51 to 75 of 249 AI Jobs in the City of London

designing, documenting, and delivering complex digital solutions. Undertake development of customising Dataverse, canvas apps, API integration's with 3rd party systems. Any experience with AI, automation and digital service design principles Work closely with the wider team such as BA's, PM's and engineers to ensure the products meet ...

delivery. Collaborate widely: partner with Product, Data, and Infrastructure teams to ensure alignment between technology capability and commercial goals. Drive innovation: pilot emerging technologies (AI, automation, data services) that improve efficiency and insight. Your Technical Toolkit Frontend HTML5, CSS3, JavaScript (ES6+), TypeScript React.js (preferred), Angular, or Vue.js Responsive design (Bootstrap ...

large and small has its own unique needs and goals. We offer local-to-global data center expertise, aligned with our connected platform of AI-ready data centers to create solutions that enable our clients to seamlessly scale their digital businesses, anywhere and anytime. NTT Global Data Centers is proud ...

help us anticipate the future. About the Team : You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity ...

Principal AI Engineer AI Platform Team Location: Remote UK Compensation: £110 - 125k GBP Join a New AI Engineering Team A major digital organisation is launching a brand-new AI Engineering function to drive the enablement, adoption and scaling of Generative AI across the entire business click apply for full ...

Role: Staff AI Engineer - GenAI (Dubai based) Join a high-performing Data Science & MLE team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior … technical leader, you’ll help define the future of personalization and user engagement using Generative AI and advanced machine learning. Key Responsibilities Lead end-to-end AI transformation focused on personalization in a consumer-facing application. Define and execute a long-term vision for customer acquisition and engagement strategies powered ...

AI Cloud Consultant (Contract) Rate: £800 per day Duration: 6 months (initial discovery phase, potential extension for implementation) Location: London (Hybrid) Overview We are seeking an experienced AI Cloud Consultant to lead the discovery and analysis phase of an AI-driven project within a large, regulated financial services environment. … current capabilities, advising on governance and controls, and producing a strategic recommendations paper to guide implementation. Key Responsibilities Conduct discovery and analysis of current AI and cloud architecture, including upcoming deployment of Tines (AI-enabled product). Evaluate AWS Bedrock capabilities and potential integration within the organisation. Deliver a recommendations ...

technologies and projects within fast-paced environments in capital markets. Ideal for professionals seeking impactful work and career progression. We are looking for strong AI Engineers with front-office experience working for investment banks, hedge funds and fintech’s. Position Details Location: UK-based (Typically London & Glasgow) Right To Work … month rolling contracts Work Model: Hybrid and fully remote options available Start Date: Immediate and throughout 2026 Key Responsibilities Design, develop, and deploy AI/GenAI solutions for trading, risk management, and analytics within capital markets. Collaborate with front-office teams to integrate AI-driven models into production systems. Work ...

Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities * End-to-end development of AI/ML solutions. * MLOps practices: CI/CD, model monitoring, retraining. * Use of open … source and enterprise tools (LangChain, Azure OpenAI, Databricks). * Generative AI features: embeddings, RAG, AI agents. * Clean, testable code with modern engineering practices. * Align with enterprise architecture and governance. * Collaborate with architects and stakeholders. * Lifecycle management of models. * Pilot emerging technologies. Experience & Skills * 2-4 years in production-level AI ...

Enterprise Architect - Outside IR35 - Hybrid Role Purpose Provide enterprise-wide architectural leadership across business, digital, data, integration, and AI domains. Define target architecture, guide transformation, and ensure technology investments deliver measurable business outcomes while remaining secure, scalable, and compliant. Key Responsibilities Enterprise Architecture Define and maintain enterprise architecture vision, principles … secure, observable services. Architecture Governance Establish enterprise architecture standards, patterns, and reference architectures. Review solution designs for compliance with architecture, security, data, and ethical AI policies. Govern technology and platform lifecycles. Portfolio & Transformation Support investment and portfolio planning with enterprise architecture insight. Identify opportunities for application, integration, platform, and data ...

