476 to 500 of 872 AI Jobs in London

into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with … right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative ...

quality, testing, and collaborating in an Agile environment. Fluency with GitHub workflows and pull-request-based collaboration is essential. Our teams are increasingly adopting AI-assisted development workflows, and we are particularly interested in engineers who are excited about using AI tools to help design, write, evaluate, and improve software. … detailed specifications for the development of system components of moderate complexity. Ability to complete moderately complex bug fixes. Good to Have Experience using AI-assisted development tools, such as Claude, GitHub Copilot, or Codex, for test authoring, stub generation, coverage analysis, or test-output investigation. Experience treating AI-assisted tools ...

mission is to help the innovation community make better decisions faster, with greater confidence, combining the worlds most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is our clients next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces … trusted data and established metrics. About the role: We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs ...

Policies, UI Actions, access controls, notifications, forms and catalog items. Improve business processes through workflow automation, self-service and enhanced user experience. Implement ServiceNow AI capabilities, including Now Assist and AI Agents. Design and support enterprise integrations and custom scoped applications. Ensure solutions are secure, scalable, maintainable, performant and upgradeable … developing custom scoped applications and workflows across areas such as ITSM, CMDB, Security Operations, Workplace Service Delivery, Contract Management and Discovery. Experience with ServiceNow AI capabilities, or strong knowledge of Now Assist, AI Agents and AI Agent Studio. Experience working independently within Agile/Scrum environments and engaging both technical ...

will be happy to help. Further information At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential … that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming ...

across existing and prospective clients, the role combines deep ADM expertise with consulting, commercial, and stakeholder management capabilities to develop differentiated solutions underpinned by AI, Data, Agile, Product-Centric Delivery, Cloud, Automation and Managed Services innovation. The Senior Solution Director acts as a trusted advisor to senior client stakeholders … expand ADM Managed Services capabilities. Solution Leadership: Lead the design of complex Managed Service solutions across application development, maintenance, transformation, modernisation, cloud, automation, AI, and service operations. Create differentiated, commercially competitive propositions aligned to client priorities leveraging emerging technologies including Agentic and GenAI. Balance client value, delivery feasibility, commercial objectives ...

capabilities into clear commercial value Hands-on familiarity with application programming interfaces, cloud data platforms such as Databricks and Snowflake, and generative or agentic artificial intelligence architectures Experience building partner ecosystems and co-sell motions with consultancies, systems integrators, and technology or cloud partners Excellent executive communication and stakeholder-management … skills, with the confidence to lead client workshops, external speaking engagements, and thought leadership; regular regional travel is required Demonstrated expertise in applying artificial intelligence to strategic transformation and workflow efficiency, with a commitment to responsible use, risk management, and ethical governance Experience with entity resolution, data quality programmes, lending ...

design multi-tenant data and workflow services in Python and FastAPI and own the integration layer between a Java/Spring core and Python AI services. This is one of nine engineering hires across front-end and back-end. THE ROLE Investment professionals need APIs and workflows that respect permissions … keep an audit trail and fail safely when an AI result can't be trusted. You'll build the services behind that. Report to the Head of Engineering as part of the UK core team. Build multi-tenant data and workflow services, plus the integration layer between the Java/ ...

sufficiency. Champion data-driven ways of working, helping clients improve data literacy, confidence and adoption across their organisations. Identify opportunities to leverage advanced analytics, AI and automation to support innovation and deliver measurable business value. 4. Architecture Leadership & Client Collaboration Act as a trusted adviser to senior client stakeholders, providing … technology consultancy or client-facing professional services environment. Experience shaping or overseeing Microsoft Fabric-based data and analytics architectures. Understanding of advanced analytics, artificial intelligence and machine learning and their strategic business applications. Knowledge of Microsoft Dynamics 365, Dataverse and other enterprise business applications. Familiarity with data product thinking ...

sufficiency. Champion data-driven ways of working, helping clients improve data literacy, confidence and adoption across their organisations. Identify opportunities to leverage advanced analytics, AI and automation to support innovation and deliver measurable business value. 4. Architecture Leadership & Client Collaboration Act as a trusted adviser to senior client stakeholders, providing … technology consultancy or client-facing professional services environment. Experience shaping or overseeing Microsoft Fabric-based data and analytics architectures. Understanding of advanced analytics, artificial intelligence and machine learning and their strategic business applications. Knowledge of Microsoft Dynamics 365, Dataverse and other enterprise business applications. Familiarity with data product thinking ...

identify comprehensive service level indicators and the stakeholder partners to establish reasonable service level objectives and error budgets with your customers Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity … high level of technical expertise within one or more technical domains and provides advice and mentorship to other engineers Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability ...

identify comprehensive service level indicators and the stakeholder partners to establish reasonable service level objectives and error budgets with your customers Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity … high level of technical expertise within one or more technical domains and provides advice and mentorship to other engineers Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability ...

identify comprehensive service level indicators and the stakeholder partners to establish reasonable service level objectives and error budgets with your customers Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity … high level of technical expertise within one or more technical domains and provides advice and mentorship to other engineers Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability ...

into some of the largest industrial businesses in the world. About the Client Morela is proud to be supporting a fast-growing, venture-backed AI company that builds a strategy and operations platform for large industrial enterprises. Founded by former executives who ran a $1bn division at a Fortune … industrial business, they bring an organisation's scattered finance, supply chain and commercial data into one place, then layer AI on top so leadership can make decisions on real numbers. They already work with a growing roster of major enterprise customers across several industrial verticals, and have significant open headcount ...

into some of the largest industrial businesses in the world. About the Client Morela is proud to be supporting a fast-growing, venture-backed AI company that builds a strategy and operations platform for large industrial enterprises. Founded by former executives who ran a $1bn division at a Fortune … industrial business, they bring an organisation’s scattered finance, supply chain and commercial data into one place, then layer AI on top so leadership can make decisions on real numbers. They already work with a growing roster of major enterprise customers across several industrial verticals, and have significant open headcount ...

