5,676 to 5,700 of 25,479 AI Jobs in the UK

recruiting a Data Engineer to join an organisation that's modernising its enterprise data platform and preparing for the next generation of analytics and AI driven solutions. Working Pattern: 3 days per week in the office You will be responsible for shaping how data is structured, governed and consumed across … collaborate closely with Analytics Engineers to ensure data is reliable, well-governed and ready to support business intelligence, automation and the next generation of AI-powered solutions. This is a business undergoing significant transformation, including a major CRM migration and ongoing investment in modern cloud technologies. The role offers genuine ...

without waiting for perfect conditions Clear communicator — able to translate complex financial models and revenue recognition logic into straightforward decisions for non-finance stakeholders AI-Specific Skills Lansweeper is an AI-native company. In this role, AI fluency means more than awareness — it's how you work. You're expected … actively use AI tools to accelerate financial modelling, automate recurring reporting, and surface insights faster across GTM planning and SaaS metrics. Whether that's Copilot in Excel or NetSuite, AI-assisted FP&A platforms, or large language models for analysis and documentation — you know how to apply these tools practically ...

Lead Applied Scientist, Document UnderstandingThis position is based in either Zug, Switzerland or London, UK. Want to use your experience of building document understanding AI solutions to enhance our leading products in the tax, legal and professional services industries Document understanding is a foundational intelligence layer that powers every major … capability across our legal AI platform—from search and information extraction to agentic reasoning in products like Westlaw, PracticalLaw, and CoCounsel. You'll build state-of-the-art semantic chunking, document enrichment, and knowledge graph construction systems that serve as the cognitive foundation multiple product teams depend on, working across ...

intersection of First Line, Compliance, Engineering and Data. Your focus will be on vendor integrations, list/matching logic/fuzziness optimisations and AI-driven false‐positive reduction considering different product and business vertical compliance frameworks. This role reports to the Head of Financial Crime Intelligence Product. What … adverse media aligned with Ebury’s different compliance frameworks and risk appetite. Use data and research to identify pain points, improve fuzziness scores. Leverage AI to improve screening precision, including risk-based matching, prioritization and alert scoring, suppression and de‐duplication strategies. Partner with first line and second line operational ...

motion.Identify patterns across historical crisis events to inform threshold definitions, SLA calibration, and playbook updates.AI in Crisis OperationsExpedia Group is actively investing in AI-assisted operations and expects analysts to be fluent, practical users of AI tools in their day-to-day work. In this role, that means the following.Use … AI tools to accelerate monitoring and signal detection across large volumes of threat intelligence, news, and meteorological data, reducing the time between event onset and first assessment.Leverage AI-assisted drafting to produce first-pass traveler communications, leadership updates, and situation summaries faster, while owning the review, accuracy, and final judgment ...

value. The ideal candidate has experience in aSAAStechnology company.Exposure to product-led growth (PLG) is highly valuable. You will partner closely with Product, Engineering, AI/Data, Sales, Marketing, Customer Success, Enablement, Finance, and senior leadership toidentifymarket opportunities, influence product strategy, and bring differentiated technology solutions to market. This … propositions, and launch strategies based on customer, market, and competitive insights. Partner with Product and Engineering to understand product roadmaps, technical capabilities, integrations, data, AI functionality, and translate these into compelling customer benefits. Identifyopportunities to improveproduct-marketfit, adoption, expansion, and revenue growth. AI & Technical Product Marketing Develop GTM strategies ...

Paris, Barcelona, Milan, Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel.Introducing Machine Learning and AI at Trainline Machine learning and AI are central to how Trainline helps millions of customers make smarter, more sustainable travel choices every day. … models and AI systems power critical parts of the platform - from search and recommendations to pricing intelligence, personalisation, digital marketing, and AI-driven customer support.Our ML teams own the full delivery lifecycle, from ideation through to production. We work closely with stakeholders across the business to expand the reach ...

