76 to 100 of 3,723 Google Jobs in the UK

in deploying AI models or microservices. Cloud Services: Familiarity with cloud platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure Machine Learning is a plus. Serverless Architectures: Exposure to serverless architectures, ideally edge compute environments such as Cloudflare Workers. Problem-Solving Skills More ❯

is under the hood of most modern frameworks (including websockets) Experience with one or more industry standard Cloud Service Providers, including AWS, Azure, or Google Cloud Experience delivering high-quality products in a large-scale commercial software development environment Experience with Kubernetes and commercial public cloud services deployments Understanding of More ❯

interest in the latest in Gen AI and LLMs, algorithms, and technologies (e.g., NLP, computer vision, predictive analytics). Experience with cloud platforms (AWS, Google Cloud, Azure) and experience with microservices, containerisation (Docker, Kubernetes), DevOps, and CI/CD pipelines. You have hands-on experience with Python, React, Typescript, and More ❯

is under the hood of most modern frameworks (including websockets) Experience with one or more industry standard Cloud Service Providers, including AWS, Azure, or Google Cloud Experience delivering high-quality products in a large-scale commercial software development environment Experience with Kubernetes and commercial public cloud services deployments Understanding of More ❯

is under the hood of most modern frameworks (including websockets) Experience with one or more industry standard Cloud Service Providers, including AWS, Azure, or Google Cloud Experience delivering high-quality products in a large-scale commercial software development environment Experience with Kubernetes and commercial public cloud services deployments Understanding of More ❯

Deep expertise in modern software development tools/ways of working (e.g. git/GitHub, DevOps tools, metrics/monitoring, ) Cloud experience (e.g., AWS, Google Cloud, Azure), including infrastructure-as-code and relevant tools and libraries such as Terraform, Ansible, and Packer Experience with CI/CD implementations using git More ❯

test automation will be beneficial. Process Automation, BPM and Digital Platforms, e.g. Pega. Cloud technology (knowledge of any or all of Azure, AWS and Google would be beneficial). Experience of handling information security and privacy challenges. Interest and awareness in emerging technologies. Experience of vendor packages. The following are More ❯

test automation will be beneficial Process Automation, BPM and Digital Platforms, e.g. Pega Cloud technology (knowledge of any or all of Azure, AWS and Google would be beneficial) Experience of handling information security and privacy challenges Interest and awareness in emerging technologies Experience of vendor packages. An appreciation of Artificial More ❯

to achieve our goals: Bachelors' degree in Computer Science, Software Engineering or related discipline. Experience in industry within software engineering. Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes), including infrastructure-as-code Application experience of CI/CD implementations using git and a common CI/CD stack (e.g. Jenkins More ❯

as the destination We look forward to meeting you and to discussing how we can grow together. Overview We are looking for an advanced Google expert who is experienced in Google Cloud Platform and working within the Google Marketing Platform. This role will be working predominantly in GCP where you … will be liaising with the Google Cloud team and being hands on in project work for clients. There will also be 2 direct reports that you will be responsible for and their remit is managing the technical elements of the Google Marketing Platform. Responsibilities Technical support for Google Cloud projects … the support services by delivering quality results often with enterprise level websites covering multi-market with cross-channel offerings solutions As part of the Google Marketing Practice, you would be leading the way of embracing the full Google Marketing Platform & Google Cloud stack You would be responsible for delivering rollout More ❯

collaborate effectively with a remote team. Familiarity with version control systems like Git. Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of database management systems, including MySQL, PostgreSQL, or MongoDB. Familiarity with DevOps practices and tools, such as Docker, Kubernetes, or Jenkins. Experience handling More ❯

Experience of Data Storage applications, such as: o Mongo o SQL o DynamoDB o ElasticDB Experience with cloud services such as AWS, Azure or Google cloud Knowledge of Machine Learning and Artificial Intelligence applications More ❯

ll have: Technical Proficiency: Strong skills in programming languages such as Python, R, and SQL. Experience with Cloud Services: Familiarity with AWS, Azure, or Google Cloud Platform. Data Visualization: Expertise in data visualization tools (e.g., Tableau, Power BI) and the ability to create compelling visual narratives. Data Modelling: Strong understanding More ❯

