10 of 10 Google Gemini Jobs in the City of London

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 ...

Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI , Anthropic , Gemini , and DeepSeek . Hands-on experience with the full RAG pipeline, including vector embeddings , rerankers , and data indexing in databases like MongoDB. Practical knowledge ...

quickly in small teams (links to apps, repos, case studies, live products). Desired Node.js alongside Python for services or integrations. App Store/Google Play release experience. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets … React Native Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions). Vectors/Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. ...

embedding pipelines LangChain, CrewAI, or similar orchestration frameworks Practical security and data-privacy awareness Experience using Linear or similar planning tools Experience with Gemini and/or NanoBanana Pro or any other image modelling AI systems Experience with AI-assisted development using tools like Claude Code Previous startup experience ...

databases and embeddings Strength in LLM fine-tuning or multimodal reasoning Proven ability to ship full-stack products fast Strong Python skills Experience using Gemini would be preferred The Culture Just a small, ambitious team that debates hard, builds fast, and chases ideas that matter. ...

pace and evolve it into something robust and scalable. This will likely be a migration to TypeScript. Own the LLM layer across OpenAI, Gemini, and Anthropic, deciding what goes where and what comes next Build with and alongside AI. Agents, LLMs, and automation are core to the product ...

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 ...

high-level decision-making You will need the following skills: Tech-forward mindset: You should be an early adopter of AI tools (like Gemini, ChatGPT, Claude, or automation platforms) and eager to explore how they can be applied to a specialist engineering business Exceptional literacy: Strong written English ...

Responsibilities Develop and implement internal AI solutions from concept to deployment. Contribute to client projects, applying AI expertise to solve specific business needs. Utilise Google Cloud Platform and Google Workspace to build efficient and scalable AI-driven productivity tools. Stay abreast of emerging AI technologies and trends … Intelligence. Required Skills Vocational AI Experience: Demonstrated practical experience in AI development, potentially through internships, personal projects, or research. Cloud Platform Proficiency: Understanding of Google Cloud Platform (GCP) services relevant to AI development such as Vertex and Gemini. Productivity Solutions: Familiarity with Google Workspace and the ability ...

help design and build a data platfrom that supports live events, fan engagement, and race insights for teams. You’ll be hands-on with Google Cloud Platform, building data pipelines to supply AI models and generative AI tools, working closely with technical and operational teams to turn data into … deploying data pipelines to further develop their data platform, whilst learning AI principles and becoming familiar with model development Developing data pipelines on Google Cloud to support real-time AI use cases Using Python & SQL to ingest & model data, readying it for business use Collaborating with technical and live ...