251 to 275 of 9,344 AI Jobs in the UK

shaping our data strategy, working across multiple departments to design and implement a robust data ecosystem that supports our business intelligence, analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/ELT processes … cloud-based data platforms. The Data Architect will be a key partner in driving data-driven decisions and future-proofing Jazwares’ data platform for AI by providing the foundation for reliable, high-quality data. What You Will Do: Design and maintain enterprise data architecture frameworks, standards, and best practices. Develop ...

existing process Desirable/Nice to Have: Tableau and/or Azure Data Factory Python Exposure to CI/CD for data platforms or AI enabled analytics Why Apply? Join at the start of a major digital transformation programme, with real ownership from day one Competitive salary plus a full … long term data strategy for the whole organisation Clear progression towards Data Architect or Data Lead Collaborative engineering culture with genuine investment in AI and emerging technology Next Steps Interested? Apply today or contact Aaron Somers at Ocho () for a confidential conversation. Skills: data engineering data business intelligence Benefits: Work ...

derivatives (e.g., uncleared margin rules, clearing mandates) and ensure compliance is embedded in product features and delivery models. Integrate new technologies like automation, AI, and distributed ledger technology (DLT) where appropriate to enhance operational workflows for complex instruments. Collaboration and Leadership Work closely with cross-functional teams, including engineering, client … Education & Preferred Qualifications Experience with data analytics tools (e.g., SQL, Tableau, Python) to derive insights and support decision-making. Familiarity with emerging technologies like AI, machine learning, and DLT within financial services. Prior experience working within a financial services technology platform or a similar business unit. CFA, MBA, or Masters ...

About Us At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands-on experts who love solving problems … acquired by Softcat, a leading provider of IT infrastructure services to corporate and public sectors. By combining Oakland's deep expertise in data and AI consulting with Softcat's extensive portfolio and market presence, we can deliver unparalleled value and innovation to our clients. This partnership marks a significant milestone ...

About our team We are a fast-moving, high-impact Data Science & AI team building real-world GenAI and ML solutions across the entire LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success, and Engineering—from predictive models to enterprise GenAI apps to automation that … working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations. In this role, you will design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end-to-end across ideation ...

About Us At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands‐on experts who love solving problems … acquired by Softcat, a leading provider of IT infrastructure services to corporate and public sectors. By combining Oakland's deep expertise in data and AI consulting with Softcat's extensive portfolio and market presence, we can deliver unparalleled value and innovation to our clients. This partnership marks a significant milestone ...

similar), SQL Server SSAS Tabular (DAX), Dimensional Modelling, Data Warehousing. Ecosystem & Management: Azure DevOps, SQL MI/DB, Active Batch, APIs, Event Hub, Kafka, AI/ML concepts. Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

enjoy working on advanced machine learning models and cutting-edge analytics solutions?***About our team:**We are a fast-moving, high-impact Data Science & AI team building real-world GenAI and ML solutions across the entire LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success … comfortable working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations.In this role, you will design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end-to-end across ideation ...

innovative technology products, in order to help them grow their businesses and enhance digital transformation. Offering products within Cyber Security, Internet of Things (IoT), Artificial Intelligence, and many more, Verizon is at the centre of the communications technology revolution. This business is transforming the way we connect across the globe ...

Cloud (OIC) solutions for seamless integration across Oracle and third‐party applications. Design and implement Databricks‐based modern data platforms supporting analytics, reporting, and AI/ML use cases. Develop enterprise data architecture standards, data models, and integration patterns to ensure consistency and scalability. Lead cloud migration and modernization initiatives ...

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 ...

Microsoft Azure Working with GitHub for version control, code reviews, and collaborative development Assisting with Google Workspace administration and integrations Exploring and implementing AI integrations to support business processes Documenting systems, processes, data flows, and dependencies Supporting process redesign and simplification initiatives across the business Taking increasing ownership of smaller … system and communication channels Training 15 months. Delivered remotely, includes 13 days of virtual workshop delivery. Candidate will achieve Digital Support Technician Level 3 (AI Support & Productivity Technician): Digital Workplace, Data & AI Foundations Digital Systems, Applications & Stakeholder Productivity AI-Enhanced Helpdesk, Troubleshooting & System Maintenance Cyber Security, Data Protection & Risk Management ...

skilled Data Scientist to join our dynamic and innovative team. You’ll play a key role in designing, developing and deploying data science and AI solutions that deliver real commercial value and improve the health and well-being of our customers. If you're passionate about using data and AI … make a genuine difference, we want to hear from you! Key responsibilities: Lead and deliver data science and AI projects across the full lifecycle, from problem definition and business case development through to model deployment. Apply a broad range of AI and data science methodologies across multi-modal data sources ...

skilled Data Scientist to join our dynamic and innovative team. You’ll play a key role in designing, developing and deploying data science and AI solutions that deliver real commercial value and improve the health and well-being of our customers. If you're passionate about using data and AI … make a genuine difference, we want to hear from you! Key responsibilities: Lead and deliver data science and AI projects across the full lifecycle, from problem definition and business case development through to model deployment. Apply a broad range of AI and data science methodologies across multi-modal data sources ...

skilled Data Scientist to join our dynamic and innovative team. You’ll play a key role in designing, developing and deploying data science and AI solutions that deliver real commercial value and improve the health and well-being of our customers. If you're passionate about using data and AI … make a genuine difference, we want to hear from you! Key responsibilities: Lead and deliver data science and AI projects across the full lifecycle, from problem definition and business case development through to model deployment. Apply a broad range of AI and data science methodologies across multi-modal data sources ...

