1 to 25 of 2,131 Permanent Google Jobs in the UK

following Programming Languages: Proficiency in languages such as: C++, Java, Python, JavaScript, C# Systems & Tools: Knowledge of or experience with: Linux/Unix operating systems Cloud Technologies (AWS, Azure, Google Cloud) DevOps tools (e.g., Docker, Kubernetes) Version Control Systems (e.g., Git) Machine Learning/AI technologies Software Development: Understanding of software development methodologies, including Agile and DevOps practices. Networking & Cybersecurity 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 ❯

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 working in an agile development team or on open-source development projects. Experience with optimization, algorithms, or related quantitative processes. Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud Experience with cloud deployment technology (Docker, Ansible, Terraform, etc.) is also a plus. Experience with DevOps and tools like Azure DevOps Experience with AI-related projects/products or More ❯

and performant front-end applications using ReactJS, focusing on UX/UI best practices. Integration & Automation: Architect and maintain integrations with external APIs such as AWS, Stripe, Zendesk, Twilio, Google Analytics, Google Ads, HMRC, etc... Code Quality & Reviews: Enforce code quality through rigorous reviews, automated testing, and CI/CD processes. Project Management: Collaborate with cross-functional teams to gather More ❯

solving skills and the ability to make sound technical decisions. Preferred: Master's degree in Computer Science, Engineering, or a related field. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with microservices architecture and RESTful API design. Strong understanding of database technologies (SQL and NoSQL). Experience with Agile/Scrum More ❯

would be beneficial for this role. Including any of the following: Programming Languages C++ Java Python JavaScript C# Systems & Tools Linux/Unix operating systems Cloud Technologies (AWS, Azure, Google Cloud) DevOps tools (e.g., Docker, Kubernetes) Version Control Systems (e.g., Git) Machine Learning/AI technologies Software Development Understanding of software development methodologies, including Agile and DevOps practices. Networking & Cybersecurity 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 ❯

to languages such as: • C++, Java, Python, JavaScript, C# Systems & Tools: Knowledge of or experience with any of the following: Linux/Unix operating systems Cloud Technologies (AWS, Azure, Google Cloud) DevOps tools (e.g., Docker, Kubernetes) Version Control Systems (e.g., Git) Machine Learning/AI technologies Software Development: Understanding of software development methodologies, including Agile and DevOps practices. Networking & Cybersecurity More ❯

to languages such as: • C++, Java, Python, JavaScript, C# Systems & Tools: Knowledge of or experience with any of the following: Linux/Unix operating systems Cloud Technologies (AWS, Azure, Google Cloud) DevOps tools (e.g., Docker, Kubernetes) Version Control Systems (e.g., Git) Machine Learning/AI technologies Software Development: Understanding of software development methodologies, including Agile and DevOps practices. Networking & Cybersecurity More ❯

to languages such as: • C++, Java, Python, JavaScript, C# Systems & Tools: Knowledge of or experience with any of the following: Linux/Unix operating systems Cloud Technologies (AWS, Azure, Google Cloud) DevOps tools (e.g., Docker, Kubernetes) Version Control Systems (e.g., Git) Machine Learning/AI technologies Software Development: Understanding of software development methodologies, including Agile and DevOps practices. Networking & Cybersecurity More ❯

engineer at our AI product company, you will define and create the platform for deploying, managing, and optimizing our distributed systems across on-premises, multiple cloud environments (AWS, Azure, Google Cloud), and Kubernetes. Our system leverages multiple LLMs, Graph and Vector Databases and integrates data from multiple sources to power our AI solutions. You will ensure our infrastructure is robust … Management of infrastructure Requirements Preferred M.Sc or Ph.d degree in Computer Science or a related field At least 7 years of experience deploying and managing cloud infrastructure (AWS, Azure, Google Cloud) At least 3 years experience in working with kubernetes environments Proficient in managing and scaling Kubernetes clusters, including monitoring, troubleshooting, and ensuring high availability Experience with cloud-native technologies More ❯