About the Role We\'re seeking a Forward Deployed Engineer to bridge the gap between our AI account management product and our enterprise clients. You\'ll work directly with customers to implement, customize, and optimize our platform for their specific business needs while feeding insights back to our engineering team. … What You\'ll Do Customer Implementation & Success Deploy and configure our AI account management platform for enterprise clients Work onsite or remotely with customer teams to ensure successful integration Customize workflows, data pipelines, and AI models to match client requirements Troubleshoot technical issues and provide rapid resolution during implementation phases ...

responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires.AI Transparency Statement:Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly for administrative efficiency. All hiring decisions, including application reviews ...

Zaizi to hire for this role. We are seeking a Senior Machine Learning Engineer to lead the design, quantization, and deployment of edge-native AI models and knowledge analytics engines. In this role, you will transition state-of-the-art Small Language Models (SLMs) and knowledge graph pipelines into … gapped, degraded, and bandwidth-constrained tactical hardware. You will ensure all deployed AI capabilities comply with UK Defence standards for Dependable AI (JSP 936) , delivering deterministic, explainable, and human-in-the-loop decision-support tools for intelligence and operational users. Requirements Edge Model Optimization & Deployment: Quantize, fine-tune, and optimize ...

environment and risk profile.• Share actionable insights with relevant teams.• Improve security posture using trends and intelligence.• Gather and utilize intelligence for Shadow AI use-cases.Cross-Functional Delivery• Partner with Engineering and Platform teams on security requirements.• Manage security work in Jira with clear scope and ownership.• Support security projects … practices (testing, logging, secrets management, errorhandling).• Use version control and peer review for automation and detection content.• Monitor and improve automation reliability.• Explore AI/automation opportunities to reduce manual effort.• Define and track operational and security metrics.Requirements• 7+ years in SOC, incident response, detection engineering, or security engineering. ...

Discovery, Integrity, and Partnership - shape how we work, how we collaborate, and how we earn trust with our customers and each other. We embrace AI as an enabler, guided by rigorous governance and risk management, to enhance what has always defined us: the intelligence of our people, deep relationships … tooling and reinforcing values-led behaviours. Drive consistency/scalability by codifying standard work and promoting disciplined adoption to strengthen trusted, repeatable insights. Strengthen AI-enabled productivity by creating reusable assets and proposing lightweight automations that free capacity for human analysis and relationship work. Foster continuous improvement by proposing enhancements ...

business intelligence engineering, analytics engineering, data engineering, or a similar code-first data role Strong Python and SQL skills, and hands-on experience using AI tools (LLMs, agentic workflows, AI-assisted development) to accelerate your own engineering work Hands-on experience building in a BI platform such as Looker (LookML ...

strong creative that meets the constraints of a brief.Build, playtest, and iterate on interactive proofs-of-concept, leveraging both traditional game engines and generative AI systems.Work closely with a cross-functional team of researchers, engineers, and designers to find creative solutions and achieve project goals.Lead design workshops and brainstorming sessions … uncover novel applications for AI across a various range of genres, from sandbox simulation to emergent narratives.Translate high-level AI capabilities into elegant game mechanics, intuitive player loops, and compelling interactive systems.Minimum qualifications:Bachelor’s degree or equivalent practical experience.5 years of experience in game design, including one or more ...

build a culture of automation, efficiency, and continuous improvement, empowering teams to deliver secure, high-quality software with confidence. Current major projects include delivering AI Gateway and supporting LangChain/LangGraph infrastructure for Elliptic's AI products, managing disaster recovery (DR) infrastructure, and administering Kubernetes clusters across multi-region … from one another. This is a hands‐on team Lead role where you will balance technical expertise with team leadership. Elliptic is building an AI fluent workforce. Across our Product, Engineering, Design and Intelligence we’re going beyond giving everyone the tools. We’re setting new standards. Using AI ...

build a culture of automation, efficiency, and continuous improvement, empowering teams to deliver secure, high-quality software with confidence. Current major projects include delivering AI Gateway and supporting LangChain/LangGraph infrastructure for Elliptic's AI products, managing disaster recovery (DR) infrastructure, and administering Kubernetes clusters across multi-region … learning from one another. This is a hands-on team Lead role where you will balance technical expertise with team leadership.Elliptic is building an AI fluent workforce. Across our Product, Engineering, Design and Intelligence we’re going beyond giving everyone the tools. We’re setting new standards. Using AI ...

