101 to 125 of 126 Vertex AI Jobs in London

Google Cloud is seeking a Customer Engineer, Applied AI, to be the technical authority helping our enterprise customers design, validate, and scale AI agents on Google Cloud. You will lead technical strategy across Applied AI agents, architect solution blueprints, and partner with C-level … stakeholders to accelerate the customer journey from discovery to production-ready deployment. Joining Google Cloud means working with frontier Gemini models and the Vertex AI platform, leveraging deep Google #J-18808-Ljbffr ...

system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI). Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments. Preferred qualifications: Experience diving deep into novel technical problems, deciphering ambiguity, diagnosing bugs, and emerging with credible architectural solutions. Experience … stakeholders or executive leaders. Excellent executive communication skills, capable of translating deep technical integration issues into business impact. About the job As an AI Outcome Customer Engineer, Forward Deployed Engineering, you will work as an enterprise architect, technical debugger, engineering liaison and technical delivery manager. You will bridge ...

Barclay Simpson seeks an exceptional hands-on security technologist/architect to shape how the company securely adopts AI and Agentic AI. You will work with architects, developers and engineering teams to secure AI platforms from design through deployment, creating reusable security patterns and challenging designs. … ideal candidate has a strong security architecture background with application security and AI/LLM security architecture experience, and practical exposure to Vertex AI/Gemini, #J-18808-Ljbffr ...

cloud‐based application development (AWS & Azure). Familiarity with one or more ML frameworks and technologies: scikit‐learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, Triton. Strong communication skills, able to express ideas clearly and collaborate across teams. #J-18808-Ljbffr ...

based application development (we use AWS & Azure)Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, TritonStrong communication skills, able to express ideas clearly and collaborate across teamsAdditional InformationBring all of you to workWe create ...

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 ...

Enterprise Architect - AI-Led Transformation (GCP/Vertex AI/Gemini) - 90-130K plus 10% bonus + benefits UK-wide office locations (London, Woking, Hove, Bristol, Cardiff, Birmingham, Liverpool, Manchester, Glasgow, or Edinburgh) Hybrid Can you shape a transformation road map with … client's executive team in the morning and show engineering teams how Agentic AI will work in production click apply for full job details ...

global payment network. You will work at the intersection of ML, graph-based detection and behavioural modelling, building production-ready systems on GCP Vertex AI using Python, SQL and BigQuery. You will collaborate with Engineers, Fraud Analysts and Product Managers to shape the technical roadmap ...

SmartRecruiters, Inc. is seeking a highly skilled Full Stack Engineer for a high-velocity contract engagement. You will build a modern, AI-integrated application hosted on Google Cloud Platform, bridging a React/TypeScript frontend with a Python/FastAPI backend. You will connect Vertex AI ...

client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced AI solutions. The requirement is for talented Machine Learning Engineers with excellent Python development skills and the ability to take ownership of the entire machine … Python (Pandas, Scikit-learn, Jupyter, Matplotlib) Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services) Expertise: Solid understanding of computer science fundamentals and time-series forecasting Machine Learning: Strong grasp of ML and deep learning algorithms ...

client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced AI solutions. The requirement is for talented Machine Learning Engineers with excellent Python development skills and the ability to take ownership of the entire machine … Python (Pandas, Scikit-learn, Jupyter, Matplotlib) Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services) Expertise: Solid understanding of computer science fundamentals and time-series forecasting Machine Learning: Strong grasp of ML and deep learning algorithms ...

accomplish this through close cross-functional collaboration and teamwork with Strategic Negotiators, varying Technical Program Mangers 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 force 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 ...

exclusively partnering with Connect Managed Services to recruit a Machine Learning Engineer to help design, deploy and scale the next generation of Conversational AI and data analytics platforms. This is a hands-on engineering position sitting at the intersection of Machine Learning, Generative AI and production … models across cloud and edge environments. The successful candidate will work on production-grade ASR, TTS, LLM and Small Language Model pipelines , taking AI capabilities from development through to highly available, low-latency production environments. The Role As a Machine Learning Engineer, you will be responsible for building ...

seamless cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs Job Description As a Senior AI Engineer, you will play a key role in building, deploying, and maintaining machine learning and AI solutions that solve real business problems … from data preparation and model development through to production deployment and monitoring. Solution Development: Support the design and implementation of data science and AI solutions, translating defined requirements into working technical components. Modelling & Analysis: Apply established data science and machine learning techniques to analyse data and solve business ...

them to design and implement complex or high‐impact elements. You will also contribute to the development of central products, services and components. AI is changing how we build software, and you will contribute to the evolution of our engineering practices. You will bring curiosity, sound judgement … implementation support Identify opportunities to simplify, standardise or consolidate solutions into reusable components and services Help drive the evolution of SDLC practices for AI-enabled development, to reduce friction while maintaining quality and sustainable delivery Champion proportionate engineering practices, including automated testing, CI/CD, coding standards, observability ...

