1 to 25 of 331 Remote Google Jobs in the UK

migration project and lead a talented data engineering team at a fast-growing, tech-driven business. Why this role? Lead the migration of an existing Azure data warehouse to Google BigQuery , creating a scalable, modern platform to power analytics, BI, and data science. Join a collaborative, people-first culture that's been recognised as a Great Place to Work for More ❯

modern language (JavaScript/TypeScript, Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL, microservice architectures Cloud & DevOps: AWS, Azure, or GCP; Docker More ❯

Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages More ❯

Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages More ❯

Business Unit: Data Management Role Overview This strategic, client-facing role sits within a growing Data Management practice and focuses on leading cloud-based data architecture initiatives, particularly on Google Cloud Platform (GCP). The Data Solutions Architect will collaborate with senior stakeholders to modernise data platforms, accelerate cloud transformation, and unlock business value through data and AI. This is More ❯

Business Unit: Data Management Role Overview This strategic, client-facing role sits within a growing Data Management practice and focuses on leading cloud-based data architecture initiatives, particularly on Google Cloud Platform (GCP). The Data Solutions Architect will collaborate with senior stakeholders to modernise data platforms, accelerate cloud transformation, and unlock business value through data and AI. This is More ❯

researching and proposing new solutions. Propose and review Engineering Request for Comments (RFC) to drive Engineering architecture and practices. Technology Stack at Zefr: Core Infrastructure & Cloud Platforms: Cloud Providers: Google Cloud Platform (GCP), Amazon Web Services (AWS) Infrastructure as Code (IaC): Terraform Containerization & Orchestration: Docker, Kubernetes (experience with GKE and/or EKS expected), Helm, Kustomize Service Mesh: Istio CI More ❯

and data manipulation. 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 Scripting & Low/No-Code Chapter and various More ❯

and/or analytics domain. Understanding and/or certification in one or more of the following technology Kubernetes, Linux, Java and databases, Docker, Amazon Web Service (AWS), Azure, Google Cloud (GCP), Kafka, Redis, VM's, Lucene. Occasional travel may be required. Bonus Points: Certifications and specialization in Data Science, Data Analytics, Data Engineering, Machine Learning, NLP, Data Infrastructure, analytics More ❯

Hat Open Shift Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Preferred Qualifications: Experience with databases: PostgreSQL Knowledge of cloud services: AWS, Azure, or Google Cloud Platform. Familiarity with Agile methodologies. More ❯

Prometheus, Grafana). Automation with Terraform, Ansible or similar. Programming in Python, Java, GoLang. Desirable Financial services or regulated industry experience. AWS/GCP certifications (e.g., AWS Solutions Architect, Google Professional Cloud Engineer). Knowledge of cryptography. If you are a skilled Senior Software Engineer with strong cloud, DevOps, and software development expertise, and youre looking for your next challenge More ❯

Our solutions will not be tied to a specific cloud platform, so the ideal candidate should have a strong understanding of cloud architecture with either Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure and be willing to work across all clouds. You will be responsible for deploying commercial-grade APIs using Python Docker images, Typescript/Python More ❯

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 ❯

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 ❯

sources, formats, and standards, such as APIs, JSON, XML, CSV, etc, and detail oriented; Experience in developing and deploying applications and solutions using cloud platforms, such as AWS, Azure, Google Cloud, etc.; A portfolio of supported Open-Source GitHub projects (desirable); Experience in leading and managing technology teams and projects, including agile methodologies, budgeting, reporting, and documentation; and Passionate and 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 ❯

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 ❯

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 ❯

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 ❯

sources, formats, and standards, such as APIs, JSON, XML, CSV, etc, and detail oriented; Experience in developing and deploying applications and solutions using cloud platforms, such as AWS, Azure, Google Cloud, etc.; A portfolio of supported Open-Source GitHub projects (desirable); Experience in leading and managing technology teams and projects, including agile methodologies, budgeting, reporting, and documentation; and Passionate and More ❯