101 to 125 of 3,385 Google Jobs in the UK

networks. Technical Skills: • Experience with data manipulation and analysis using tools like Pandas and NumPy. • Basic knowledge of cloud platforms like AWS, Azure, or Google Cloud. Desirable: • Contributions to open-source projects, particularly in the AI/ML space. • Published research in artificial intelligence or related technical journals. • Experience with More ❯

data engineering tools (Kubernetes, Airflow, Spark, Kafka, etc.), data visualization tools (Tableau, Spotfire, PowerBI, Looker, etc.) is strongly preferred. Strong understanding of cloud technology (Google Cloud, Azure, AWS) and software development practices; familiarity with managing scientific tools and services is highly desirable. Significant participation in peer-reviewed research (both publication More ❯

Principal Staff Software Engineer, AI and Data Infrastructure 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 … to develop a use-case specific definition for the data and pragmatically balance trade offs for research, privacy, and product usage. 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 products … 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 be More ❯

consultancy. Consulting background with client management. Strong understanding of data analytics, data management, data science, data governance, data architecture, etc Cloud Computing : AWS, Azure, Google Cloud for scalable data solutions. API Strategy : Robust APIs for seamless data integration. Data Architecture : Finbourne LUSID, Hadoop, Spark, Snowflake for managing large volumes of More ❯

consultancy. Consulting background with client management. Strong understanding of data analytics, data management, data science, data governance, data architecture, etc Cloud Computing : AWS, Azure, Google Cloud for scalable data solutions. API Strategy : Robust APIs for seamless data integration. Data Architecture : Finbourne LUSID, Hadoop, Spark, Snowflake for managing large volumes of More ❯

edge services in Salesforce, AI-driven insights, cybersecurity, DevOps, data analytics, and managed services. As a trusted partner for Microsoft, AWS, IBM, SAP, Oracle, Google, Salesforce, and Data bricks, we specialize in empowering enterprises with next-generation technology solutions. We are currently seeking a Power Platform Quality Assurance Engineer to More ❯

Zephyr. • CI/CD Tools: Experience with tools such as Jenkins, Bamboo, GitLab, Ansible. • Cloud Platforms: Knowledge of cloud services like AWS, Azure, or Google Cloud Platform. • Security: Experience with tools for delivering SCA, SAST, DAST capabilities. • Monitoring and Logging: Proficiency with tools like Splunk, Dynatrace, Datadog, Prometheus, Grafana. • Version More ❯

Zephyr. • CI/CD Tools: Experience with tools such as Jenkins, Bamboo, GitLab, Ansible. • Cloud Platforms: Knowledge of cloud services like AWS, Azure, or Google Cloud Platform. • Security: Experience with tools for delivering SCA, SAST, DAST capabilities. • Monitoring and Logging: Proficiency with tools like Splunk, Dynatrace, Datadog, Prometheus, Grafana. • Version More ❯

various platforms and technologies. • Proficiency in at least one programming language (e.g., Java, Python, C#). • Strong understanding of cloud platforms (AWS, Azure, or Google Cloud) and modern architectural approaches. • Hands-on experience with APIs, microservices, containerisation (e.g., Docker, Kubernetes), and CI/CD pipelines. • Knowledge of database technologies (SQL More ❯

optimize Databricks workflows . Knowledge of REST APIs for integrating external services into pipeline execution. Experience with cloud platforms like Azure Databricks, AWS, or Google Cloud . Experience with Databricks Notebooks for development and testing. Familiarity with AWS S3 for data storage and management. Understanding the platform migrations and dependency More ❯

data management. Strong collaboration, problem-solving, and communication skills. Desirable Skills: Experience with AI/ML integration for lead scoring or segmentation. Knowledge of Google Cloud, Azure, Docker, Kubernetes, or encrypted data pipelines. Familiarity with geolocation APIs like Ideal Postcodes. Benefits Include: Competitive salary with performance-based bonuses. Flexible hybrid More ❯

