1 to 25 of 29 Permanent Google Gemini Jobs in the UK

platforms AWS Containerisation and infrastructure-as-code tools Relational and non-relational databases Amazon Bedrock, Sagemaker, Vertex AI Datadog, Databricks, MLFlow, Grafana, OTel Claude, Gemini, ChatGPT, open-weight LLM models Terraform, Docker, K8s RMDBs, Graph DBs, Vector DBs Claude Code Github (and Github actions) Benefits Competitive salary 25 days ...

development using FastAPI, Flask, or Django. Knowledge of Docker and containerized deployments. Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral. Expertise in applying prompt engineering techniques to improve model performance and reliability. Experience in implementing robust evaluation frameworks and Responsible ...

Stack Languages: Go Databases: MongoDB Messaging & Orchestration: Temporal, Kafka APIs: REST, gRPC, protobuf Infrastructure: Kubernetes, GCP Observability: Grafana stack AI/ML: LLMs (OpenAI, Gemini), RAG systems Development Tools: Claude Code, AI-assisted development workflows What Success Looks Like In your first 6 months, you will have Owned ...

robust solutions. Key technical skills : Strong knowledge and deep experience of Python programming, libraries and toolchains Familiarity with large language models (LLMs) like GPT, Gemini, and open-source models such as Lama and MRR Solid understanding of RESTful API design and implementation Git based source control and JIRA Bonus ...

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 ...

Coding Tools: Claude Code CLI, Cursor, OpenAI Codex, Copilot RAG & Vector Stores: Chroma, Weaviate, Pinecone, know where RAG breaks LLM APIs & SDKs: Anthropic, OpenAI, Gemini - prompt design, tool use Python/TypeScript: Primary languages for agent + backend development LangSmith/Observability: Tracing, evaluation, debugging agent runs Cloud Platforms ...

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 ...

Team offsites twice a year Enhanced parental leave Regular team socials Tech Stack AI Backend: TypeScript, Mastra, Vercel AI SDK Model Integration: Anthropic (Claude), Google Gemini, OpenAI, Perplexity Agent Development: Multi-agent orchestration, structured outputs, tool use, streaming, human-in-the-loop workflows Cloud: AWS, BigQuery ...

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 ...

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 ...

most often: o Cloud platforms: Azure, AWS o Data platforms: Databricks, Snowflake, Fabric o BI & viz: Power BI, Tableau o Gen AI: ChatGPT, Copilot, Gemini o Apps: Power Platform o Source control & CI/CD: GitHub, Azure DevOps o Infrastructure as code: Terraform o Code: SQL, Python § Significant experience ...

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 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. ...

Digital roles Requirements Strong hands-on experience in applied AI Enablement, AI Implementation or Digital Transformation Practical experience with tools such as Copilot, ChatGPT, Gemini or equivalent AI platforms Working knowledge of No-Code/Low-Code AI and Automation tools Experience creating AI Agents, assistants, or AI-powered ...

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 ...

deploy, and maintain highly resilient, asynchronous workflows using Azure Durable Functions (Python 3.14). Develop and iterate on agentic systems utilising LiteLLM, Vertex AI (Gemini Preview & GA Models), and Gemini 2 Embeddings. Design and optimise retrieval pipelines using AWS OpenSearch. Containerise applications using Docker and manage infrastructure ...

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 ...

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 ...

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 ...