26 to 50 of 89 Vertex AI Jobs in England

operational challenges to discover and build tailored, domain-specific use cases . You will architect and prototype state-of-the-art AI and technical solutions on the Celonis platform, demonstrate their business impact to C-suite Executives, and ensure successful implementation, adoption, and value realization. Requirements Executive-Facing … Presales & Value Engineering (2+ years): Demonstrated experience supporting the technical close and driving compelling AI transformation narratives. Requires a proven background in accountable PoV execution, ROI/TCO modeling, and showcasing the "Art of the Possible" by pitching visionary solutions to hidden problems. Domain & Industry Expertise: Solid knowledge ...

Description Principal- Strategic Alliances The Cloud-Native Architect of Growth who converts deep-tech partnerships into $ scale revenue, market share, and AI-powered client impact. What are we looking for real solver? We identify better ways of doing things. Solver? Absolutely. But not the usual kind. … sell pipeline. You are 60% strategic seller, 40% technologist—forecasting, chasing, and closing complex deals while co-designing AI use-cases that deliver ≥ 30% ROI. Strategic Influence: You report into senior leadership; success is measured in pipeline velocity, win rate, and our ability to displace incumbents through superior ...

Role Description You 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 … 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. ...

with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications. Your Role in the Team In this role, you will play a key part in driving the development … AI-powered services within the bank and shaping the next generation of our digital solutions. You will work in an agile, self-organized team that actively drives innovation in the field of artificial intelligence. Collaboration is characterized by close communication, joint architecture and design phases, pair programming ...

life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value the company’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what … Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms. Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. ...

brokers, and MGAs modernize operations, enhance underwriting and claims capabilities, and accelerate digital transformation using data, analytics, and advanced platforms. Java Software Engineer – AI Enabled Engineering · UK We are seeking a skilled Java Software Engineer with a growing interest and demonstrated exposure to AI/… centric — you will design and build cloud-native microservices on our BPA (Beyond Policy Administration) platform — with the expectation that you actively apply AI tooling and patterns to accelerate delivery, improve code quality, and contribute to our emerging AI-driven product features. The right candidate codes ...

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 ...

Staff AI Engineer London | Engineering | In office | Full-time The 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 … techniques and modern technologies. You’ll own the full lifecycle of 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 ...

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 and the Agentforce platform. This role … 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. Education - BS in Computer Science, Engineering, Data Science, or equivalent technical ...

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 ...

generation system that reimagines banking workflows for our Corporate, Commercial, and Investment Bankers. Our vision is to empower them with a revolutionary Agentic AI Platform, featuring intelligent, autonomous agents that streamline processes, uncover new opportunities, and deepen client relationships—ultimately leading to significant productivity gains and increased wallet … type: Full time. Key Responsibilities Platform Architecture & Development: Lead the design, architecture, and hands‐on development of a scalable, secure, and resilient agentic AI platform from concept to production. Technical Leadership & Hands‐On Engineering: Serve as the lead engineer and technical authority, guiding critical decisions on frameworks, technologies ...

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 ...

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 ...

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 ...

Forward Deployed Engineer (FDE) in the Google Cloud Consulting 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 … 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 ...

generation system that reimagines banking workflows for our Corporate, Commercial, and Investment Bankers. Our vision is to empower them with a revolutionary Agentic AI Platform, featuring intelligent, autonomous agents that streamline processes, uncover new opportunities, and deepen client relationships—ultimately leading to significant productivity gains and increased wallet … business. Key Responsibilities Platform Architecture & Development: Lead the design, architecture, and hands‐on development of a scalable, secure, and resilient agentic AI platform from concept to production. Technical Leadership & Hands‐On Engineering: Serve as the lead engineer and technical authority, guiding critical decisions on frameworks, technologies, and infrastructure. ...

applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySalesJob DetailsAbout SalesforceSalesforce 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 workforce ...

TITLE: AI Security Engineering Lead SALARY: £92,701 - £115,000 per annum (outside London) £107,304 - £130,000 per annum (London) LOCATION: Leeds, Bristol, Edinburgh, Manchester, London HOURS: Full-time - 35 hours WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week … plays a critical role in safeguarding the Group against an increasingly complex threat landscape while supporting its vision of helping Britain prosper. As AI reshapes both opportunity and risk, we are strengthening our capability to secure the Group's rapidly expanding AI ecosystem. We are looking ...

similar coding languages. Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions. Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g. … company Cloud Platform). Experience leading technical discovery sessions with customers. Preferred qualifications: Master’s degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). ...

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 ...

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 ...

Technical Stack & Requirements: AI/ML Stack: Amazon SageMaker, AWS Bedrock. Design Focus: Vector databases, knowledge graphs, and semantic layers. Databricks: Experience with Databricks and Databricks Genie is highly desirable. Core Mandate: Define the standards for "AI-ready" data curation and direct the integration of AI … methodologies into existing Service Experience and Financials business logic. Qualifications: 6-8+ years of experience. Strong background in AI/ML design and implementation. Ability to architect semantic layers and knowledge graphs. Experience with GitHub Actions for managing codebases. Required Qualifications Bachelor's or Master's degree ...

similar coding languages. Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions. Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google … customer-facing role that requires interactions in French or German with local stakeholders. Preferred qualifications: Master’s degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical ...

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 ...

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 ...