1 to 25 of 170 Permanent Google Gemini Jobs in London

# Google Cloud EngineerAccenture Federal ServicesLocation not specifiedFull-timeAI tools:GeminiUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis role builds Google Cloud applications, data pipelines, and integrations, including agentic AI components using Gemini Enterprise. You’ll join Accenture’s Google and Gemini Enterprise business groups, translating client needs into secure, production-ready cloud and AI solutions.* Full-time* On-site* Specialist/Consultant### Skills and expertiseGoogle CloudGemini Enterprise Agent PlatformGemini EnterpriseADKGKEBigQueryTerraformCI/CD### Key responsibilities* Build and deploy agentic AI components with Gemini Enterprise Agent Platform.* Engineer ...

Google Edge team—a specialized group of engineers, architects, and builders delivering tailored Google Cloud solutions for mid-market, high-growth, and fast-paced enterprises. We partner with dynamic organizations to connect them with the right combination of Accenture solutions and Google Cloud products to accelerate business … fabric of how modern businesses run — and most companies are stuck on aging platforms that can't keep up. Application modernization on Google Cloud is about more than a lift-and-shift — it's about rearchitecting how companies build, deploy, and scale software. From containerized microservices ...

Google Edge team—a specialized group of engineers, architects, and builders delivering t ailored Google Cloud solutions for mid-market, high-growth, and fast-paced enterprises. We partner with dynamic organizations to connect them with the right combination of Accenture solutions and Google Cloud products to accelerate … fabric of how modern businesses run — and most companies are stuck on aging platforms that can't keep up. Application modernization on Google Cloud is about more than a lift-and-shift — it's about rearchitecting how companies build, deploy, and scale software. From containerized microservices ...

human-in-the-loop, Model Context Protocol (MCP) patterns. Set standards for LLM selection, routing, and orchestration across foundation models (e.g., Anthropic Claude, OpenAI, Google Gemini, open-source) and legal AI platforms (e.g., Harvey, Legora). Define Retrieval-Augmented Generation (RAG) standards, embeddings, vector stores, hybrid retrieval, chunking … using services such as Azure OpenAI or Vertex AI Deep hands-on expertise with LLM architectures and foundation models (e.g. Anthropic Claude, OpenAI GPT, Google Gemini), including model selection, fine-tuning, distillation, and evaluation. Proven experience designing RAG and agentic architectures, vector databases (Azure AI Search, Pinecone), embeddings ...

stakeholders to decide amongst available technologies. Contribute to a compiler which scales-out machine learning models across accelerators like TPU/GPUs at Google and Cloud. Design and implement performance optimizations and critical features, which increase the velocity of important production teams. Apply AI to the development … construction. Excellent debugging and programming concurrent/parallel computations, and working on accelerators such as VLIW, Vector machines, GPUs, or DSPs. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. ...

experience recruiting across multiple EMEA and Americas markets and this breadth of roles is a strong advantage. Use AI tools — including Claude and Google Gemini — as a core part of your daily workflow to accelerate sourcing, automate recruiting tasks, synthesize market intelligence, and produce compelling job content … tracking systems (ATS), Candidate Relationship Management (CRM), LinkedIn Recruiter, HRIS, and advanced internet search techniques. Hands‐on fluency with AI tools — particularly Claude and Google Gemini — applied to real recruiting workflows: sourcing, candidate outreach, job description writing, market research, and workflow automation. Comfort learning and adopting ...

wider community. D ESIRABLE : Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Contributions to open ...

serverless architectures; sandboxes and enclaves; GitOps and CI/CD pipelines; and GenAI, LLMs, and agentic frameworks, APIs and SDKs (such as Anthropic, OpenAI, Google Gemini, Jev, LangChain, LangGraph, PydanticAI); agent sandboxes and enclaves; agent harnesses; and agent memory substrates. Education A degree in a STEM subject ...

Azure AI Search). Hands‐on experience with AWS Bedrock and Sagemaker would be highly desirable Experience with GenAI platforms (e.g., OpenAI API, Anthropic, Gemini, Llama or equivalents). Exposure to big data/distributed computing and pipeline/feature engineering. LLM safety & governance (hallucination mitigation, grounded responses, audit ...

Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI, AWS Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging AI frameworks ...

proposed solution is built to the agreed architecture and quality standards Core Technical Skills Hands‐on experience with LLMs such as OpenAI GPT, Claude, Gemini or Mistral Experience designing and building agentic AI solutions, including tool use, workflow orchestration, routing, memory, and multi‐agent patterns Expertise in prompt engineering ...

build LLM-powered features such as retrieval-augmented generation (RAG), semantic search, chat assistants, and AI agents- Integrate LLM APIs (e.g. OpenAI, Anthropic, Gemini) and open-source models into Django and FastAPI services- Build and maintain data pipelines for document ingestion, chunking, embeddings, and vector search- Engineer prompts, tool ...

