1 to 25 of 42 Permanent Google Gemini Jobs in England

key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using More ❯

key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using More ❯

Staff Software Engineer, GPU Performance, Core ML link Copy link corporate_fare Google place London, UK Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain. Apply link Copy link Bachelor's degree or equivalent practical experience. 8 years of experience in … and performance bottlenecks. Ability to develop and utilize sophisticated performance models and benchmarks to guide optimization efforts and hardware roadmap decisions. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our … and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to More ❯

of vector databases and advanced database management systems Frontend: NextJS, Zustand, Tailwind, Prisma Python, FastAPI, Llama Index Database: PostgreSQL, PGVector LLMs & AI: Azure OpenAI, Google Gemini Flash, Replica DevOps: GitHub Actions, Checkly, Docker Compose, Azure, GCP, AWS Competitive salary: $Fully remote work environment with flexible scheduling Company-provided More ❯

in fast-paced startup environments Tech Stack Frontend: NextJS, Zustand, Tailwind, Prisma Backend: Python, FastAPI, Llama Index Database: PostgreSQL, PGVector LLMs & AI: Azure OpenAI, Google Gemini Flash, Replica DevOps: GitHub Actions, Checkly, Docker Compose, Azure, GCP, AWS Benefits Competitive salary: $80k-$120k based on experience Equity in a More ❯

in fast-paced startup environments Tech Stack Frontend: NextJS, Zustand, Tailwind, Prisma Backend: Python, FastAPI, Llama Index Database: PostgreSQL, PGVector LLMs & AI: Azure OpenAI, Google Gemini Flash, Replica DevOps: GitHub Actions, Checkly, Docker Compose, Azure, GCP, AWS Benefits Competitive salary: $80k-$120k based on experience Equity in a More ❯

in fast-paced startup environments Tech Stack Frontend: NextJS, Zustand, Tailwind, Prisma Backend: Python, FastAPI, Llama Index Database: PostgreSQL, PGVector LLMs & AI: Azure OpenAI, Google Gemini Flash, Replica DevOps: GitHub Actions, Checkly, Docker Compose, Azure, GCP, AWS Benefits Competitive salary: $50k-$80k based on experience Fully remote work More ❯

in fast-paced startup environments Tech Stack Frontend: NextJS, Zustand, Tailwind, Prisma Backend: Python, FastAPI, Llama Index Database: PostgreSQL, PGVector LLMs & AI: Azure OpenAI, Google Gemini Flash, Replica DevOps: GitHub Actions, Checkly, Docker Compose, Azure, GCP, AWS Benefits Competitive salary: $50k-$80k based on experience Fully remote work More ❯

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 Knowledge More ❯

to enhance collaboration. Capability Development Helpconfigure, build and integrate Generative AI and Agentic AI solutions using technology like Copilot Studio, Azure AI Foundry or Google Vertex AI Studio to provide reliable solutions to client problems. Identify opportunities to accelerate the Generative AI and Agentic AI solutions and continuously develop … training and certifications. Stay informed of the competitive technology landscape and explore the feasibility of deploying other Gen AI solutions such as Amazon Q, Google Gemini or Chat GPT Enterprise. Help translate new learnings to expand the Workplace AI offering and help further our differentiation on the market. More ❯

to enhance collaboration. Capability Development Helpconfigure, build and integrate Generative AI and Agentic AI solutions using technology like Copilot Studio, Azure AI Foundry or Google Vertex AI Studio to provide reliable solutions to client problems. Identify opportunities to accelerate the Generative AI and Agentic AI solutions and continuously develop … training and certifications. Stay informed of the competitive technology landscape and explore the feasibility of deploying other Gen AI solutions such as Amazon Q, Google Gemini or Chat GPT Enterprise. Help translate new learnings to expand the Workplace AI offering and help further our differentiation on the market. More ❯

Experience with Microsoft Azure and Microsoft Power Platform. AI Tools: Demonstrable ability to create custom GPT's and Chatbots using AI Tools (we use Google Gemini API (and Notebook LM), Anthropics Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT). Demonstrate a keen interest in financial products More ❯

