1 to 25 of 5,219 Google Jobs in London

Experience with back-end web application frameworks (Django, FastAPI, etc.). Experience with language models and agentic workflows (e.g., Langchain, AutoGPT). Knowledge of model evaluation metrics and techniques. Google Cloud (Cloud Functions, AppEngine, PubSub, Stackdriver, etc.). Docker, Kubernetes. Typescript, NodeJS, React, Webpack, etc. Java, C#. Experience within the advertising/media agency space. Terraform Life at WPP Media More ❯

Senior Technical Consultant, Google Cloud Senior Technical Consultant, Google Cloud 1 month ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. CloudWerx is looking for a SENIOR TECHNICAL CONSULTANT, GOOGLE CLOUD to join our collaborative PROFESSIONAL SERVICES TEAM , remotely. As a Senior Technical Consultant specializing in Google Cloud Platform, you will … be a seasoned technical leader within our Google Cloud consulting practice. Leveraging your deep expertise in the GCP environment, you will be instrumental in guiding clients through their cloud adoption journey, ensuring successful implementation of scalable, secure, and cost-effective solutions. This role requires a highly experienced and hands-on technical professional who can balance strategic thinking with practical execution. … Qualifications, Your Influence To be successful in the role, you must possess the following skills Technical Expertise: Deep and demonstrable hands-on experience architecting, implementing, and managing solutions on Google Cloud Platform (GCP). Proficiency in designing and deploying scalable, highly available, and cost-optimized cloud architectures on GCP. Strong programming and scripting skills (e.g., Python, Go, Terraform, Shell scripting More ❯

integrating LLMs into applications. Maintain up-to-date knowledge of different LLM providers and their strengths and limitations (e.g., OpenAI's GPT and O families, Anthropic's Claude family, Google's Gemini, xAI's Grok, as well as open-source LLMs like LLama, DeepSeek, and Mistral). Programming Proficiency : Competence and hands-on experience in at least one of the … doubling its ARR over the 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-funded database companies in history. More ❯

Experience with performance testing tools like JMeter or LoadRunner. Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Experience in Agile/Scrum development environments. Why Us? Here at HL, we're the UK's number 1 investment platform for private investors, based in Bristol. For more More ❯

Senior Technical Consultant, Google Cloud Join to apply for the Senior Technical Consultant, Google Cloud role at ESJAPO SL Senior Technical Consultant, Google Cloud 2 days ago Be among the first 25 applicants Join to apply for the Senior Technical Consultant, Google Cloud role at ESJAPO SL Get AI-powered advice on this job and more exclusive features. CloudWerx is … looking for a SENIOR TECHNICAL CONSULTANT, GOOGLE CLOUD to join our collaborative PROFESSIONAL SERVICES TEAM , remotely. As a Senior Technical Consultant specializing in Google Cloud Platform, you will be a seasoned technical leader within our Google Cloud consulting practice. Leveraging your deep expertise in the GCP environment, you will be instrumental in guiding clients through their cloud adoption journey, ensuring … qualifications, your influence To be successful in the role, you must possess the following skills Technical Expertise: Deep and demonstrable hands-on experience architecting, implementing, and managing solutions on Google Cloud Platform (GCP). Proficiency in designing and deploying scalable, highly available, and cost-optimized cloud architectures on GCP. Strong programming and scripting skills (e.g., Python, Go, Terraform, Shell scripting More ❯

Architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's • Fundamental knowledge of ML … AI, NLP, and Large Language Models (LLM) • Comfortable working with Python and Jupyter Notebooks • Should have in-depth knowledge and familiarity with cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and More ❯

to build and deliver high quality, scalable and secure solutions Implementations on and migration to Cloud services on at least one of the hyper-scale Cloud platforms - Microsoft Azure, Google Cloud, AWS Strong understanding and experience of quality engineering techniques including test-driven development (TDD), Behaviour-driven development (BDD), integration testing and performance testing Some experience with AI tools (one More ❯

and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up More ❯

data technologies such as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud-native services for data storage, processing, and analytics. Data Quality and Governance: Implement and oversee data governance, quality, and security measures. Monitoring, Optimization and Troubleshooting More ❯

Good data analysis skills to uncover actionable insights. Good understanding of data integration tools such as Workato, Mulesoft, etc. Experience working with APIs in cloud platforms (e.g., AWS, Azure, Google Cloud). Experience with third-party AI tools and platforms, such as Microsoft Copilot Studio. Knowledge of coding and data manipulation (e.g., json, REST API, Python, SQL). Experience using More ❯

design Tech Profile/Essential Skills Good knowledge of Infrastructure as Code concepts (IAC) and basics of Microservices architecture Knowledge of Cloud Technology basics across CSPs – Amazon, Microsoft, and Google (at least one) Knowledge and implementation experience of DevOps, CI/CD, DevSecOps concepts Good level of understanding of Architecture principles, design methodologies and their applicability Hands-on experience of More ❯

missions of our clients in the ever-evolving world of Social engine marketing, programmatic, social media, Commerce and affiliates. If you're ready to move at the speed of Google, Facebook, and Amazon, have an entrepreneurial spirit, get excited about finding smarter ways to do things, and demand performance for your clients, we'd love to meet you. We'll … of Excellence drives performance solutions across several channels including social, social, programmatic, commerce and affiliates. We have 30 different nationalities in our teams and work closely with teams from Google, Meta, TradeDesk and Amazon to deliver innovative solutions that helps deliver businessresults to our clients. Job Description We are seeking a highly motivated and experienced AI/Data Science Product … degree in Computer Science, Data Science, Engineering, Marketing, or a related field Bonus Points: • Experience working in or with performance media agencies• Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure)• Familiarity with marketing automation platforms and APIs• Contributions to open-source AI projects or publications Additional Information Publicis Media has fantastic benefits on offer to all of our More ❯