Spring Boot, Hibernate, and RESTful APIs. Experience with microservices architecture and containerization (Docker, Kubernetes). Proficiency in cloud platforms such as AWS, Azure, or Google Cloud. Hands-on experience with databases (SQL/NoSQL). Expertise in CI/CD pipelines and DevOps practices. Strong problem-solving and analytical skills. More ❯

Information Technology, Engineering, or a related field. Familiarity with version control systems like Git and GitHub. Basic understanding of cloud platforms such as AWS, Google Cloud, or Microsoft Azure. Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes. Experience with scripting languages like Python, Bash, or Ruby. Familiarity More ❯

Drive the engineering strategy, architecture, and technical direction of banking platforms and financial applications , ensuring compliance with regulatory and security standards. Deep expertise in Google Cloud Platform (GCP) with strong knowledge of cloud-native solutions, networking, storage, and infrastructure provisioning , particularly for financial services applications . While this is not More ❯

quality, accurate work. Ability to manage multiple projects and work under tight deadlines when needed. Desirable Requirements: Experience with cloud platforms such as AWS, Google Cloud and Azure (or other similar systems). Knowledge of data governance and compliance regulations (e.g., GDPR). Additional Information: The company we are partnered More ❯

quality, accurate work. Ability to manage multiple projects and work under tight deadlines when needed. Desirable Requirements: Experience with cloud platforms such as AWS, Google Cloud and Azure (or other similar systems) Knowledge of data governance and compliance regulations (e.g., GDPR). Additional Information: The company we are partnered with More ❯

quality, accurate work. Ability to manage multiple projects and work under tight deadlines when needed. Desirable Requirements: Experience with cloud platforms such as AWS, Google Cloud and Azure (or other similar systems) Knowledge of data governance and compliance regulations (e.g., GDPR). Additional Information: The company we are partnered with More ❯

equivalent practical experience. Strong experience in backend development with proficiency in Python, Java, or Node.js. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes. Knowledge of database systems, both SQL and NoSQL. Proven track record of More ❯

Master’s degree in Artificial Intelligence, Data Science or equivalent experience of 5 years. Experience with Agentic AI. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and MLOps tools. Understanding of data structures, algorithms, and software engineering principles and also when to prototype. Experience with data preprocessing, feature engineering, and More ❯

Data Management Professional (CDMP) or Oracle Certified Professional (OCP) are a plus. Preferred Qualifications: Experience with cloud-based data warehousing solutions (e.g., AWS, Azure, Google Cloud). Familiarity with wealth management industry standards and regulations. Proven track record of successfully leading large-scale data warehousing projects. How We Work: Delta More ❯

Proficiency in Git. GitHub Testing Tools: pytest, unittest. API Development: Building and integrating RESTful APIs. Containerization and Cloud Platforms: Experience with Docker, Kubernetes, AWS, Google Cloud. Beneficial Bachelors degree or Associates with experience in the field. Responsibilities Participating in engineering teams agile ceremonies Analyse user and system requirements Design flowcharts More ❯

experience Experience leading a matrix data engineering team Demonstrable experience overcoming high volume, high compute challenges. Familiarity with orchestrating tooling Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes) Experience in automated testing and design Experience with DevOps-forward ways of working Deep experience with common big data tools (e.g., Spark More ❯

CD tools (like Jenkins, GitLab CI, or Tekton), and various programming languages (Java, Kotlin, Python, JavaScript) is essential. Experience with cloud platforms (AWS, Azure, Google Cloud), SQL and NoSQL databases (PostgreSQL, MongoDB), and frameworks (Spring Boot, React, Angular) is highly valued. Strategic leadership: You have a proven track record of More ❯