26 to 50 of 135 Google Gemini Jobs in England

using agents (vector retrieval, function calling, secure tool execution). Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude). Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions. Strong analytical ...

modern Agentic AI. You should have experience with several of the following: Agentic AI/AI Agents LLM application development OpenAI, Azure OpenAI, Anthropic, Gemini or similar LLM orchestration and tool/function calling RAG and retrieval-based AI Vector databases and embeddings AI workflow automation Python, C# ...

Languages: Python, SQL Data & Transformation: dbt, Snowflake, BigQuery Visualisation & BI: Looker Engineering & MLOps: Docker, GitHub Workflow & Orchestration: Vertex AI Pipelines (GCP), Kubeflow LLMs & GenAI: Gemini API, Claude API INTERVIEW PROCESS Step 1: People Team Screening Call (30 min) Step 2: Hiring Manager Call: Experience (45 min) Step 3: Technical ...

skills Must have availability to occasionally work nights and some weekends Expert knowledge of multiple major public cloud platforms (Azure, AWS, and/or Google Cloud) including advanced networking, compute, security, IAM, and cost optimization Expert technical skills with Windows Server Technologies, including Active Directory and hybrid identity solutions … Information Protection, and Insider Risk Management, and how these underpin safe enterprise AI adoption Familiarity with Azure AI Foundry, Amazon Bedrock, or Amazon SageMaker; Google Vertex AI experience a bonus Understanding of data readiness principles for AI, including permissions hygiene, oversharing remediation, and sensitivity labeling Awareness of AI regulatory ...

modern web technologies Designing and integrating Generative AI/LLM functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security ...

modern web technologies Designing and integrating Generative AI/LLM functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security ...

modern web technologies Designing and integrating Generative AI/LLM functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security ...

modern web technologies Designing and integrating Generative AI/LLM functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security ...

degree of autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production ...

products and solutions. D ESIRABLE : 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). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Active contribution ...

Large Language Models (LLMs) and Generative AI techniques and their applications in healthcare or data synthesis. Ability to leverage AI productivity tools (e.g., ChatGPT, Gemini, Cloud Code) to accelerate coding, debugging, documentation and other processing workflows. Familiarity with computational biology, bioinformatics or genomics and the associated data types ...

maintain high coverage. Collaborate with QA, DevOps, and Product teams in an Agile (Scrum/Kanban) environment. Integrate LLM-based capabilities (e.g., OpenAI, Gemini, Claude) into Java services via REST/SDK — for use cases such as document extraction, policy summarisation, or intelligent routing. Build or consume vector-search … vector databases, prompt engineering, or RAG pipeline construction — even in a personal project or hackathon context. Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). Basic understanding of embeddings, semantic search, and token-based context management. Comfortable reading Python code or notebooks (most ...

continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters ...

maintaining data‐intensive, production systems. Familiarity with modern AI engineering techniques such as prompt‐engineering, fine‐tuning, eval loops, and technologies such as Gemini, Claude and OpenAI APIs. Hands‐on experience with AI tools/frameworks (e.g., Braintrust, AutoEval) and/or MLOps tools (e.g., Airflow, MLflow, Vertex ...

deploy solutions that meet the ROI and TTV objectives. Utilise Existing AI Technology: Hands-on configuration and deployment of established AI tools (e.g., Salesforce, Gemini, GCP, Claude, AWS) to solve immediate business challenges. Accelerate Time-to-Value (TTV): Focus on rapid implementation and scaling of solutions. Move quickly from ...

deploy AI-native applications leveraging Large Language Models (LLMs), agentic systems and multimodal AI technologies. Design, build and orchestrate intelligent agent workflows using the Gemini Enterprise Agent Platform, Agent Development Kit (ADK) and Agent2Agent (A2A) protocol. Develop and implement Retrieval-Augmented Generation (RAG) architectures, vector search capabilities and long … term agent memory solutions. Deploy, monitor and improve AI agents using Google's managed agent runtime and foundation models, including Gemini and Claude. Create intuitive, scalable user interfaces using modern front-end technologies such as React, Next.js and Svelte. Build robust backend services, APIs and orchestration frameworks ...

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 ...

working across multiple teams and disciplines. AI and Agentic Engineering Extensive hands-on experience with modern AI engineering tools such as Claude Code, Codex, Gemini, Cursor, Windsurf or equivalent. Experience designing and implementing agentic workflows into software delivery processes. Deep understanding of prompt engineering, context management and agent orchestration ...

proactive, solutions-oriented mindset, resolving technical and procedural challenges promptly to keep programmes on track. Proficient in using AI tools (such as Claude and Gemini) to accelerate and enhance day-to-day work, from code generation, debugging, and documentation to research and problem-solving — with sound judgement about where ...

assistants and machine learning concepts. Hands-on experience with Microsoft AI technologies, including Azure AI, Microsoft Copilot, and familiarity with platforms such as Google Gemini, Vertex AI or AWS AI services, alongside a solid understanding of AI and data governance best practices. Job Offer AI & Data Enablement Lead ...

assistants and machine learning concepts. Hands-on experience with Microsoft AI technologies, including Azure AI, Microsoft Copilot, and familiarity with platforms such as Google Gemini, Vertex AI or AWS AI services, alongside a solid understanding of AI and data governance best practices. Job Offer AI & Data Enablement Lead ...

Microsoft Fabric — with deep expertise in at least one BI & visualisation: Power BI and/or Tableau Generative AI: ChatGPT, Copilot and/or Gemini Apps & automation: Microsoft Power Platform Source control & CI/CD: GitHub and/or Azure DevOps Infrastructure as code: Terraform Code: SQL and Python ...

services that enable credible technical storytelling and high-fidelity client validation. Your core responsibilities will include: AI-Accelerated Prototyping: Leverage LLMs (e.g., Claude and Gemini) to rapidly scaffold, build, and iterate on proof-of-concept apps and mock services. You move faster than a traditional sprint by using ...

Understanding of LLM architecture and inference performance dynamics (e.g., Transformer models, memory bandwidth and compute bounds, KV cache scaling). About the job At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring … forefront of bringing AI research to life. You'll work directly with researchers and engineers to optimize and deploy large language models (LLMs) like Gemini onto Google's production infrastructure, impacting users across a different range of applications. This involves a blend of technical expertise and collaborative problem ...

across the business. You'll be working on innovative AI use cases coming out of their dedicated Innovation Studio, using technologies such as Google Gemini, Anthropic, Copilot and GCP. This is a chance to join a business that is genuinely investing in AI, with the autonomy to influence … have: Recent experience as an AI Engineer/AI Developer Experience building AI applications using LLMs and GenAI technologies Experience with tools such as Gemini, Anthropic, Copilot or similar A genuine passion for AI and you keep up with the latest developments and are always experimenting with new technology ...