security-by-design, and leveraging AI-assisted engineering tools. Delivery Oversight: Experience directing enterprise-wide technology deliveries and COTS/ERP implementations using Agile, Waterfall, and Hybrid methodologies. Data & BI Governance: Broad ...

agile methodologies, including CI/CD, application resiliency, and security Demonstrated proficiency in software applications and technical processes within a technical discipline (cloud, artificial intelligence, machine learning, mobile, etc.) Practical cloud‐native experience Proficient in working with SQL and NoSQL databases Preferred Qualifications, Capabilities, and Skills: Experience designing and delivering ...

agile methodologies, including CI/CD, application resiliency, and security Demonstrated proficiency in software applications and technical processes within a technical discipline (cloud, artificial intelligence, machine learning, mobile, etc.) Practical cloud‐native experience Proficient in working with SQL and NoSQL databases Preferred Qualifications, Capabilities, and Skills Experience designing and delivering ...

stakeholder management skills Experience with tools like JIRA, Confluence and Azure DevOps Exposure to C# or similar technologies is desirable We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions ...

business areas, balancing efficiency, commercial value, user experience and innovation.* Drive improvements in partnership with business stakeholders and product teams.* Champion appropriate uses of AI to improve internal processes and systems, in line with Club policies.* Use data to evaluate performance, identify cost-saving opportunities and inform roadmap priorities.* Support … compliance, governance and security requirements.* An understanding of UX/UI principles and a focus on delivering a strong user experience.* Experience using AI and automation to simplify processes and save time or cost.Essential Technical & Functional Skills* Experience setting and monitoring KPIs, targets and performance measures.* Strong analytical capability, with ...

Knowledge of Azure DevOps, Git, APIs, and Agile methodologies Desirable: Microsoft Fabric Azure Data Factory Azure Functions Power Apps Power Automate SSRS/SSIS AI and Machine Learning exposure. Why Join Us? At Ascent, we pride ourselves on creating a supportive, inclusive, and collaborative environment where your contributions truly make ...

organisation who are making a real difference to people's lives. We require experienced senior or mid-level Data Platform Engineers to join the AI and Data Platform teams. £70,000 - £100,000 + Bonus + Excellent Benefits Fully remote with occasional travel to one of their offices. Expert Terraform ...

methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies ABOUT US J.P. Morgan ...

methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile) Ability to solve data‐oriented problems using technologies such as SQL, Relational DB, Spark, NoSQL, optimizing for performance Preferred Qualifications, Capabilities ...