leverage document processing and ML to realise new automation opportunities for the organisation. SKILLS/EXPERIENCE OF THE PYTHON ENGINEER Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation Machine Learning & AI Libraries including: Transformers/Hugging Face for working with pre-trained LLMs, finetuning … role-based access and credential management Experience with CDK for infrastructure deployment SQS for message queuing EKS/ECS/Kubernetes for containerized AI deployments API Development: FastAPI for building REST APIs and model serving endpoints Requests library for HTTP client operations and external API integration Authentication/authorization implementation ...

write production code, contribute to the delivery pipeline, and ship the features that close gaps in Ditto Protect, working at high velocity with AI as your primary development accelerator. You’ll build our in‐house shields and hardening tooling on top of a licensed RASP core — defeating rooting and jailbreaking … prospects and their security teams. Translate product gaps and requirements into epics and user stories in Jira that the team can build. Use AI coding tools to design, prototype, build, test and document at high speed. Own the capabilities you build throughout their lifecycle, including security research, vendor upgrades ...

design, ruleset development and coverage assessment Log source mapping and normalisation to support detection use cases Network Detection and Response technologies such as Vectra AI, Corelight or similar Cloud security and telemetry, particularly within Azure environments Threat intelligence integration and enrichment to support detection and response Development of customer playbooks … response workflows aligned to SOC operations General awareness of emerging technologies, including AI-driven security tooling and their application within detection and response Job Specifics: Location: This is a hybrid role, primarily remote but with a requirement of ad-hoc travel to customer sites and attend the Basingstoke office ...

today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.YOUR ROLEAs an AI Platform & Site Reliability Engineering Managing Consultant, you will help clients design, build and scale secure, reliable and operationally effective AI platforms. You will combine expertise … platform engineering, Site Reliability Engineering (SRE), observability and intelligent operations to help organisations move from isolated AI experimentation to production-grade, enterprise-scale AI services.You will work with technology, engineering, operations and business leaders to establish the platforms, operating models, governance and reliability practices required to run AI-enabled services ...

integrated, enterprise-grade solutions that unite strategy, data, and technology and foster a culture of excellence and innovation. Translate major technologies transforming life sciences—AI/ML, digital health, RWE platforms, data interoperability, next‐gen commercial architectures—into meaningful strategic implications for clients. Client Partnership, Trust & Growth … interesting, you're going to like IQVIA. If you like an organization that has a variety of opportunities, from IT to big data to AI to finance to HR, there are so many opportunities to have an impact." "The culture in IQVIA is to be constantly looking ...

case design, ruleset development and coverage assessmentLog source mapping and normalisation to support detection use casesNetwork Detection and Response technologies such as Vectra AI, Corelight or similarCloud security and telemetry, particularly within Azure environmentsThreat intelligence integration and enrichment to support detection and responseDevelopment of customer playbooks and response workflows aligned … operationsGeneral awareness of emerging technologies, including AI-driven security tooling and their application within detection and responseJob Specifics:Location: This is a hybrid role, primarily remote but with a requirement of ad-hoc travel to customer sites and attend the Basingstoke office as required to support delivery, workshops and engagements.Hours ...

major part of a rock-star team in a rapidly growing startup, collaborate with industry leaders, and make a real impact in the AI-for-legal landscape? Do you want to have ownership in a startup building something people want with significant traction? This is your chance to join … work with Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention ...

Lead reporting and financial BI, ensuring key stakeholders receive pertinent, timely and accurate reports Build and develop an automation-first commercial finance function, deploying AI for variance commentary, business-case interrogation and scenario modelling Run and maintain the BI tech stack Build a robust data pipeline with documented ETLs, processes ...

major player in the UK utilities sector, a critical initiative reshaping how the organisation monitors, manages and optimises its infrastructure through advanced data, AI and digital innovation capabilities. Key Responsibilities: Own end-to-end delivery of Asset Intelligence initiatives, including digital twins, asset monitoring, network optimisation, and predictive analytics pilots … cadences to accelerate development and support iterative release Facilitate testing and validation of new technologies, including computer vision, ML analytics, IoT/telemetry, and AI-based decision support Manage timelines, budgets, and resources using Agile frameworks (Scrum, Kanban), including sprint planning, stand-ups, reviews, and retrospectives Act as key point ...