51 to 75 of 179 Intelligent Automation Jobs in London

experience across Generative AI, Large Language Models (LLMs), RAG, GitHub Copilot and Agentic AI. You will be building real-world AI applications, intelligent assistants, copilots and automation solutions while helping engineering teams adopt the latest AI development technologies. What You'll Be Doing Design, build … deploy Generative AI and LLM-powered applications Develop AI assistants, copilots and intelligent automation solutions Build Retrieval-Augmented Generation (RAG) applications Work with vector databases and enterprise knowledge sources Integrate LLM and AI services through APIs and cloud architectures Develop and optimise prompts for enterprise ...

production and disaster recovery environments. In this role, you will define and govern production management standards across change, incident, capacity, and automation disciplines — driving operational consistency and minimising disruption to our UK customers. Working within a you-build-it-you-run-it engineering culture, you will not replace … build-it-you-run-it model. Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated ...

powered channels Data-driven transformation across service to reduce cost and drive growth Designing future-ready service models, enabled by platforms, data and automation Embedding GenAI, intelligent automation and decisioning into customer service journeys and operations Supporting clients to define a customer-first mindset ...

forefront of enterprise AI. You’ll work with major organisati ons to move beyond experimentation, helping them embed Generative AI, Agentic AI, intelligent assistants and AI-enabled automation into the way they operate, make decisions and create value.You’ll combine strategic thinking, consulting expertise and deep … into clear business outcomes, measurable value and adoption strategies.Design human-centred AI solutions, translating business challenges into AI-enabled products, agentic workflows and intelligent services, while integrating people, AI agents and business processes across customer, employee and operational experiences.Shape enterprise AI and data foundations, including AI-ready data ...

forefront of enterprise AI. You'll work with major organisati ons to move beyond experimentation, helping them embed Generative AI, Agentic AI, intelligent assistants and AI-enabled automation into the way they operate, make decisions and create value. You'll combine strategic thinking, consulting expertise … clear business outcomes, measurable value and adoption strategies. Design human-centred AI solutions, translating business challenges into AI-enabled products, agentic workflows and intelligent services, while integrating people, AI agents and business processes across customer, employee and operational experiences. Shape enterprise AI and data foundations, including AI-ready ...

deploy next-generation Agentic AI and Generative AI solutions for a large-scale financial services client. This role will focus on developing intelligent, context-aware applications that leverage Large Language Models (LLMs), AI agents and orchestration frameworks to deliver enhanced automation, decision-making and user experiences.Working … pipelines to improve application accuracy, relevance and contextual awareness. Create advanced prompt engineering strategies and integrate Model Context Protocol (MCP) capabilities. Develop intelligent workflow solutions including context-aware and ambient intelligence applications. Integrate and process data from multiple internal and external sources. Design and implement event-detection algorithms ...

deploy next-generation Agentic AI and Generative AI solutions for a large-scale financial services client. This role will focus on developing intelligent, context-aware applications that leverage Large Language Models (LLMs), AI agents and orchestration frameworks to deliver enhanced automation, decision-making and user experiences.Working … pipelines to improve application accuracy, relevance and contextual awareness. Create advanced prompt engineering strategies and integrate Model Context Protocol (MCP) capabilities. Develop intelligent workflow solutions including context-aware and ambient intelligence applications. Integrate and process data from multiple internal and external sources. Design and implement event-detection algorithms ...

production and disaster recovery environments. In this role, you will define and govern production management standards across change, incident, capacity, and automation disciplines — driving operational consistency and minimising disruption to our UK customers. Working within a you‐build‐it‐you‐run‐it engineering culture, you will not replace … build‐it‐you‐run‐it model. Partner with Engineering, Product, and Operations leaders to embed production management disciplines — change, incident, capacity, and automation — into team ways of working, ensuring operational excellence is a shared responsibility rather than a centralised function. Foster a mature run‐the‐bank culture ...