Advanced Python and SQL skills with experience building production-ready models Expertise across forecasting, predictive modelling, customer segmentation, and classification techniques Experience working with AI-assisted development tools such as GitHub Copilot, Claude, Codex, or similar to improve productivity and code quality Understanding of LLM applications, prompt engineering, and practical … AI use cases within analytics workflows Excellent stakeholder management skills with the ability to translate technical outputs into clear business recommendations How to Apply If you're interested in this Senior Data Scientist opportunity, please apply with your CV for immediate consideration. ...

invoicing, and portfolio management. This role will be responsible for creating trusted reporting solutions, developing executive-level dashboards, and driving reporting automation through modern AI and analytics tools. Key Responsibilities Design and maintain Salesforce reporting solutions across the full sales lifecycle, from prospecting through termination. Build Director and VP-level … dashboards providing actionable insights into sales portfolio performance. Develop forecasting models, incentive spend analysis, and financial reporting. Create automated reporting processes using AI tools such as Microsoft Copilot, Claude, or Python-based automation. Partner with global stakeholders across Sales, Product, Marketing, and Operations teams. Maintain reporting accuracy and support audit ...

simpler analytical or process solution is more appropriate. Personally build working proofs of concept using tools such as SQL, Python, Databricks, Power BI, AI tooling, and appropriate low-code platforms. Explore and profile data to understand quality, coverage, structure, limitations, and suitability for the intended use case. Use prototypes … them into practical, evidence-based solutions. Hands-on ability to interrogate data and build working prototypes using several of SQL, Python, Databricks, Power BI, AI tooling, or low-code tools. Commercial insurance, insurance broking, specialty insurance, claims, placement, portfolio analytics, or underwriting experience. Experience with data mesh, domain-oriented data ...

their technical counterpart, sharing ownership of build quality and pushing our engineering standards forward. You will automate the manual, integrate the disconnected, and use AI to work smarter. If you enjoy solving real problems for real people and take pride in solutions that last, this is a chance to make … troubleshooting skills, and the drive to fix things properly. Clear communication skills with both technical and non-technical audiences. A genuine interest in AI and using it to work more efficiently; for example, accelerating user story creation, test case generation, documentation and analysis. Preferred experience Power Apps (canvas and model ...

will also optimise data processing frameworks and support the full software development lifecycle, including production monitoring and troubleshooting. Leveraging modern data engineering technologies and AI-enabled workflows to improve automation and control frameworks is expected. The ideal candidate will hold a bachelor's degree in Computer Science, Engineering … financial controls, or highly regulated environments, as well as knowledge of financial markets and trading systems. Familiarity with cloud platforms, modern data engineering technologies, AI-enabled workflows, and large-scale financial datasets will be advantageous. Please click here to find out more about our Key Information Documents. Please note that ...

across a European platform • Integrating with payment providers, credit bureaus, KYC/AML services and funding partners • Helping shape engineering standards, best practice and AI-assisted development • Mentoring colleagues and raising the bar across the engineering team What we offer • Up to £85,000 salary • 15% annual bonus … PostgreSQL expertise and AWS experience. • Experience working within complex or regulated environments. • A collaborative approach with strong technical problem-solving skills. • Experience in using AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor or similar. Diversity & Inclusion At HomeServe, we're committed to creating a workplace where everyone ...

controlled experiments are not practical. Shape the automation strategy Determine the right intervention for different customer problems whether they should be automated, augmented by AI, handled by people or prevented altogether. Test and evaluate interventions to understand their impact on customer outcomes, operational effectiveness and cost. Shape the long-term … working on customer-facing products, ideally in customer support, customer operations or another high-volume service environment. Experience evaluating the impact of automation or AI-powered customer experiences. Experience applying predictive or behavioural modelling to support product or operational decision-making. Experience working with sensitive customer data in environments with ...

deployment Promote a security-first culture within development teams, including awareness and best practices Maintain awareness of emerging risks and technologies, including basic AI/LLM-related application risks, and support translation into practical controls where required Produce and maintain architecture artefacts, standards and guidance documentation What we're looking … pipeline integrations Familiarity with cloud-native application security (Azure/GCP environments) Exposure to API security controls and testing approaches Basic understanding of AI/LLM application risks, such as prompt injection or data exposure Experience working within regulated environments (telecommunications, financial services, critical infrastructure) Understanding of Telecoms Security ...

deployment Promote a security-first culture within development teams, including awareness and best practices Maintain awareness of emerging risks and technologies, including basic AI/LLM-related application risks, and support translation into practical controls where required Produce and maintain architecture artefacts, standards and guidance documentation What we're looking … pipeline integrations Familiarity with cloud-native application security (Azure/GCP environments) Exposure to API security controls and testing approaches Basic understanding of AI/LLM application risks, such as prompt injection or data exposure Experience working within regulated environments (telecommunications, financial services, critical infrastructure) Understanding of Telecoms Security ...

multi-quarter project. Review tooling platform — the review surface on which Global (and regional teams) build their review flows; the foundation that makes AI-assisted review and review automation measurable and safe to roll out. Unified Vendor Integrations — one observable, retryable, swappable gateway for registry, adverse media, website signal, Acceptable … customer's risk profile shifts. How do we re-decide retroactively across millions of customers without stampeding downstream systems or ops queues? ML/AI in the loop — safely. Where does automation genuinely help (document classification, risk scoring, agent copilots), where does it not, and how do we ship ...