20 of 20 Permanent Google Gemini Jobs in London

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 ...

actionable business strategies.**Nice To Haves*** Experience in the financial services, fintech, or digital asset sectors* Hands-on experience with specific tooling such as Gemini Enterprise, n8n, or similar workflow automation platforms* Technical proficiency with the modern AI stack, including Python and SQL, familiarity with AI/ML frameworks ...

actionable business strategies.**Nice To Haves*** Experience in the financial services, fintech, or digital asset sectors* Hands-on experience with specific tooling such as Gemini Enterprise, n8n, or similar workflow automation platforms* Technical proficiency with the modern AI stack, including Python and SQL, familiarity with AI/ML frameworks ...

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. ...

5+ years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases (Pinecone, Weaviate, pgvector) Robust API integration experience, including working with third-party datasets ...

Experience: 5+ years in applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases (Pinecone, Weaviate, pgvector) Robust API integration experience, including working with third-party datasets, web APIs ...

stack solutions from inception through to production. This includes engineering agentic workflows in Python and integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem : Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage ...

analytics experience. AI-enhanced document and workflow automation on Cloud Enable agentic workflows, including automated processing of unstructured data and documents as well as Gemini based skills, across client, product, and transaction lifecycles to improve responsiveness, operational efficiency, and control. GenAI/LLM capabilities, document intelligence, workflow automation ...

applications using LLMs, LangChain, RAG pipelines, and other emerging frameworks. Experiment with new AI technologies (e.g. vector databases, embedding models, prompt optimisation, AI agent, Google AI Studio/Gemini) and assess their value to the agency. Managing and improving our cloud infrastructure structure and data pipelines; help deploy ...

PMs. You write clearly and concisely. English fluency for both speaking and writing. Comfortable with AI tooling - You use AI/LLM tools (Claude, Gemini, ChatGPT, Cursor, etc.) as part of your workflow for research, prototyping, and documentation. Nice to have: Exposure to financial services, payments, or fintech – even ...

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. ...

thinking with advancements in the TypeScript ecosystem Experience in or an interest in using AI-assisted tools to support increased productivity, e.g. Claude or Gemini (they use these tools to support engineers, not to build all of their code!) Be able to travel into the City of London once ...

thinking with advancements in the TypeScript ecosystem Experience in or an interest in using AI-assisted tools to support increased productivity, e.g. Claude or Gemini (they use these tools to support engineers, not to build all of their code!) Be able to travel into the City of London once ...

inside a high-calibre engineering organisation and worked closely with product. What you'll do Design and deploy LLM/RAG systems (GPT, Claude, Gemini) powering content generation, semantic search, and personalised learning experiences Build Knowledge Graph capabilities to underpin agentic workflows Own the end-to-end ML lifecycle … practical MLOps: CI/CD for models, version control, observability, retraining pipelines Familiarity with LangChain, Terraform, and modern AI tooling (Cursor, Gemini) is a strong plus Experience with both structured and unstructured data, including preprocessing and feature engineering Stack: Python PyTorch LangChain AWS SQL Terraform CI/CD MLOps ...

global enterprises such as Mars Inc, HP, Arla, and Zappos. With the rise of Shopping Agents like Amazon Rufus, Walmart Sparky, ChatGPT, and Gemini, Azoma enables brands to monitor their presence, uncover consumer trends, and generate optimized content to dominate Agentic Commerce. Our end-to-end workflow empowers businesses ...

Strategy, Implementation & Tooling Audit current AI usage and identify immediate opportunities for productivity gains. Select and implement tools such as Copilot Pro, Gemini, Claude, ensuring legal and compliance alignment. Provide clear, commercially‐driven recommendations on which tools the business should and should not adopt. Build an AI roadmap aligned ...

machine learning models using frameworks such as PyTorch, TensorFlow, or scikit-learn. LLM Experience: Proven experience working with large language models (e.g. GPT, Claude, Gemini) in production environments, including prompt engineering, evaluation, and safety considerations. Strong Engineering Skills: Proficiency in Python and TypeScript, with experience building APIs, microservices … cloud-native applications. Modern AI Tooling: Familiarity with emerging AI development tools such as Cursor and Gemini is highly desirable. Cloud & MLOps: Practical experience deploying AI solutions on AWS, including CI/CD, model versioning, observability, and retraining pipelines. Data Fluency: Skilled in working with structured and unstructured data ...

improve decision-making, operational efficiency, and customer outcomes. The Role You will lead teams delivering data pipelines, analytics platforms, and AI-powered solutions on Google Cloud. A key focus will be driving the adoption of large language models (e.g. Gemini) to enable intelligent automation and natural language interactions. … Scala) Experience delivering cloud-native data/AI platforms Deep knowledge of GCP (BigQuery, Dataflow, Pub/Sub, Vertex AI) Experience with LLMs (e.g. Gemini or similar) Familiarity with Airflow/Composer and dbt Understanding of data governance and financial services regulation Strong stakeholder management skills What ...

Department, spanning both in-house AI solutions and the development of our Marketing Effectiveness tooling. You’ll own strategic relationships with innovation partners like Google and third party AI consultancies. You’ll also act as the bridge between business challenges and technical delivery teams, ensuring that ideas become reality. … documentation, and leading user enablement initiatives. Support department leads in restructuring workflows to accommodate new AI capabilities. Manage strategic relationships with external partners (e.g., Google, AI consultancies) and staying ahead of industry shifts. Act as the "face of AI" within the agency (~80/20 delivery/advocacy split ...

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 ...