solutions for Production Services. This role is ideal for a strong full-stack engineer who combines application development, UI engineering, backend services, infrastructure automation, and production reliability expertise.The successful candidate will build reusable platforms, internal tools, and automation capabilities that improve operational efficiency, reduce manual effort … that improve operational efficiency, reduce toil, and enhance resiliency across Production Services.Build full-stack applications and internal engineering tools, including backend services, APIs, automation layers, and user-facing interfaces using technologies such as Python, Java, React, or Angular.Engineer scalable solutions that support central operational use cases such ...

production and disaster recovery environments. In this role, you will define and govern production management standards across change, incident, capacity, and automation disciplines — driving operational consistency and minimising disruption to our UK customers. Working within a you-build-it-you-run-it engineering culture, you will not replace … build-it-you-run-it model. Partner with Engineering, Product, and Operations leaders to embed production management disciplines — change, incident, capacity, and automation — into team ways of working, ensuring operational excellence is a shared responsibility rather than a centralised function. Foster a mature run-the-bank culture ...

solutions for Production Services. This role is ideal for a strong full-stack engineer who combines application development, UI engineering, backend services, infrastructure automation, and production reliability expertise. The successful candidate will build reusable platforms, internal tools, and automation capabilities that improve operational efficiency, reduce manual … improve operational efficiency, reduce toil, and enhance resiliency across Production Services. Build full-stack applications and internal engineering tools, including backend services, APIs, automation layers, and user-facing interfaces using technologies such as Python, Java, React, or Angular. Engineer scalable solutions that support central operational use cases such ...

solutions for Production Services. This role is ideal for a strong full-stack engineer who combines application development, UI engineering, backend services, infrastructure automation, and production reliability expertise. The successful candidate will build reusable platforms, internal tools, and automation capabilities that improve operational efficiency, reduce manual … improve operational efficiency, reduce toil, and enhance resiliency across Production Services. Build full-stack applications and internal engineering tools, including backend services, APIs, automation layers, and user-facing interfaces using technologies such as Python, Java, React, or Angular. Engineer scalable solutions that support central operational use cases such ...

production and disaster recovery environments. In this role, you will define and govern production management standards across change, incident, capacity, and automation disciplines - driving operational consistency and minimising disruption to our UK customers. Working within a you-build-it-you-run-it engineering culture, you will not replace … build-it-you-run-it model. Partner with Engineering, Product, and Operations leaders to embed production management disciplines - change, incident, capacity, and automation - into team ways of working, ensuring operational excellence is a shared responsibility rather than a centralised function. Foster a mature run-the-bank culture ...

production and disaster recovery environments. In this role, you will define and govern production management standards across change, incident, capacity, and automation disciplines - driving operational consistency and minimising disruption to our UK customers. Working within a you-build-it-you-run-it engineering culture, you will not replace … build-it-you-run-it model. Partner with Engineering, Product, and Operations leaders to embed production management disciplines - change, incident, capacity, and automation - into team ways of working, ensuring operational excellence is a shared responsibility rather than a centralised function. Foster a mature run-the-bank culture ...

increasingly play a critical role in enabling AI, and generative AI capabilities at enterprise scale. In this area, we combine architecture, engineering, automation, and emerging technology expertise to help make our customers’ transformation needs a reality.What you'll be doing:The Google Cloud Platform Technical Architect … your day-to-day work. You will also help clients understand how cloud platforms can support AI adoption, including generative AI, machine learning, intelligent automation, AI-assisted operations, and responsible AI practices.The Cloud Architect is a subject matter expert in one or more categories that ...

your day‐to‐day work. You will also help clients understand how cloud platforms can support AI adoption, including generative AI, machine learning, intelligent automation, AI‐assisted operations, and responsible AI practices. The Cloud Architect is a subject matter expert in one or more categories that … include strategy and transformation, cloud-native solutions, migration and modernization, cloud foundations and infrastructure, FinOps, cloud DevOps, automation, security, data platforms, application modernisation, AI‐ready platforms, and generative AI solution architecture. This is an excellent opportunity for an experienced Cloud Architect with demonstrable skills in designing new cloud ...