Jenkins, Ansible, Docker, Kubernetes). Delivering insights using visualisation tools or libraries (JavaScript preferred). Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). Strong interpersonal skills with the ability to work with clients to establish requirements in non-technical language. More ❯

infrastructure, testing, and deployment processes using tools like CircleCI; infrastructure as code knowledge is a plus. Familiarity with AWS services; knowledge of Azure or Google Cloud is beneficial. Strong understanding of modern web and mobile application development, with hands-on experience in JavaScript (TypeScript preferred) and Python stacks. Experience working More ❯

Leverage Python to implement robust data solutions, including automation and optimization tasks. Develop and maintain cloud data infrastructure using platforms like AWS, Azure, or Google Cloud Platform (GCP). Ensure data quality, security, and compliance with industry best practices and standards. Monitor and troubleshoot data pipelines to ensure reliability and More ❯

and performance tuning in Teradata, Oracle, and other databases. Strong experience with cloud data platforms tools and services (e.g., AWS Glue, AWS Redshift, Daataproc, Google BigQuery, Azure Synapse, ADF). Experience with data governance, security, and compliance best practices. Excellent problem-solving, analytical, and critical-thinking skills. Strong leadership, communication More ❯

and verbal communication skills. Proficiency in standard methodologies for secure application hosting. Preferred Qualifications: Acquired AWS or other recognised cloud certifications (e.g., Azure or Google Cloud). CI/CD expertise and practical experience in Azure DevOps, GitHub, CodeQL, JFrog, YAML etc. Experience configuring and integrating applications with third party More ❯

API design, and cloud platforms . Experience in leading architecture for a multi-tenant SaaS or large enterprise application. Certifications: AWS Certified Solutions Architect, Google Professional Cloud Architect, Azure Solutions Architect Expert. Experience in data architecture, AI/ML integration, and observability frameworks . More ❯

VPN, You Know when to use Infrastructure as Code and DevOps methodologies, You've worked with cloud technologies such as AWS, OpenStack, Azure or Google Cloud What s Next? If you have the skills and passion to be successful in this Staff Software Engineer role, we would love to hear More ❯

complex datasets and building data pipelines. Experience working in cloud-based environments, with exposure to tools such as AWS Redshift, Glue, S3, Athena, or Google BigQuery. Hands-on experience managing data versioning, metadata, and documentation for large-scale projects. A track record of collaborating with cross-functional teams, particularly in More ❯

API design, and cloud platforms . Experience in leading architecture for a multi-tenant SaaS or large enterprise application. Certifications: AWS Certified Solutions Architect, Google Professional Cloud Architect, Azure Solutions Architect Expert. Experience in data architecture, AI/ML integration, and observability frameworks . More ❯

complex datasets and building data pipelines. Experience working in cloud-based environments, with exposure to tools such as AWS Redshift, Glue, S3, Athena, or Google BigQuery. Hands-on experience managing data versioning, metadata, and documentation for large-scale projects. A track record of collaborating with cross-functional teams, particularly in More ❯

Experience with deep learning, machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google Cloud Platform, Oracle, NVIDIA, or on-prem environments. Perks and Benefits Salary dependent on experience Package of attractive benefits including private medical insurance and monthly More ❯

and cloud project management. Strong communication skills with both technical and business stakeholders. Preferred Qualifications: Cloud certifications (e.g., AWS Solutions Architect, Azure Architect Expert, Google Cloud Architect). Experience in cloud-native design, serverless computing, and container orchestration (Docker, Kubernetes). Familiarity with data lakes, AI/ML infrastructure, and More ❯

as Python, Java, or Scala. Experience with big data technologies such as Hadoop, Spark, and Kafka. Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Excellent problem-solving skills and the ability to think strategically. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at More ❯

VPN, You Know when to use Infrastructure as Code and DevOps methodologies, You've worked with cloud technologies such as AWS, OpenStack, Azure or Google Cloud Whats Next? If you have the skills and passion to be successful in this Staff Software Engineer role, we would love to hear from More ❯