will manage the full life cycle of verification, which can range from verification planning and test execution to collect and close coverage. The AI and Infrastructure team is redefining what's possible. We empower Client customers with breakthrough capabilities and insights by delivering AI and Infrastructure … billions of Client users worldwide. We're the driving force behind Client'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 ...

merchandising tooling. Act as the business QA gatekeeper for ongoing weekly releases, testing new capabilities including currency launches, performance enhancements, and Google Vertex AI algorithmic merchandising integrations alongside manual VM tooling. Assess and approve deployment schedules to ensure zero negative site impact, carefully timing releases ...

remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech … bring Championing a data mindset across the org. Applying advanced analytics/machine learning techniques to real-world datasets. IDE automation and AI tooling (Cursor, Claude, Copilot, Vertex, Gemini, etc.), LLM integrations applied to data and BigQuery, and Agentic AI/MCP experience. ...

valuable environments in which to apply modern technology. You will work with complex enterprise data, mission-critical processes and high-impact decisions, using AI, data and engineering to reshape how organisations plan, control performance and allocate resources. The opportunity goes beyond building technically strong solutions: you will … working with Data and ML Engineers on pipelines, APIs, model registry, versioning, deployment, monitoring, drift detection, retraining and controlled override workflows. Work with AI Engineers where forecasting intersects agentic workflow, including proactive variance alerting, hypothesis ranking and draft narrative generation, while retaining appropriate finance review and approval. Document ...

pandas, scikit-learn, PyTorch) and SQL Solid grounding in statistics, experimentation and causal inference Experience with at least one MLOps stack (MLflow, SageMaker, Vertex) Nice to have Published research or Kaggle competition experience Domain depth in financial services, retail or healthcare Send your CV and a short note ...

tooling. Be part of a growing and diverse team tasked with creating the next generation of statistical models, machine learning algorithms and AI based products and services. We believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration … apart Experience of developing AI/ML based fraud solutions and models Day to day use of G-Suite tooling, GCP and VertexAI Experience of working in a credit reference agency and/or client environment e.g. Banking, Lending, Insurance, Public Sector, Utilities, etc. Use of LLMs ...

hand-picked products 24/7, delivered in minutes.Key Responsibilities:Stakeholder Management: Help business leaders at Zapp understand and prioritise opportunities related to AI/MLEnd-to-End Development and Ownership: Own the lifecycle of new models from concept to deployment and monitoring, and continuously iterate.Reporting/DashboardingCollaboration … automated deployment pipelines (CI/CD).Desirable skills:Past work in retail demand forecastingExperience working in a startup environmentExperience with GCP/Vertex AIentBenefits:Competitive salary & equity package.Zapp Credit for testing the Zapp service and experienceEnjoy 25 days of holiday per year (plus all bank holidays).Private Health ...

Build the AI-native platform that powers go-to-market for Canva, Ramp, and Elastic. London (Shoreditch) · Hybrid (2 days/week in office) or Remote Userled is the AI-native platform that hundreds of enterprise B2B companies like Canva, Ramp, Elastic, Synthesia, and NinjaOne … hundreds of millions of monthly web traffic events and work with hundreds of millions of CRM records across our customer base. We run AI-powered personalisation at scale, generating on-brand content in seconds for thousands of accounts simultaneously. We power full-funnel orchestration from the first ...

Storybook + Chromatic Mantine GCP (Cloud Run) Backend Typescript PostgreSQL GraphQL Yoga Jest Auth0 GCP (Cloud Run, Cloud SQL, Cloud Storage + more) AI/agentic platform Opus/GPT/Gemini/and many more model families Vertex/Bedrock/Foundry - Cloud deployed models … Temporal - durable workflow engine MCP servers as the tool layer AI gateway (Bifrost) for logging, routing, governance Eval harness (Phoenix) - golden queries, LLM-as-judge Memory layer (Neo4j) All the other good stuff GitHub Actions Datadog Figma Slack Linear The opportunity at Ravio right now From your perspective ...

Storybook + Chromatic Mantine GCP (Cloud Run) Backend Typescript PostgreSQL GraphQL Yoga Jest Auth0 GCP (Cloud Run, Cloud SQL, Cloud Storage + more) AI/agentic platform Opus/GPT/Gemini/and many more model families Vertex/Bedrock/Foundry - Cloud deployed models … Temporal - durable workflow engine MCP servers as the tool layer AI gateway (Bifrost) for logging, routing, governance Eval harness (Phoenix) - golden queries, LLM-as-judge Memory layer (Neo4j) All the other good stuff GitHub Actions Datadog Figma Slack Linear The opportunity at Ravio right now From your perspective ...