26 to 50 of 101 Vertex AI Jobs in London

build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped … have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it. As an AI Engineer (Agentic/Applied), you will design, build, and deploy production‐grade agentic AI systems across the full enterprise technology stack. ...

build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped … have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it. As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. ...

company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping … Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description Team Bio: ServiceNow’s Applied AI ...

build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped … have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it. As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. ...

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities … community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always ...

Principal AI Architect (or AI and Data Technical Architect), you will act as a senior, hands-on technical leader and trusted advisor to our customers. You will be responsible for designing, validating, and operationalizing enterprise-grade data and AI architectures centered on Salesforce D360 … GenAI, and Data architectures within platforms such as AWS (Bedrock/SageMaker), Microsoft (Azure AI Foundry/Copilot), Databricks, Google Cloud (Vertex AI), Snowflake, or Palantir. Hands-on Modern AI & Agentic Builder Experience: Direct hands-on experience building, prototyping, or solutioning with ...

# Senior Consultant - Agentic AI/Generative AILondon, Manchester, Newcastle Bank House, GlasgowApply for this job* Permanent* Experienced Professionals* Strategy & Transformation* ID 561575-en\\_GB## **CAPGEMINI INVENT**At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating … underpinned by technology created with purpose.We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks, and full-stack engineering ...

Role- Agentic AI and Commerce Architect Location- London Level- Senior Manager/Associate Director Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy … speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song As an Agentic AI & Commerce Architect, you will lead the end-to-end technical design and delivery of production-grade agentic commerce systems for global enterprise clients. You are responsible ...

roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword … work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level‐up your career at the company leading ...

Forward Deployed Engineer (FDE) focusing on Agentforce Operations , you are a hands-on Technical Builder who designs, constructs, and deploys enterprise-grade agentic AI solutions directly inside customer environments. AFO powers the multi-agent orchestration layer, transforming messy operational workflows, unstructured data (emails, PDFs, spec sheets), and legacy … logs into autonomous execution engines with humans in the loop. Operating in an agile deployment pod alongside a Deployment Strategist and Specialized AI Engineers , you will serve as the crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code ...

that capture the imagination and deliver impressive returns for our clients. Our roles and responsibilities are rapidly changing during this age of rapid AI growth, adoption, capability and market options. AI Landscape and Production AI implementation experience is essential. The Technical Lead … these additional capabilities. Technical Architecture and Engineering capability and experience is mandatory. ROLE REQUIREMENTS Client facing. Thought Leadership and promotion of AKQA Technology. AI Implementor AI Usage – proficient elevated workflow and development tooling AI Enabled Experience Development & Integration – vendor and cloud landscape knowledge, systems ...

Shape the Future of AI & Data with Us Datatonic is Google Cloud's premier AI and data partner, specializing in designing, building, and operating production AI systems. We combine software engineering, machine learning, data engineering, and analytics on Google Cloud Platform (GCP) with … bridge high-level technical leadership, hands‐on engineering execution, team leadership and consulting. You will lead, mentor, and grow a dedicated pod of AI Engineers while directly designing, deploying, and evaluating cutting‐edge AI systems. You will own end-to-end project delivery quality, account growth ...

Forward Deployed Engineer (FDE) focusing on Agentforce Operations , you are a hands-on Technical Builder who designs, constructs, and deploys enterprise-grade agentic AI solutions directly inside customer environments. AFO powers the multi-agent orchestration layer, transforming messy operational workflows, unstructured data (emails, PDFs, spec sheets), and legacy … logs into autonomous execution engines with humans in the loop. Operating in an agile deployment pod alongside a Deployment Strategist and Specialized AI Engineers , you will serve as the crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code ...

hiring a Head of Data. You'll work right across the business: with product and engineering on the data we capture, with our AI engineering team on what we build on top of it, and with Customer Success, Sales and Marketing on the data they rely on every … with the monitoring and data dictionary that let people trust what they find, and data that is clean and documented enough for our AI tools to use safely. Over time, build machine learning benchmarks from our customer data with our AI engineering team. What ...

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we’re looking … voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. #J-18808-Ljbffr ...

Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. About this Role We are seeking an experienced AI Models Lead to serve as the scientific and deep technology anchor of the AI Tower. This role is responsible for developing, fine … tuning, training, validating and governing advanced AI and machine learning models, including Large Language Models (LLMs), Small Language Models (SLMs) and predictive models. The successful candidate will lead high-value experimentation and pilot delivery, providing deep technical leadership across model engineering, data science, vendor strategy and AI ...

automated evaluations, regression testing, version control and reliable deployment processes. Work with cloud and model platforms such as Azure OpenAI, AWS Bedrock, Google Cloud Vertex AI, OpenAI and Anthropic to design and deliver enterprise-ready solutions. Partner with creative, strategy, UX and technology teams to explore … including unit, integration and regression testing, with an understanding of how to evaluate non-deterministic AI systems. Practical knowledge of cloud infrastructure and AI model ecosystems, including the operational considerations involved in deploying and scaling intelligent applications. Understanding of modern digital product development, including web applications ...

implementation of a "stateful" delivery model that moves beyond manual tuning to true network autonomy. Key Skills: Google Cloud Platform (GCP) Vertex AI & AI Agents BigQuery, Dataplex & Data Architecture OSS/BSS, 5G Core, CNF/VNF Autonomous Networks & Closed-Loop Automation Network Digital … Twins Enterprise Architecture & Technical Leadership Responsibilities: Define and drive technical strategy for autonomous network transformation. Lead the design of AI-powered, intent-based automation solutions. Deliver large-scale cloud and data platforms on GCP. Work closely with executive stakeholders, programme leaders, and engineering teams. Drive adoption of self ...

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real‐time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world … leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world‐class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some ...

Strong understanding of modern data warehouse architectures, real-time analytics, and data governance (e.g., BigQuery, Spark, Kafka). Deep technical expertise in Generative AI development (e.g., prompt engineering, model tuning, vector databases like Vertex AI Vector Search, and AI frameworks like LangChain … LlamaIndex). Active participation in the startup and AI ecosystem, with a track record of public speaking, technical writing, or community contribution. About the job As a Customer Engineer in the UK/IE Startups & Scaleups Growth team, you will lead high-impact technical engagements with rapidly scaling ...

Strong understanding of modern data warehouse architectures, real-time analytics, and data governance (e.g., BigQuery, Spark, Kafka). Deep technical expertise in Generative AI development (e.g., prompt engineering, model tuning, vector databases like Vertex AI Vector Search, and AI frameworks like LangChain … LlamaIndex). Active participation in the startup and AI ecosystem, with a track record of public speaking, technical writing, or community contribution. About the job As a Customer Engineer in the UK/IE Startups & Scaleups Growth team, you will lead high-impact technical engagements with rapidly scaling ...

Role We’re looking for a Staff AI Engineer who thrives at the intersection of software engineering, data and AI. This role is ideal for engineers who have experience building real, lovable products leveraging state‐of‐the‐art techniques and modern technologies.. You’ll own the full lifecycle … AI applications: building data pipelines, prompt & feature engineering , integrating models into high throughput, low latency services, and deploying production‐ready , AI powered features that delight our 70+ million users. What You’ll Own Build, deploy, and maintain AI agents and features across Linktree ...

Description This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI … time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes. The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot ...

This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI … time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes. The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot ...

This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI … time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes. The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot ...