1 to 25 of 92 Google Gemini Jobs in the UK

integration technologies and protocols (APIs,ReST,HTTPS etc..) Expertise in AI/ML algorithms, enterprise-scale applications, and SaaS AI platforms (e.g., MS Copilot, Google Gemini Enterprise, Google Vertex AI, Claude), with experience integrating AI solutions with enterprise systems (Microsoft, Workday, SAP) to enable connected experiences across … search and conversational AI. Advanced architectural expertise in Microsoft Azure, or Google Cloud Platform (Azure/GCP preferred), specifically around modern compute (Kubernetes/AKS/EKS, Serverless), IAM, networks, and secure storage. 2 to 4 years' experience in CPG, Retail domain. Excellent analytical and problem-solving skills, with ...

ONNX Runtime , and LangChain , integrating orchestration tools like Semantic Kernel , LangGraph , and CrewAI Drive responsible integration of Large Language Models (LLMs) from OpenAI , Anthropic , Google Gemini , and Mistral , including deployment via Azure OpenAI Service or Vertex AI . Implement retrieval-augmented generation (RAG) architectures and manage vector databases ...

coding → testing → ops). Tooling & Platforms (practitioner proficiency) Claude Code (Anthropic) for secure, context‐rich code assistance; use with projects, tool use, code planning. Google Gemini (Nano/Pro/1.5) for multimodal reasoning; integrate via Vertex AI; grounding, structured output, function‐calling. Azure OpenAI/GPT‐4.x … assistance across AWS stacks. Cursor, GitHub Copilot, Devin for IDE‐native agentic coding; policies for context windows, secrets hygiene, and traceability. NotebookLM/Gemini for research workflows where permitted; govern enterprise knowledge ingestion. Architecture & Integration Distributed systems, microservices, cloud‐native (Azure/AWS/GCP); secure API design (REST ...

wider community. Desirable 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‐source ...

DESIRABLE: \n \n 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). \n\n \n Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. ...

DESIRABLE: \n \n 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). \n\n \n Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. ...

DESIRABLE: \n \n 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). \n\n \n Experience with data storage for AI, vector databases, semantic search and knowledge graphs. ...

user experience in production Gen AI applications. Qualifications Deep expertise in Large Language Models (LLMs), including commercial and open-source models (e.g., OpenAI, Gemini, Claude, Llama), and selecting the right model for use case, cost, and performance constraints. Hands‐on experience building Gen AI applications using modern frameworks such ...

applications**What we'll need from you*** **Deep expertise in Large Language Models (LLMs)**, including commercial and open-source models (e.g., OpenAI, Gemini, Claude, Llama), and selecting the right model for use case, cost, and performance constraints* **Hands‐on experience building Gen AI applications using modern frameworks** such ...

DESIRABLE: \n \n 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). \n\n \n Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. ...

development of full‐stack solutions from prototype through to production, including agentic workflows in Python and integrations with LLMs such as OpenAI/ChatGPT, Google Gemini, Nvidia, and Writer . Work Across the Commerce Ecosystem: Support the integration of AI/ML capabilities with enterprise platforms, helping connect … databases, including writing and maintaining stored procedures. Foundation in modern software engineering and DevSecOps practices. Set Yourself Apart... Cloud certifications (e.g. Azure Solutions Architect, Google Professional Cloud Architect). Exposure to MLOps frameworks and vector databases (e.g. Pinecone, Weaviate). Experience contributing to proof‐of‐concepts or MVPs, demonstrating ...

Next.js architecture Server Components, streaming UX and edge rendering Component systems and frontend orchestration AI Ecosystems & Orchestration Experience across modern AI ecosystems including OpenAI, Gemini, Claude and OSS models RAG pipelines, vector databases, embeddings and chunking Tool calling, agentic systems, orchestration and memory frameworks Prompt engineering, prompt management ...

language models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, and AI orchestration frameworks. Demonstrated experience building AI applications using models such as GPT, Claude, Gemini, and similar is expected. Excellent communication and stakeholder management skills is expected as an AI Forward Deployed Engineer, working closely with senior leadership such ...

language models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, and AI orchestration frameworks. Demonstrated experience building AI applications using models such as GPT, Claude, Gemini, and similar is expected. Excellent communication and stakeholder management skills is expected as an AI Forward Deployed Engineer, working closely with senior leadership such ...