strive for excellence, and proactively manage stakeholder relationships. Capability Development Configure, build, and integrate Generative AI and Agentic AI solutions using tools like Copilot Studio, Azure AI Foundry, or Google Vertex AI Studio. Identify opportunities to accelerate AI solutions and develop expertise through training and certifications. Stay informed of the competitive landscape and explore deployment of other Gen AI solutions … like Amazon Q, Google Gemini, or ChatGPT Enterprise. Translate new learnings to expand our Workplace AI offerings and market differentiation. Operational Excellence Maintain skills and availability to respond to new client opportunities. Contribute to practice development, including operations, recruitment, and team activities. Complete operational tasks accurately and proactively communicate to ensure smooth execution. Business Development Support existing business opportunities, such More ❯

SQL Experience with enterprise level CRM and/or ERP platforms (e.g. Salesforce) Knowledge of data governance, including data quality, security, and compliance. Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and cloud-based data storage (e.g., S3, Google Cloud Storage) Ability to build and maintain reliable data pipelines to integrate data from multiple sources. Experience working in Sales More ❯

and developing data pipelines, ensuring data integrity, and enabling data-driven decision-making. The ideal candidate will have a strong background in data engineering and analytics, with expertise in Google Cloud Platform (GCP) services. This role requires a blend of technical proficiency, analytical thinking, effective project & time management, and communication skills. You will have the opportunity to engage in diverse … demonstrated in data environments Excellent Python & SQL and data transformation skills (e.g. ideally proficient in dbt or similar) Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure Good attention to detail to highlight and address data quality issues Excellent time management and proactive problem-solving skills What’s in it for you: In-office More ❯

and proactively managing stakeholder relationships 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 expertise through 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. Operational Excellence Ensure your skills and availability are maintained proactively to respond to new client delivery More ❯

and proactively managing stakeholder relationships 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 expertise through 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. Operational Excellence Ensure your skills and availability are maintained proactively to respond to new client delivery More ❯

languages such as Python, R, or Java. Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or Keras. Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms. Solid understanding of AI concepts, algorithms, and methodologies. Knowledge of designing large scale AI solutions, data integration, cleansing, and transformation techniques. More ❯

Golang. Experience with columnar, analytical cloud data warehouses (e.g., BigQuery, Snowflake, Redshift) and data processing frameworks like Apache Spark is essential. Experience with cloud platforms like AWS, Azure, or Google Cloud. Strong proficiency in designing, developing, and deploying microservices architecture, with a deep understanding of inter-service communication patterns. Extensive experience utilizing a remote procedure call (RPC) framework is essential More ❯

distributed group tackling novel R & D problems that directly impact customers. OUR TECHNOLOGY STACK: Python • Agentic tools (Autogen, Semantic Kernel, LangChain) • SQL • MongoDB • Third-party LLM APIs • LiteLLM • MLflow • Google Cloud Platform • Docker • PyTorch • Hugging Face Transformers • SPARQL • Kubernetes WHAT YOU WILL BE DOING AT BEAMERY Join us at the forefront of transforming how organisations manage talent and plan their More ❯

field (or equivalent work experience). Proven experience as a Cloud SRE/Consultant or similar role, with a focus on public cloud platforms such as Azure, AWS or Google Cloud. Strong understanding of cloud architecture concepts, including virtualisation, containers, microservices, and serverless computing. Proficiency in infrastructure-as-code (IaC) tools such as Terraform, Bicep, CloudFormation, or Azure Resource Manager. More ❯

e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). Technology deployment- proven experience using technologies such as Docker, Kubernetes, CI/CD platforms (e.g. Jenkins, Tekton, ArgoCD), GitHub, to deploy complex More ❯

e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). Technology deployment- proven experience using technologies such as Docker, Kubernetes, CI/CD platforms (e.g. Jenkins, Tekton, ArgoCD), GitHub, to deploy complex More ❯

and model building with models such as gradient boosted tree algorithms, Deep Learning in particular transformer architectures. Strong experience in working in cloud computing environments such as AWS (preferred), Google Cloud or Microsoft Azure. Strong experience in developing software in Python and demonstrated ability to create machine learning models and new feature prototypes. A Bachelors/Masters in a quantitative More ❯

Qodea is Europe's leading Google Cloud specialist consultancy. We're a team that's energised by innovation and delivering exceptional results for our clients. We deliver cutting edge solutions across data and analytics, AI, cloud infrastructure or security that drive digital transformation and enable our customers to scale, modernise and thrive. In joining Qodea, you'll work alongside specialists … who are eager to learn and grow, so if you want to supercharge your career, join Qodea! What you'll do: Develop and maintain automated data processing pipelines using Google Cloud: Design, build, and maintain data pipelines to support data ingestion, ETL, and storage Build and maintain automated data pipelines to monitor data quality and troubleshoot issues Implement and maintain … skills Demonstrable experience of utilising strong communication and stakeholder management skills when engaging with customers Significant experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Strong proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data technologies such as Hadoop, Spark, or Hive Familiarity More ❯