26 to 50 of 742 Google Jobs in the UK

Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the use of packages More ❯

development lifecycle, from conception to deployment. Capable of conceptualizing and implementing software architectures spanning multiple technologies and platforms. Technology stack Python Flask Java Spring JavaScript BigQuery Redis ElasticSearch Airflow Google Cloud Platform Kubernetes Docker Voted "Best Places to Work," our culture is driven by self-starters, team players, and visionaries. Headquartered in Los Angeles, California, the company operates sites and More ❯

bonus. • Familiarity with agile principles and practices. • Experience with Azure DevOps pipelines. The "Nice to Haves": • Certification in Azure or related technologies. • Experience with other cloud platforms (e.g., AWS, Google Cloud). • Knowledge of big data technologies • Familiarity with data governance and compliance frameworks. Your characteristics as a Consultant will include: • Driven by delivering quality work, with a great eye More ❯

as our main programming language Jupyter and Jupyter Hub for notebook analytics and collaboration Circle CI for continuous deployment AWS cloud infrastructure Kubernetes for data services and task orchestration Google Analytics, Amplitude and Firebase for client applications event processing Airflow for job scheduling and tracking Parquet and Delta file formats on S3 for data lake storage Streamlit for data applications More ❯

evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Research experience (e.g., Master’s project, internship at research organization). Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with More ❯

evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Research experience (e.g., Master’s project, internship at research organization). Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with More ❯

evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Research experience (e.g., Master’s project, internship at research organization). Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with More ❯

with client requirements. DevOps : Knowledge of Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as GitHub Actions, Azure Pipelines. Basic understanding of cloud computing services (Google Cloud, Azure) and containerisation for deploying and managing applications. Collaboration with the business units & Pod involvement: Act as a liaison between the Digital Delivery Automation Chapter and various Pods, ensuring More ❯

teammates and external teams to define design and ship new features. Mentor junior developers and become a technical SME. Cloud Experience: Extensive experience with cloud platforms (AWS, Azure, or Google Cloud) and services. Version Control: Proficient in using version control systems (e.g., Git) and experience with CI/CD pipelines. Problem-Solving: Exceptional problem-solving capabilities, with a history of More ❯

environment driven by a shared commitment to connection, growth and success. Recognised in the top 25 of Deloitte's prestigious UK Technology Fast50 in 2023 and backed by Microsoft, Google and Octopus Ventures, we're trusted by leading law firms and in-house legal teams, including A&O Shearman, Dentons, Deloitte, and Barclays, to streamline their workflows and mitigate risks. More ❯

Database. Lead the migration of on-premises SQL Server/SSIS workloads into Azure. Design data lakes, marts, and models to support analytics and reporting. Integrate external sources including Google Cloud Platform. Drive data governance with tools like Azure Purview. Collaborate with architects, BI teams, and stakeholders to ensure seamless data access. Apply DevOps (ADO, GitHub) and Agile practices for More ❯

manipulation techniques. Excellent analytical, problem-solving, and critical thinking skills. Proven ability to communicate technical findings to non-technical stakeholders. Preferred: Experience with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Snowflake). Familiarity with A/B testing, forecasting, and predictive modelling techniques. Experience in eCommerce as well as Finance and Healthcare industries. This fantastic new role is to More ❯

scaling, and management of infrastructure using Infrastructure as Code (IaC) principles. Develop and maintain infrastructure using tools like Ansible and Terraform. Manage and optimize cloud-based infrastructure on both Google Cloud Platform (GCP) and Amazon Web Services (AWS). Ensure the high availability, performance, and security of infrastructure components, including Linux storage. Implement and manage containerization solutions using Docker and More ❯

scaling, and management of infrastructure using Infrastructure as Code (IaC) principles. Develop and maintain infrastructure using tools like Ansible and Terraform. Manage and optimize cloud-based infrastructure on both Google Cloud Platform (GCP) and Amazon Web Services (AWS). Ensure the high availability, performance, and security of infrastructure components, including Linux storage. Implement and manage containerization solutions using Docker and More ❯

visualizations (e.g., charts, dashboards, maps) using tools such as Chart.js, D3.js, or similar. Ensure high-quality, reliable code through testing, documentation, and code reviews. Deploy and manage services in Google Cloud Platform (GCP), using Cloud Run, Kubernetes, and other cloud-native tooling. Collaborate with data scientists, analysts, and fellow engineers to deliver impactful software. Provide technical leadership, mentoring, and best More ❯

visualizations (e.g., charts, dashboards, maps) using tools such as Chart.js, D3.js, or similar. Ensure high-quality, reliable code through testing, documentation, and code reviews. Deploy and manage services in Google Cloud Platform (GCP), using Cloud Run, Kubernetes, and other cloud-native tooling. Collaborate with data scientists, analysts, and fellow engineers to deliver impactful software. Provide technical leadership, mentoring, and best More ❯

visualizations (e.g., charts, dashboards, maps) using tools such as Chart.js, D3.js, or similar. Ensure high-quality, reliable code through testing, documentation, and code reviews. Deploy and manage services in Google Cloud Platform (GCP), using Cloud Run, Kubernetes, and other cloud-native tooling. Collaborate with data scientists, analysts, and fellow engineers to deliver impactful software. Provide technical leadership, mentoring, and best More ❯

have experience around Deployment, Debugging, Testing (TDD, BDD), Scaling and Monitoring scalable web applications as expected, using a wide variety of technologies such as Java, C#, REST, cloud services Google Cloud Platform (GCP, Azure, AWS) and SQL. Additionally, experience working within a microservice framework. Responsibilities: Inspections and carry out code and peer reviews to provide assurance of code quality against More ❯

such as regression analysis, clustering, or forecasting. Experience using tools like Python or R is a bonus. Familiarity with cloud-based data environments such as Microsoft Azure, AWS, or Google Cloud – and how they can support scalable, secure analytics. Confidence working with large, complex data sets, including data cleansing, transformation, and validation. An understanding of data governance, including principles around More ❯

such as regression analysis, clustering, or forecasting. Experience using tools like Python or R is a bonus. Familiarity with cloud-based data environments such as Microsoft Azure, AWS, or Google Cloud and how they can support scalable, secure analytics. Confidence working with large, complex data sets, including data cleansing, transformation, and validation. An understanding of data governance, including principles around More ❯

Research and evaluate emerging technologies, hardware, and software to support business needs. Provide expert support for Windows operating systems and widely used software applications, including Microsoft Office, Adobe, and Google Workspace. Duties and responsibilities Install, configure, and provide ongoing support for workstation software, hardware, printers, and access control systems (e.g., fobs, portals). Assess staff IT needs, identify vulnerabilities, and More ❯

services that execute, partition, and track quantitative risk graphs/trades in a distributed environment. XiP Compute Services are deployed onto OpenShift and Amazon EKS, with plans to onboard Google Kubernetes Engine in 2025 to expand coverage. The system scales on-demand and can run up to tens of thousands of replicas across asset classes. Role Overview We are seeking More ❯

universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, Tiger Global and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog More ❯

Mesh, Data Fabric, Data Lake etc. Data/Analytics - solving enterprise data and analytics problems using technology Cloud - hands-on Public Cloud experience in either AWS/Azure/Google, both their 'services' and 'how' to work in the cloud such as DevOps-centric approach Security - having worked in sensitive data environments and ideally have experience facing off to cyber More ❯

. Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML: Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms (e.g., Google Vertex AI, AWS Sagemaker). Hands-on work with Generative AI, Large Language Models (LLMs), agent-based frameworks, and prompt engineering. LI-YUnleash Your PotentialWhen you join Salesforce, you'll More ❯