Australia, and New Zealand-including many of the world's largest Fortune 1000 and Global 2000 companies. With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security! We 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 ❯

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 ❯

Engineering, or a related field Experience in software testing, with a focus on automation testing. Strong expertise in Selenium and Java programming. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Proficiency in DevOps tools and practices (e.g., Jenkins, Docker, Kubernetes). Solid understanding of testing frameworks and tools (e.g., TestNG, JUnit). Excellent leadership, communication, and interpersonal skills. More ❯

Join to apply for the Senior Software Engineer - Data role at Count Continue with Google Continue with Google Join to apply for the Senior Software Engineer - Data role at Count Get AI-powered advice on this job and more exclusive features. Sign in to access AI-powered advices Continue with Google Continue with Google Continue with Google Continue with Google … Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google This range is provided by Count. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range About Us We are a fast-growing team on More ❯

out more about joining our team KEY RESPONSIBILITIES As our Head of Data Platform, you will be instrumental in the successful migration of our existing Azure data warehouse to Google BigQuery, laying the foundation for a modern, scalable, and reliable data platform. You'll work closely with stakeholders across the business to ensure that our data architecture supports business intelligence … Your team will also be responsible for establishing and enforcing DevOps and FinOps best practices. KEY RESPONSIBILITIES Lead the end-to-end migration of the existing data warehouse to Google BigQuery, guiding the internal team and collaborating effectively with our implementation partner. Own and evolve the data platform strategy, architecture, and roadmap. Ensure robust data governance, quality, and security throughout … experience for this role: Essential 5+ years of experience working in data engineering, data warehousing, or a similar field. Proven experience delivering a significant data warehouse migration, ideally to Google BigQuery. Deep hands-on expertise with BigQuery and other Google Cloud Platform (GCP) services, such as Cloud Storage, Dataflow, Pub/Sub, Dataplex, and IAM. Proven track record of leading More ❯

cloud environments. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Adaptability and enthusiasm for handling changing priorities. Experience with other cloud platforms (e.g., AWS, Google Cloud). Knowledge of Agile methodologies. The Where and When This is a full-time (35 hours/week) role based in Manchester or Milton Keynes. We operate a flexible More ❯

cloud environments. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Adaptability and enthusiasm for handling changing priorities. Experience with other cloud platforms (e.g., AWS, Google Cloud). Knowledge of Agile methodologies. The Where and When This is a full-time (35 hours/week) role based in Manchester or Milton Keynes. We operate a flexible More ❯

security. We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance. Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. The Dynatrace platform uses cutting-edge technologies, including our own Davis hypermodal AI, to help our customers modernize and automate More ❯

integration testing and when to use them. You are familiar with trunk-based development in git. Experience with back-end web application frameworks (Django, FastAPI, etc) NICE TO HAVE 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 If you are ready to More ❯

Has an open, honest, and compassionate personality, shows empathy, and demonstrates a proactive approach to tasks and challenges Preferred Qualifications Experience working with other cloud platforms such as Azure, Google Cloud Platform (GCP), or others Familiarity with containerization technologies (e.g., Docker, Kubernetes) and microservices architecture Knowledge of DevOps practices and tools for automation, deployment, and monitoring Active participation in open More ❯

of robust cybersecurity systems. Training and Development: Throughout this programme, you'll work towards acquiring certifications in cutting-edge technologies, such as AWS (Amazon Web Services), Microsoft Azure, or Google Cloud. You will also receive comprehensive training in areas like data analytics, cybersecurity, cloud computing, and business intelligence tools. These will be supported by practical, on-the-job learning and More ❯

of robust cybersecurity systems. Training and Development: Throughout this programme, you'll work towards acquiring certifications in cutting-edge technologies, such as AWS (Amazon Web Services), Microsoft Azure, or Google Cloud. You will also receive comprehensive training in areas like data analytics, cybersecurity, cloud computing, and business intelligence tools. These will be supported by practical, on-the-job learning and More ❯