426 to 450 of 806 Google Jobs in London

past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well ...

Design Lead, Head of Engineering/AI, and a team of engineers and AI specialists who have worked at Uber, Apple, Match Group, Microsoft, Google, and Meta. Interested? We're not looking for a CV-perfect candidate. We're looking for someone who reads this and thinks 'this is exactly ...

past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world‐class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well ...

maintain audiences.Knowledge of mobile advertising and UA ecosystem: Familiarity with mobile advertising, user acquisition, measurement, attribution, and major platforms such as Meta, AppLovin, Google, and the broader mobile ad tech ecosystem.Basic understanding of machine learning applications: Awareness of how machine learning can support audience targeting, personalization, predictive insights, monetization optimization ...

upskilling them in new ways of working. We are proud that Paloma is: Loved by families, with 4.9 out of 5 Trustpilot and Google ratings Care Quality Commission (CQC) registered and quality-focused Clinically-led, with a team of 130 people, including over 80 clinicians supporting families through their assessment ...

promotions, native ads, and more. We are committed to helping publishers drive new revenue and take back the Internet from ad tech giants like Google, Amazon, and Facebook. Kevel was founded in 2010 in Durham, North Carolina. We embrace remote working culture with our entire team being spread across ...

Expertise in modern software development tools/ways of working (e.g. git/GitHub, devops tools, metrics/monitoring, ...) Cloud expertise (e.g., AWS, Google Cloud, Azure), including infrastructure-as-code tools and scalable compute technologies, such as Google Batch and Vertex Experience with CI/CD implementations using ...

corporate_fare Google place London, UK Required qualifications Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 5 years of experience with software development using Python or similar coding languages. Experience building pipelines for structured and unstructured data using both vector databases and RAG-like … power enterprise AI solutions. Experience taking production‐grade AI‐driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform). Experience leading technical discovery sessions with customers. Ability to communicate in French or German fluently as this is a customer‐facing role that ...

Generation (RAG) pipelines to enable LLMs to safely and accurately use enterprise data. Implement and integrate GenAI capabilities using platforms such as AWS Bedrock, Google Vertex AI, Azure AI, or equivalent services. Develop robust data processing workflows using batch and streaming systems. Design and implement testing strategies across data … Java or JVM-based programming languages & good working knowledge of python. Experience building and operating data pipelines and analytical systems using technologies such as Google BigQuery, Amazon Athena, or ClickHouse. Experience with distributed data processing frameworks such as Apache Spark and/or Apache Flink. Experience with messaging and streaming ...

Develop and implement Retrieval-Augmented Generation (RAG) architectures, vector search capabilities and long-term agent memory solutions. Deploy, monitor and improve AI agents using Google's managed agent runtime and foundation models, including Gemini and Claude. Create intuitive, scalable user interfaces using modern front-end technologies such as React, Next.js … Generative AI solutions in production environments. Strong hands-on expertise with Large Language Models (LLMs), AI agents and modern orchestration frameworks. Experience working with Google Cloud AI services, particularly Gemini-based technologies and ecosystems. Advanced Python development skills, with exposure to TypeScript considered highly advantageous. Full-stack software engineering experience ...

equity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts, such as Certified Kubernetes Application Developer (CKAD), Google Associate Cloud Engineer Certification, or AWS Certified Solutions Architect, or equivalent experience. Hands‐on practical experience delivering system design, application development, testing, and operational stability … domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure, at meaningful scale. Preferred Qualifications, Capabilities, and Skills Expertise in the Kubernetes operator pattern. Expertise deploying infrastructure ...

multi‐agent systems, agentic design patterns (ReAct, planning, reflection, tool use, human‐in‐the‐loop), and frameworks (LangGraph, CrewAI, MAF, OpenAI Agents SDK, Google ADK). Proven ability to architect reliable agentic workflows with memory, state management and safe multi‐step task execution at scale. Model Context Protocol (MCP) & Interoperability … Technical Proficiency – programming in Python, TensorFlow, PyTorch or similar; modern LLM/agent frameworks; cloud AI platforms (Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI); vector databases; containerization and orchestration (Docker, Kubernetes); distributed computing. Architecture Design – end‐to‐end design of Generative and Agentic AI architectures encompassing data ...