Actions, Jenkins), Terraform, containerization (Docker/Kubernetes)Orchestration - : Airflow, Step Functions, BPM toolsObservability (desirable): GrafanaAI (desirable): AI/ML or GenAI adoption for automation and operational efficiencyExperience & SkillsProven experience as a Solutions Architect/Senior Technical Lead in complex enterprise environments.Strong track record working with legacy systems … secure systems.Strong understanding of risk management, controls, and regulatory environments.Experience operating in matrix organizations with multiple stakeholders.Experience with AI/ML or intelligent automation use casesWhat We’re Looking ForHands-on mindset – willing to dive into technical detail when neededAbility to balance ideal architecture with real ...

Extraction team is looking for a Senior Data Management Professional who combines strong technical and problem-solving skills with a passion for data, automation, and innovation. We are seeking a proactive self-starter who can drive workflow transformation initiatives and help shape the future of our data extraction … processing capabilities.As part of the team, you will apply your analytical and technical expertise to improve automation, scalability, and operational efficiency across our data pipelines and human-in-the-loop workflows. This includes performing data analysis, designing prototype applications, and collaborating closely with Product and Engineering teams ...

point for major delivery issues, guiding resolution, and maintaining client confidence. Growth & value realisation Translate technical delivery into business outcomes: e.g., revenue uplift, process automation savings, faster time-to-insight, improved customer experience, better decision-making through data. Use metrics to track value delivered. Develop and present value … roadmap presentations to client leadership. Identify new product/service offerings that match the client's next-phase needs (for example: AI accelerators, intelligent automation, data platform builds, analytics and ML products, application modernisation) and help position them. Lead internal lessons-learned and continuous improvement: capture ...

primary language, following clean code, TDD, and spec‐driven development principles. Drive adoption of AI‐assisted development capabilities (e.g., Copilot‐style tools, intelligent automation) to improve developer productivity and code quality. Influence and review application and solution architecture for scalability, security, performance, and maintainability. Partner with … continuously improve DevOps pipelines, CI/CD practices, and infrastructure automation. Enable resilient, observable, and cost‐efficient systems in the cloud. Quality, DevOps & Automation Champion Test‐Driven Development (TDD) and automated testing at all levels (unit, integration, system). Enable and evolve test automation frameworks ...

Data & AI transformation. You'll work with major organisations to design and deliver next-generation data platforms that enable AI, advanced analytics and intelligent automation, while developing your own expertise in one of the fastest-growing areas of technology consulting.If you're passionate about cloud architecture … align with business objectives and deliver measurable value.Automating infrastructure, deployments and data pipelines using Infrastructure-as-Code, DevOps, CI/CD and cloud automation tools including Terraform, ARM Templates and CloudFormation.Advising clients on enterprise data strategy, architecture roadmaps and platform design, engaging senior stakeholders and translating complex technical ...

Software Engineering, or a related field Responsibilities As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting-edge AI capabilities into real-world production environments. Working at the intersection of software engineering … machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform innovative ideas into reliable, secure, and impactful products. Design ...

Software Engineering, or a related field Responsibilities As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting-edge AI capabilities into real-world production environments. Working at the intersection of software engineering … machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform innovative ideas into reliable, secure, and impactful products. Design ...

Native DevOps/Platform Engineer who combines strong cloud infrastructure and platform engineering expertise with hands‐on experience delivering AI‐enabled platforms, automation, and engineering solutions. You will design, automate, secure, and operate the Azure platforms that power our products, whilst developing cloud‐native solutions using AI‐first … engineering practices. Working closely with Product Engineering Teams and Technical Leadership, you will build the cloud platforms, infrastructure, deployment pipelines, automation, observability frameworks, and engineering tooling that enable the rapid delivery of both AI‐powered and traditional cloud‐native applications. We are building an AI‐native engineering capability ...

Engineer- Copilot, Azure, Python, AI Innovation, Automation, London University Large London University with a reputation for excellence and innovation, urgently require a talented and dynamic AI Engineer to help lead their AI Automation & digital innovation transformation You will be: Designing, building and maintaining AI-powered applications … intelligent automation solutions. Developing AI assistants, copilots and workflow automations using Microsoft Copilot Studio, Azure AI and the Microsoft Power Platform. Integrating AI services with existing enterprise applications including Microsoft 365, Dynamics and other University systems. Building secure AI solutions using Retrieval Augmented Generation (RAG), prompt ...