platform is scalable, secure, reliable, and enterprise-ready. Key Responsibilities Own the full platform architecture, including ingestion, scoring, data stores, APIs, and dashboards. Lead AI/ML-powered enrichment and scoring systems. Build and scale microservices, event-driven pipelines, and automated intelligence workflows. Harden cloud infrastructure and implement security, compliance ...

acquisitive business made up of a network of highly specialised companies, which support leading industrial groups in defining and developing business models using Artificial Intelligence; Big Data; Cloud Computing; Digital Communication and Social Networking. Your new role Due to the growth of the business, my client is looking to hire ...

range of programming languages with exposure across the full tech stack? You could be progressing your career working on bleeding edge, Machine Learning and AI powered, audio fraud detection software used by all UK banks, the emergency services and a range of other clients to prevent a click apply ...

with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Full Stack Engineer or Senior Backend Engineer or making the step up from 'mid' They offer ...

aviation domain specialists to enhance FMS capabilities Perform code reviews, debugging, unit testing, and performance tuning Support the evolution of cloud-enabled and AI-driven features within the FMS ecosystem Required Skills Strong proficiency in C++ (C++11/14/17). Experience in multithreading, memory management, and performance optimization. ...

seeking a Senior Deep Learning Engineer to build the future of Embodied AI . This is a role for those who work 'in the weeds' of model architecture and training loops not API wrappers or prompt engineers. The Mission Architect Behavior: Own the development of motor policies using Behavior Cloning ...

commercial experience working with C software development in an IoT, hardware or embedded solutions environment , who is interested in a data-driven AI-first journey. Responsibilities: Design, implement, and test firmware for embedded systems across diverse market applications. Enhance codebase architecture to support scalability, maintainability, and future development. Maintain ...

Science, Engineering, or related discipline Desirable Backend experience in Java or C# Experience working in electronic FX, market making, or algo trading Familiarity with AI-assisted development tools while maintaining engineering standards Strong attention to detail and product mindset Why Apply? Front-office role with direct exposure to FX trading ...

OpenSearch) Build robust, scalable ingestion pipelines for clinical and scientific data sourcesx` Shape and evolve data models spanning structured data, unstructured text, embeddings, and AI-driven systems What we're looking for Around 5+ years of back-end engineering experience , with at least 3 years in a commercial environment Strong ...

microstructure , order management, or regulatory flows Bonus experience: Spring Boot, Gradle, Solace, FIX, concurrent programming, JVM tuning, React/Vue Ability to utilise AI coding assistants effectively while maintaining code quality Strong communicator with the ability to influence technical and business stakeholders Degree in Computer Science, Engineering, Maths ...

microstructure , order management, or regulatory flows Bonus experience: Spring Boot, Gradle, Solace, FIX, concurrent programming, JVM tuning, React/Vue Ability to utilise AI coding assistants effectively while maintaining code quality Strong communicator with the ability to influence technical and business stakeholders Degree in Computer Science, Engineering, Maths ...

Track record of building platforms that operate reliably under heavy load Nice to have: Experience with TypeScript/Node.js in complex systems Exposure to AI-driven platforms, document processing, or workflow engines Experience in regulated or high-reliability environments Cloud-native architectures and containerised deployments What's On Offer Competitive ...

Location: On-site, London (factory-based) Salary: Up to £170,000 base + meaningful equity Industry: Advanced Manufacturing/Defence/Aerospace/Industrial AI The Company: They are a very early-stage, software-first manufacturing company building a new industrial backbone for the West. They are creating a network ...

develop operational models that enable rather than restrict. Work with design leadership to evolve service design methods , improve design operations, and drive adoption of AI-enhanced tools to improve service quality and efficiency. Define end-to-end strategies, experience principles, frameworks, customer journeys and CX KPIs that connect digital, assisted ...

develop operational models that enable rather than restrict. Work with design leadership to evolve service design methods , improve design operations, and drive adoption of AI-enhanced tools to improve service quality and efficiency. Define end-to-end strategies, experience principles, frameworks, customer journeys and CX KPIs that connect digital, assisted ...