experience with SQL, Python, and ETL/ELT development . 3+ years of experience with cloud data platforms such as AWS, Azure, or Google Cloud Platform . 3+ years of experience with Spark, Databricks, Snowflake, Hadoop, or other big data technologies . Nice to Have: Experience with orchestration tools such … quality, and metadata management. Experience working in Banking, Financial Services, Healthcare, Retail, or other enterprise domains. AWS Certified Data Analytics, Azure Data Engineer Associate, Google Professional Data Engineer, or Databricks certification is preferred. Our people are the most critical component of our long-term success and their health and wellbeing ...

value realized by automation. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts, such as Certified Kubernetes Application Developer (CKAD), Google Associate Cloud Engineer Certification, or AWS Certified Solutions Architect Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced … domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test ...

# Partner Forward Deployed Engineer, Google Cloud (German, French)at Google • London, UKBack to jobs1. Home2. Jobs3. UK4. Partner Forward Deployed Engineer, Google Cloud (German, French)1d agoG## Partner Forward Deployed Engineer, Google Cloud (German, French)Google2747Software Engineering, Cloud, Artificial IntelligenceFull-timeLondon, UKApply Job### Job DescriptionAs a Forward Deployed Engineer … Google Cloud Consulting organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly ...

both technical and non-technical stakeholders & will translate business requirements into Data Science deliverables. The opportunity to work with leading data engineering technologies, including Google Vertex AI tools, Google BigQuery, BigQuery Pipelines, and Airflow, with leading Data Science tools and emerging technologies for model building and deployment. Opportunities to develop ...

/ML Senior Software Engineer, Data Optimization and Platform corporate_fare Google place London, UK Bachelor’s degree or equivalent practical experience. 5 years of experience with data structures and algorithms in Python. 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating … complex, matrixed organization. Experience in Gen AI. Experience in data optimization and data platforms. Experience with research to production. About the job Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking ...

Google is seeking a research-focused Software Engineer embedded to advance AI research and large-scale experiments. You will prototype architectures, design training pipelines, and work across teams to push research into production. You will collaborate with researchers, contribute to open-source work, and publish findings to the broader community ...

seeking a Cloud Security Architect for a 6-month contract with hybrid remote work. You will design and oversee security across cloud platforms, primarily Google Cloud Platform, with exposure to Azure. The role sits in Enterprise Security Architecture & Enablement, focusing on policies, standards and best practices for cloud security ...

happy to discuss flexible working! Top 3 skills needed for this role: Strong expertise in designing, implementing and governing robust tracking frameworks using Google Tag Manager Clear track record of turning data into clear, ac click apply for full job details ...

Google DeepMind researchers are embedded across projects to prototype AI systems, run large-scale experiments, and translate findings into scalable infrastructure. You will collaborate with universities and research programs to push the boundaries of AI while delivering practical, high-impact solutions. Responsibilities include developing and testing ML-enabled software, reviewing ...

focuses on Microsoft Entra ID, SSO integrations, authentication technologies, and SaaS identity management. You will configure, troubleshoot and improve identity solutions across Microsoft and Google environments, ensuring secure access across the organisation. A hands-on position requiring strong scripting and cloud identity skills. #J-18808-Ljbffr ...

ASAT group. You will explore alignment techniques for frontier models and contribute to production-ready safety systems, collaborating with cross-functional teams across Google DeepMind. The role requires a Bachelor’s degree in Computer Science or related field, and at least 3 years of software development, ML engineering ...

will develop and deliver the organisation’s AI workplace strategy, aligning with business goals and technology roadmaps. Lead AI enablement across Microsoft 365 Copilot, Google Workspace AI, and other vendor platforms, driving adoption and ensuring governance. You will assess environments, design AI use cases, and partner with vendors to integrate ...

design and implement modern workplace solutions that enhance employee productivity. You will lead projects, advocate for automation, and support various cloud-based applications including Google Workspace and Slack. Ideal candidates will have expert experience in SaaS applications, public cloud systems, and strong documentation skills. Join a diverse team committed ...