11 of 11 Vertex AI Jobs in West London

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. Responsibilities: Deliver compelling presentations, product demonstrations, and technical workshops at Google events, accelerator programs (e.g., Plug n Play, local startup hubs), and industry conferences. Build ...

serve as the tactical engine driving the adoption of Gemini Enterprise (GE) across Google Cloud's accounts. Your primary mission is to industrialize AI excellence by moving licenses from sold to activated, with a relentless focus on increasing Weekly Active Users (WAU) and ensuring production-grade deployment … life-cycles. Preferred qualifications: Master's degree in Computer Science, Electrical Engineering, or an MBA with a technical undergraduate background. Proficiency with Google Cloud AI offerings (Vertex AI, Gemini) and familiarity with modern multi-agent systems such as LangGraph or CrewAI. Ability to navigate ...

Forward Deployed Engineer (FDE) in the Google Cloud organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug … founder's mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of complex AI ...

hackajob is partnering directly with Google to hire for this role. Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models … massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced ...

functional teams internally and externally. Experience interfacing with, and being a trusted partner for, C-level executives in partner companies. Proficiency with Google Cloud AI offerings (e.g., Vertex AI, Gemini, ADK) and familiarity with modern multi-agent systems (e.g., LangGraph, CrewAI), coding agents … Sales teams, and technology Leadership, gathering real-world field insights and technical bottlenecks directly from partner deployments, helping synthesizing feedback back to internal Cloud AI Product and Engineering teams. ...

evolve early-stage ideas into future growth initiatives.It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll leverage Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. … provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering ...

team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer - Applied AI ML Director at JPMorganChase within the Accelerator Business, you are the heart of this venture, focused on getting smart ideas into the hands … Required qualifications, capabilities and skills: Demonstrate proficiency in Java and/or Python programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization ...

Capacity Management Lead, Forward Deployed Engineeringis a critical operational role focused on optimizing the deployment, utilization, and well-being of technical talent across AI Tech Go-to-Market teams. Operating as an individual contributor, you will own the end-to-end matchmaking process, aligning project requirements with consultant … staffing with strategic forecasting and process improvement. It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. ...

This will be accomplished through close cross-functional collaboration and teamwork with Strategic Negotiators, varying TPgMs and Network Engineers across multiple teams. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure … billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware ...

Understanding of the digital advertising ecosystem and how messaging serves as a conversion channel. Knowledge of Dialogflow CX/ES, webhooks, and Gemini (Vertex AI) integration for conversational experiences. Responsibilities: Lead end-to-end design of conversational messaging solutions, architecting flows, building chatbots, and integrating agentic ...

hackajob is partnering directly with Google to hire for this role. As an Agentic Marketing Specialist, you will work at the AI-driven marketing, helping the team deploy AI-powered agentic workflows, applying emerging tools and approaches to traditional marketing way of working. You will define … will collaborate in sprints with Product Marketing Managers to safely deploy agents, serving as the bridge between marketing goals and modern generative AI capabilities built by central MarTech and Engineering teams.Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology ...