751 to 775 of 18,052 AI Jobs in the UK

advance discovery and improve health outcomes through trusted content, data, and analytics. This role sits within Elsevier's Platform Data Science organization, a centralized AI and data science group responsible for advancing intelligent discovery, retrieval, and generative AI capabilities across Elsevier products and platforms. The organization develops foundational AI technologies … that power experiences such as LeapSpace, Elsevier's AI-powered research assistant, as well as Elsevier's broader Search & AI Platform. The Platform Data Science organization works at the intersection of: Search and retrieval systemsGenerative AI and LLM applicationsAI evaluation and experimentationSemantic enrichment and knowledge systemsScalable AI platforms and intelligent ...

running. Find Out Why At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect … want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver ...

professionals advance discovery and improve health outcomes through trusted content, data, and analytics.This role sits within Elsevier’s Platform Data Science organization, a centralized AI and data science group responsible for advancing intelligent discovery, retrieval, and generative AI capabilities across Elsevier products and platforms. The organization develops foundational AI technologies … that power experiences such as LeapSpace, Elsevier’s AI-powered research assistant, as well as Elsevier’s broader Search & AI Platform.The Platform Data Science organization works at the intersection of:Search and retrieval systemsGenerative AI and LLM applicationsAI evaluation and experimentationSemantic enrichment and knowledge systemsScalable AI platforms and intelligent workflowsAbout ...

Risk Manager, you will help strengthen BCG’s Enterprise Risk Management (ERM) program with a primary focus on IT Services & Cyber Risk and Data & AI Risk. Working across global teams, you will help ensure the firm’s risk management approach remains forward-looking by strengthening capabilities to proactively identify, assess … monitor, and respond to emerging risks across the rapidly evolving digital landscape. You will translate complex technology, IT Services, cyber, data, and AI risks into clear, actionable insights while supporting consistent, transparent enterprise risk management practices across the firm.In this role, you will partner with colleagues across Digital, Information Technology ...

that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Quantiphi, AI-First, Enterprise Solutions About Quantiphi: Quantiphi is an award-winning AI Services company, driven by a deep desire to solve transformational problems at the heart … NVIDIA, Snowflake, and others, we’ve been recognized with: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions ...

security, and trust topics credibly in customer conversations, while governance strategy and roadmap ownership sit with a dedicated specialist role. Practical understanding of how AI workloads — LLMs, RAG, agentic AI — consume enterprise data. The emphasis is on engineering trusted, scalable data foundations, not building AI models. Experience integrating and using … AI coding assistants and agent tools (e.g., Claude, Copilot, Glean, Snowflake Cortex Code) with cloud data platforms. Experience implementing Databricks and Snowflake solutions on Azure, AWS, or Google Cloud. Advisory mindset and the ability to lead customers through ambiguous technical challenges: structuring discovery engagements, identifying technical and organizational gaps, evaluating ...

most recognised and celebrated personal lines insurers. The successful candidate will be working alongside a talented team of Data & AI Engineers, Data Scientists, Analysts, Developers and Architects to design and deliver cutting-edge machine learning and AI-driven solutions. From enabling advanced analytics to supporting product innovation across the business … Responsibilities Designing, building and maintaining scalable data products. Developing and optimising data pipelines, ensuring high-quality, reliable and accessible datasets for analytics and AI use cases. Collaborating with product managers and cross-functional agile squads to deliver data-driven solutions, including GenAI applications. Integrating and transforming data from multiple sources ...

enable better risk oversight, decision making and operational efficiency. In addition to driving delivery and technical excellence, you will help shape the adoption of AI-powered capabilities that enhance analytics, automation and user experience while maintaining strong governance and controls.This role requires a combination of deep technical expertise, engineering leadership … resiliency, observability and operational excellence, including root cause analysis and continuous improvement activities.Lead integration across multiple internal platforms, services and data sources.Evaluate and implement AI, machine learning and generative AI capabilities to improve analytics, user productivity, decision support and workflow automation.Ensure solutions meet firm standards for security, controls, governance, resiliency ...

customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. You are developing a technical specialisation (archetype) and are recognised within your team for depth in a specific domain. The Impact You Will Have … accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions - designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating ...

Shape the Future of AI & Data with UsAt Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their … practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud. What You'll DoTranslating Requirements: Interpret vague requirements and develop models to solve real-world problems. Data Science: Conduct ML experiments using programming languages ...

Senior Business Development, EMEA GTM Surge AccelerationAre you interested in joining our EMEA GTM Surge Acceleration team to drive transformational Generative AI adoption for our most strategic enterprise customers We are looking for a seasoned Senior Business Development lead with experience driving AI and cloud adoption across priority industries, creating … most complex accounts.You will be the trusted advisor helping C-suite leaders, you will live at the intersection of industry expertise, executive advisory, and AI-powered business transformation.You'll join a high-impact, lean team of senior industry-specialized advisors who combine deep sector knowledge with commercial acumen and orchestration ...

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 ...

support of the firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous … backend engineering, Cloud infra DevOps and MLOps Designs and implements data engineering solutions, leveraging modern big data technologies Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness ...

they are trusted, scalable and built for impact. You will drive data modelling standards, analytics architecture and engineering best practices, enabling high-quality insights, AI-powered analytics and secure self-service capabilities. Partnering with security, platform and engineering teams, you will shape long-term strategy, champion data governance and AI … evolution of the cybersecurity analytics architecture, defining data patterns, modelling approaches and data product frameworks that support reporting, advanced analytics, machine learning, GenAI and AI-powered analytics experiences at scale. Data Integration, Transformation and Quality: Establish the strategic approach for data integration, transformation and quality management across the raw, trusted ...

support of the firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous … engineering, backend engineering, Cloud infra DevOps and MLOpsDesigns and implements data engineering solutions, leveraging modern big data technologies Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness ...

data products that transform raw security data into reliable, accessible and actionable insights. These foundations will enable reporting, advanced analytics, machine learning, GenAI and AI-powered analytics experiences to help security teams investigate, understand and respond to threats more effectively. Working closely with cross-functional security and data teams … design and enable analytics agents that allow users to explore and self-serve security and business data. You will champion the responsible use of AI through appropriate oversight, security and governance, contribute to the analytics platform architecture, and mentor junior team members to deliver high-quality cybersecurity data products.What ...

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 ...

technology capabilities for our customers and colleagues.To be successful as a Forward Deployment Engineer, you should have experience with:Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face … financial environments including one or more of the following: investment banking, risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices.Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications.Experience with ...

technology capabilities for our customers and colleagues.To be successful as a Forward Deployment Engineer, you should have experience with:Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face … financial environments including one or more of the following: investment banking, risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices.Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications.Experience with ...

technology capabilities for our customers and colleagues. To be successful as a Forward Deployment Engineer, you should have experience with: Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face … financial environments including one or more of the following: investment banking, risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. ...

technology capabilities for our customers and colleagues. To be successful as a Forward Deployment Engineer, you should have experience with: Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face … financial environments including one or more of the following: investment banking, risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. ...

solutions using agentic development practices including spec-driven development and agent-driven development with tools such as Claude Code and Codex. You will build AI-native products and workflows, embedding AI capabilities directly into compensation, payroll, and equity workflows to reduce manual effort and improve global mobility outcomes.TasksBuild and evolve … complex regulatory and client requirements into technical plans and deliverables. Use agentic development practices including agent-driven development with Claude Code, Codex, or similar AI coding agents to accelerate design, implementation, testing, and operations across the SDLC. Work in a spec-driven development workflow, authoring detailed specifications—including country-specific ...

excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building … innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises ...

develop reporting solutions and uncover valuable insights that support operational and strategic decision-making. You'll also have the opportunity to contribute to exciting AI and automation initiatives, helping the organisation maximise the value of its technology investments and modern data platforms. Key responsibilities will include: Developing and maintaining … Supporting business stakeholders with reporting, analysis and data-driven insights Managing day-to-day requests for information and reporting across the business Contributing to AI-enabled analytics and digital transformation initiatives Supporting automation projects using Microsoft Power Platform technologies Ensuring data quality, governance, validation and reporting standards are maintained Collaborating ...

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 ...