environments. Demonstrable experience successfully designing and launching multiple enterprise GenAI implementations beyond proof‐of‐concept stage. Strong expertise in LLM ecosystems including OpenAI, Anthropic, Gemini, and related model platforms. Hands‐on experience with RAG architectures, Agentic AI frameworks, and orchestration tools such as LangChain, LangGraph, AutoGen, and CrewAI. Proven ...

doing Develop, fine‐tune, and optimise large language models for domain‐specific health applications, working with both proprietary and open‐source models (Gemini, GPT, Llama, etc) Design and maintain automated pipelines for model training, fine‐tuning, evaluation, and deployment across diverse AI workloads Build and enhance LLM evaluation frameworks ...

data and technology awareness Deep practical experience with: Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/ ...

cloud first technologies; we are Azure based, with PostgreSQL and MongoDB as our primary data stores and a multi-provider LLM stack (OpenAI, Google Gemini and Anthropic). We want you to dive in, get your hands dirty, and figure things out, but also to be someone your ...

systematic approaches to measuring agent quality, reliability, and production performance. Deep familiarity with using frontier models (from providers such as Anthropic, OpenAI and Google Gemini), including deployment, optimisation and migration strategies as well as with machine learning, LLMs, and agentic AI workflows. Proficient in programming, debugging, and problem ...

development services on prominent cloud platforms such as Azure Open AI, Azure AI Foundry, Azure Search, Azure Cognitive Services, Terraform, AWS Bedrock, AWS Sagemaker, Gemini enterprise agent platform.Experience building AI applications, preferably Generative AI and LLM based apps.Experience deploying resources to the cloud via terraform and CI/ ...

surfaces where customers increasingly begin their journey. We are looking for a technically strong architect to lead the design and delivery of Google-powered AI commerce experiences - with intelligent, AI-native search and discovery at the core, extending across the wider set of on-platform agentic commerce use cases. … will work at the intersection of enterprise commerce platforms and Google's agentic AI stack - Vertex AI Search for Commerce, Gemini Enterprise (GECX), Google Cloud Agents, Vertex AI Agent Builder/ADK, and the Customer Engagement Suite - translating commerce strategy into production-grade, grounded, and commercially reliable ...

Work: Lead end-to-end solutioning for complex Google Cloud transformation opportunities, from early client shaping through RFP/RFI response, architecture, commercials and mobilisation. Make Gemini Enterprise the front door for agentic transformation: enterprise search, employee productivity, no-code/low-code agents, governed custom agents … GECX-led customer experience solutions, including conversational AI, agent assist, CX insights, voice/digital integration, knowledge grounding and responsible AI controls. Design modern Google Cloud architectures spanning cloud foundations, Google Distributed Cloud, application modernisation, data platforms, Vertex AI, BigQuery, security and automated operations. Translate business outcomes into ...

Work: Lead end-to-end solutioning for complex Google Cloud transformation opportunities, from early client shaping through RFP/RFI response, architecture, commercials and mobilisation. Make Gemini Enterprise the front door for agentic transformation: enterprise search, employee productivity, no-code/low-code agents, governed custom agents … GECX-led customer experience solutions, including conversational AI, agent assist, CX insights, voice/digital integration, knowledge grounding and responsible AI controls. Design modern Google Cloud architectures spanning cloud foundations, Google Distributed Cloud, application modernisation, data platforms, Vertex AI, BigQuery, security and automated operations. Translate business outcomes into ...

large language models (LLMs), AI agents, and generative AI technologies. Excellent communication and collaboration skills. Fluency in English. Preferred Qualifications Experience with OpenAI, Anthropic, Google Gemini, or similar AI platforms. Knowledge of RAG systems and agentic architectures. Frontend development experience. Familiarity with CI/CD, observability tools, APIs ...

broad range of Azure resource types including AI Foundry 3+ years experience working with frontier AI tools and models, including OpenAI, Claude and Gemini families Hands on experience with DevOps implementing CI/CD pipelines, incorporating LLMOps/MLOps. Knowledge of Github Actions strongly preferred Hands on experience ...

sales, and a passionate interest in the disruptive commerce changes ahead. You are energised by the explosion of LLM-influenced online commerce journeys (e.g. Gemini, ChatGPT), to the launch of immersive conversational-AI experiences, to the role of AI in optimising core commerce processes and operational support models. … Engine Optimisation (AEO), AI-native search, LLM-powered applications and brand or consumer-facing agents Some exposure to AI and agentic platforms — such as Google Gemini, OpenAI Agent SDK, LangGraph, n8n, Microsoft Agent Foundry or AWS Bedrock Familiarity with one or more areas of the commerce technology ecosystem ...

sales, and a passionate interest in the disruptive commerce changes ahead. You are energised by the explosion of LLM-influenced online commerce journeys (e.g. Gemini, ChatGPT), to the launch of immersive conversational-AI experiences, to the role of AI in optimising core commerce processes and operational support models. … Engine Optimisation (AEO), AI‐native search, LLM‐powered applications and brand or consumer‐facing agents Some exposure to AI and agentic platforms — such as Google Gemini, OpenAI Agent SDK, LangGraph, n8n, Microsoft Agent Foundry or AWS Bedrock Familiarity with one or more areas of the commerce technology ecosystem ...