Experience with Microsoft Azure and Microsoft Power Platform. AI Tools: Demonstrable ability to create custom GPT's and Chatbots using AI Tools (we use Google Gemini API (and Notebook LM), Anthropics Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT). Demonstrate a keen interest in financial products More ❯

communication, mentoring abilities. LLM and RAG expertise: Building RAG architectures, integrating vector and graph databases. Transformer and LLM architectures: Experience with GPT-4, Claude, Gemini, Llama, Falcon, Mistral. Model performance and optimization: Fine-tuning and optimizing LLMs for quality, latency, sustainability, and cost. Programming and NLP tools: Advanced Python More ❯

or Master's degree in Computer Science, Artificial Intelligence, or a related field. Proven experience in working with Large Language Models (LLMs) such as Gemini, LaMDA, or similar. Strong understanding of prompt engineering principles and techniques. Excellent analytical and problem-solving skills, with a focus on evaluating LLM outputs. More ❯

What you'll need 4+ years of experience developing React and/or React Native applications. 3+ years of TypeScript experience. Experience integrating OpenAI, Google Gemini, or other LLM APIs into web or mobile applications. Hands-on experience with PostgreSQL or other relational databases , including designing and optimising More ❯

Node.js, JavaScript, TypeScript, and React, and play a key role in leveraging AI-powered development tools (such as GitHub Copilot, Cursor, Claude Code, or Gemini) to improve efficiency and code quality. We’re looking for someone who thrives in a dynamic, fast-paced environment and is excited to ship More ❯

Node.js, JavaScript, TypeScript, and React, and play a key role in leveraging AI-powered development tools (such as GitHub Copilot, Cursor, Claude Code, or Gemini) to improve efficiency and code quality. We’re looking for someone who thrives in a dynamic, fast-paced environment and is excited to ship More ❯

of complex technical concepts Familiarity with agent-based architectures, tool use, reinforcement learning, and techniques for evaluating and optimizing agent behavior About the Role Google's software engineers develop innovative technologies that impact billions of users worldwide. Our products handle massive information at scale and extend beyond web search. … opportunities to switch teams and projects as our business evolves. The Domain Applied ML team within Core ML accelerates ML/AI adoption across Google by developing efficient solutions in areas like parameter tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization … manages the hardware, software, ML, and infrastructure for all Google services and Google Cloud, prioritizing security, efficiency, and reliability to shape the future of hyperscale computing, including Google Cloud's Vertex AI and Gemini models. Responsibilities Build and lead a new team of ML engineers and More ❯

will be a key part along every step of that journey. You will also work with Generative AI technologies, such as GPT-4 or Gemini, embedding their capabilities through prompt engineering in our systems. Responsibilities: Design, develop, and test software applications Work closely with other team members to ensure More ❯

training in either Sprinklr, Amazon Connect, Genesys Cloud CX or Microsoft Dynamics 365 Contact Centre. · Proficiency in generative AI tools such as OpenAI GPT, Google Gemini, and Amazon Bedrock. · Strong grasp of customer journey analytics and contact centre optimisation strategies. · Experience integrating CCaaS platforms with enterprise systems like More ❯

complex technical concepts effectively. Familiarity with agent-based architectures, tool use, reinforcement learning, and techniques for evaluating and optimizing agent behavior. About the Job: Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our … and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to … solutions in critical domains like parameter-efficient tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. More ❯

with editing tools (CapCut, Final Cut Pro, Premiere Pro, Adobe Express, etc.) Writing or journalism background is a plus Comfortable using AI tools like, Gemini, ChatGPT, Notion AI, OpusClip, Descript etc. Experience managing high-growth Instagram/LinkedIn/TikTok accounts Can show a portfolio of content you’ve More ❯

with editing tools (CapCut, Final Cut Pro, Premiere Pro, Adobe Express, etc.) Writing or journalism background is a plus Comfortable using AI tools like, Gemini, ChatGPT, Notion AI, OpusClip, Descript etc. Experience managing high-growth Instagram/LinkedIn/TikTok accounts Can show a portfolio of content you’ve More ❯

Salesforce (or tools like MuleSoft) for CRM data extraction. Email APIs (e.g., Microsoft Graph) for automating data workflows. Experience with VoIP and LLM APIs (Gemini, ChatGPT, Claude) to analyse call transcripts and emails. Cloud & Deployment Working knowledge of AWS, Google Cloud, or Azure for data storage and ML More ❯