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 ❯
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, GoogleGemini or Chat GPT Enterprise. Help translate new learnings to expand the Workplace AI offering and help further our differentiation on the market. 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 ❯
AI Experience: You have demonstrable experience building and shipping meaningful projects (at work or independently) using modern AI tools and techniques (e.g., OpenAI, Anthropic, Gemini APIs; RAG, agent frameworks, prompt engineering). Showcasing this via a portfolio, open-source contributions (e.g., a GitHub repo), or detailed project walkthroughs is More ❯
AI Experience: You have demonstrable experience building and shipping meaningful projects (at work or independently) using modern AI tools and techniques (e.g., OpenAI, Anthropic, Gemini APIs; RAG, agent frameworks, prompt engineering). Showcasing this via a portfolio, open-source contributions (e.g., a GitHub repo), or detailed project walkthroughs is 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 GoogleGemini API (and Notebook LM), Anthropics Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT). Demonstrate a keen interest in financial products More ❯
london (city of london), south east england, united kingdom
McGregor Boyall
Experience with Microsoft Azure and Microsoft Power Platform. AI Tools: Demonstrable ability to create custom GPT's and Chatbots using AI Tools (we use GoogleGemini API (and Notebook LM), Anthropics Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT). Demonstrate a keen interest in financial products More ❯
Strong skills in Python programming at least 5 years commercial experience Demonstrable ability to create custom GPTs and Chatbots using AI tools such as GoogleGemini API (and Notebook LM), Anthropic Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT. Experience with Microsoft Azure and Microsoft Power Platform. 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 ❯
london, south east england, united kingdom Hybrid / WFH Options
Haystack
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 ❯
Strong writer and storyteller, you know how to explain complex products in a simple, compelling way Concrete experience using generative AI (e.g., ChatGPT, Claude, Gemini) in product marketing workflows: from messaging drafts to content generation, research, and campaign support Deep familiarity with enterprise buyer journeys (IT, Ops, Finance) Comfortable More ❯
workspace, purpose built LLMs to be incredibly accurate and able to influence business decisions. The product is already far more accurate than OpenAI/Gemini/Salesforce or others within their space. The leadership - highly experienced leaders with 17+ years in the tech scene, extremely passionate about harnessing AI More ❯
london, south east england, united kingdom Hybrid / WFH Options
Okto Search
workspace, purpose built LLMs to be incredibly accurate and able to influence business decisions. The product is already far more accurate than OpenAI/Gemini/Salesforce or others within their space. The leadership - highly experienced leaders with 17+ years in the tech scene, extremely passionate about harnessing AI More ❯
applications powered by large language models (LLMs). If you're someone who gets excited by prompt engineering, loves playing with OpenAI, Bedrock, or Gemini, and knows your way around AWS, this one's for you. What you'll be doing: Designing and refining prompts to get the best … possible outputs from LLMs Working with platforms like OpenAI , Amazon Bedrock , and GoogleGemini Deploying and managing solutions on AWS Collaborating with a cross-functional team to integrate LLMs into live products and services Bringing ideas to life quickly-this is a contract role, so we're looking … your way around AWS and can ship reliable, scalable cloud solutions Have played with (or ideally deployed real-world solutions using) OpenAI, Bedrock, or Gemini Thrive in fast-paced environments and are happy getting stuck into technical challenges with minimal fluff Next steps: Our Talent Acquisition team aims to 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 ❯
worldwide. The Role As a Staff Backend Engineer, you'll play a critical role in scaling an AI-first platform, enabling foundation models like Gemini Pro to analyze multimodal data at scale. You'll work closely with the founders and engineering leadership to design robust, high-performance architectures that 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 ❯
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 ❯
