7 of 7 Remote/Hybrid Google Gemini Jobs in London

into applications and enterprise workflows Your Profile Essential Skills/Knowledge/Experience AI Engineer (5 to 12 Years) Hands-on experience with GenAI, Gemini or Open source LLMs, Train, finetune and Onboard new LLMs Experience in building GenAI applications using Python Hands-on Experience with API Development ...

data and conditions change Your Profile Essential Skills/Knowledge/Experience Role - Data Scientist (5 to 12 Yrs) Hands-on experience with GenAI, Gemini or Open source LLMs and develop GenAI applications for Code Translation, Text Extraction, Summarisation and SDLC Optimization etc. Hands-on Experience with AI Agents ...

React ASP.NET Core, Entity Framework, REST APIs, Swagger/OpenAPI SQL Server, PostgreSQL, NoSQL databases, vector databases FastAPI and AI service integrations (OpenAI, Claude, Gemini) Docker, Kubernetes (AKS), Azure App Services Azure DevOps, Azure Boards, CI/CD pipelines API Management, OAuth2, JWT, audit logging Unit testing across .NET ...

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 ...

with data analysis using Python (pandas, numpy) Understanding of data pipelines and ETL processes AI/LLM Engineering Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs … with Helm and Kubernetes operators Background in data science, statistics, or scientific computing Experience with graph analytics or network analysis Experience with Apple and Google App Stores Experience in early-stage startups What We Offer Impact : Direct influence on product direction and technical decisions Growth : Opportunity to work across ...

define and deliver the requirements for CTL integration. Multiply your output with AI : Orchestrate AI coding agents (e.g., Claude Code, GitHub Copilot, Devin, Gemini Code Assist) across all stages of the SDLC while maintaining mastery, quality, and production fitness over all AI‐generated work product. Deliver outsized business value … strong command of concurrency, collections, and modern language features. Demonstrated experience with AI assisted engineering tools (e.g., Claude Code, GitHub Copilot Agent Mode, Devin, Gemini Code Assist), including the ability to govern AI agents, critically assess their output, and maintain quality over AI‐generated work product. Experience building event ...

Manager, but the right stack helps us move with velocity. Here is what we use to build, measure, and learn: Collaboration: Notion, Whimsical, Slack, Google Meet. Design, Prototyping & User Testing: Figma, Figma Make, Maze Data & Analytics: Snowflake, Amplitude, Hotjar, Looker Thinking & Strategy: Gemini Automations: Claude Code, Zapier What ...