Title: Solutions architect Job Summary The Forward Deployed Engineer (FDE) is a hands-on engineering role focused on building and deploying AI-powered solutions within client environments. Working as part of client-facing delivery teams, this role partnerswith senior engineers, and consulting leads to implement scalable, production-ready systems … settings, requiring strong collaboration and the ability to support technical discussions withboth engineering and business stakeholders. Key Responsibilities Solution Implementation & Delivery Build and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools inclient environments Implement integrations between AI models, APIs, and enterprise healthcare systems Translate defined solution ...

Overview At NewDay, we are modernising how we serve customers and investing in platforms, automation and AI to power exceptional experiences. We are seeking a Senior Dynamics 365 Developer to design, develop and evolve our customer service and contact centre technology landscape. This role sits at the intersection of customer … experience, engineering and AI, helping to deliver next-generation capabilities across Dynamics 365, Power Platform, Copilot Studio and Azure. You will work on business-critical solutions that support customer operations, empowering colleagues with modern tools and creating seamless, intelligent experiences for millions of customers. Responsibilities Dynamics 365 & Contact Centre Engineering ...

contributing to informed decision‐making for secure, stable application development. Champion agile methodologies, application resiliency, and security throughout the development process. Leverages enterprise‐authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‐authorized AI‐assisted development and automation capabilities, to improve the value realized by automation. Foster a culture of diversity, inclusion, and respect within the team, actively participating ...

worldwide. You will work on challenging problems across software engineering where performance, data quality, and reliability are non‐negotiable, leveraging modern cloud (AWS) and AI‐assisted development tooling to accelerate delivery without compromising control. Practical use of AI‐assisted development tooling to improve engineering productivity is required. WHAT … such as AWS or Azure Knowledge of CI/CD, automation, testing, and modern engineering practices Strong problem‐solving and analytical skills Interest in AI and emerging technologies Ability to collaborate effectively across global teams Bachelor’s degree in computer science, engineering, or equivalent practical experience Experience We Value ...

contributing to informed decision-making for secure, stable application development. Champion agile methodologies, application resiliency, and security throughout the development process. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI‐assisted development and automation capabilities, to improve the value realized by automation. Foster a culture of diversity, inclusion, and respect within the team, actively participating ...

professional to join our team in the role of Senior Machine Learning Engineer. As our Senior Machine Learning Engineer you’ll join the Growth AI programme within Corporate & Institutional Banking (CIB) Data & Analytics. Growth AI is a key pillar of the Insights and Analytics space within CIB Data & Analytics. … focus is to develop AI applications that identify new business opportunities, identify risks of client attrition, and enhance our collective capabilities to serve our customers. As an HSBC employee in the UK, you’ll have access to tailored professional development opportunities and a competitive pay and benefits package. private healthcare ...

direct line management of the Finance Process Specialist and any future roles within the finance systems team. The role also carries responsibility for governing AI adoption within Finance and ensuring all technology outputs meet audit and public body requirements. Key Responsibilities The key responsibilities of the role are outlined below … improvement within the team, supporting colleagues of varying technical skills to adopt new tools and translating complex system logic into accessible, well-documented outputs. AI governance and adoption Evaluate and govern AI tool deployment in Finance, identifying where AI can improve efficiency, data quality, or reporting. Ensure AI-assisted outputs ...

LLMs, strong Python coding skills, and a track record of deploying models to production? Do you thrive in building real-world AI solutions that are used by actual customers? If so, we'd love to talk to you!**ROLE SUMMARY:** As a Principal Data Scientist (individual contributor), you will play … hands-on role in designing, building, and deploying scalable AI solutions that go beyond prototypes and are actively used in production. You'll work closely with collaborative teams to co-develop innovative products for financial markets and professionals.We're looking for someone who combines deep technical expertise ...

Define and drive SAP Data & Analytics strategies aligned with business and digital transformation goals. Lead large-scale transformation programs involving SAP BDC, Datasphere, SAC, AI, and enterprise cloud data platforms. Act as a trusted advisor to executive and senior business stakeholders. Establish best practices, governance frameworks, architectural standards, and delivery … dashboards, planning, and predictive analytics. SAP BDC Connect and Data Products frameworks. Intelligent Applications and Data Packages. Medallion Architecture patterns leveraging SAP HANA Cloud. AI-enabled analytics and data-driven decision support. Key responsibilities include: Designing analytical, semantic, and business-layer data models aligned with organizational KPIs and reporting requirements. ...

direct line management of the Finance Process Specialist and any future roles within the finance systems team. The role also carries responsibility for governing AI adoption within Finance and ensuring all technology outputs meet audit and public body requirements. Key Responsibilities The key responsibilities of the role are outlined below … improvement within the team, supporting colleagues of varying technical skills to adopt new tools and translating complex system logic into accessible, well-documented outputs. AI governance and adoption Evaluate and govern AI tool deployment in Finance, identifying where AI can improve efficiency, data quality, or reporting. Ensure AI-assisted outputs ...