Docker and Kubernetes Event-driven architecture Monorepo environments Observability platforms Feature flag frameworks AI development tools such as GitHub Copilot, Cursor, Claude Code or Gemini Code Assist If you are able to commute to Manchester/Bury 3 times a week and are interested in this role, click 'apply ...

GitHub Actions. Docker/Kubernetes. Monorepo development. Event‐driven architecture. Observability platforms. Feature flag frameworks. AI‐assisted development tools (GitHub Copilot, Cursor, Claude Code, Gemini Code Assist). Experience 8+ years commercial Full Stack software engineering experience. Proven delivery of cloud‐native digital products. Experience working within cross‐functional ...

function/tool calling, and orchestration frameworks like LangChain, LangGraph, LlamaIndex, and Semantic Kernel. Hands‐on exposure to API-based LLM providers (Claude, GPT, Gemini) and open‐source solutions (Llama, Mistral). Agentic AI & Orchestration : Hands‐on experience designing autonomous and multi‐agent systems that reason, plan … Familiarity with agentic design patterns (ReAct, planning, reflection, human‐in‐the‐loop) and agent frameworks such as LangGraph, CrewAI, MAF, OpenAI Agents SDK, and Google’s Agent Development Kit (ADK). Experience building agentic workflows with memory, state management, and reliable multi‐step task execution. Model Context Protocol ...

technical stakeholders, grounding explanations in business value and real-world risk. Understanding of cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Gemini) and how they integrate with enterprise services, security patterns and APIs. Ability to communicate on a Business and Technical level bringing solutions to life ...

DESIRABLE: \n \n Experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g. scikit-learn, XGBoost). \n\n \n Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. ...

image, and multimodal generation; advanced prompt engineering; orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel). Hands‐on exposure to both API‐based (Claude, GPT, Gemini) and open‐source (Llama, Mistral) LLM‐based solution design. Agentic AI & Multi‐Agent Architecture – design of autonomous and multi‐agent systems, agentic design patterns … ReAct, planning, reflection, tool use, human‐in‐the‐loop), and frameworks (LangGraph, CrewAI, MAF, OpenAI Agents SDK, Google ADK). Proven ability to architect reliable agentic workflows with memory, state management and safe multi‐step task execution at scale. Model Context Protocol (MCP) & Interoperability – architectural knowledge ...

ensuring robust governance, observability, and performance across the AI stack. Key Responsibilities Design and develop multi-agent AI systems using frameworks such as Google ADK, LangChain, and LangGraph Build and maintain stateful workflows , orchestration layers, and agent decision-making processes Develop secure, scalable Python APIs and backend services that … Python development , backend engineering, and distributed systems Experience building APIs, microservices, and scalable production applications Hands-on experience with LLM platforms including OpenAI, Gemini, Claude, or similar Proven experience with LangChain, LangGraph, Google ADK , or related AI orchestration frameworks Strong understanding of agentic architectures, workflow orchestration ...

technical stakeholders, grounding explanations in business value and real-world risk. Understanding of cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Gemini) and how they integrate with enterprise services, security patterns and APIs. Ability to design an end to end solution that is cost effective, increases ...

pipeline tooling.Proficiency in Python or an equivalent scripting language for investigation tooling, automation, and data analysis.Hands-on experience with AI-assisted development tooling (Anthropic, Google Gemini, OpenAI, or similar).Strong cross-functional communication skills: able to summarise a complex technical investigation clearly for both engineering teams and customer ...

technical stakeholders, grounding explanations in business value and real-world risk. Understanding of cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Gemini) and how they integrate with enterprise services, security patterns and APIs. Ability to communicate on a Business and Technical level bringing solutions to life ...

problem solving Attention to detail and ability to follow processes Self-motivation and integrity Experience using AI assistants such as Copilot, ChatGPT, Claude or Gemini in study, work or home Training Ongoing employment and career development. Apprenticeship Standard Artificial intelligence (AI) and automation practitioner (level 4) Training Provider DIGITAL ...