351 to 375 of 842 GCP Jobs in the UK excluding London

as F5 ADCs and NGINX ingress for Kubernetes. Experience with automation, DevOps, and infrastructure as code (IaC) is essential. Public cloud vendor knowledge covering GCP and Azure would be beneficial. Furthermore, you’ll need: Proven track record implementing enterprise solutions using F5 LTM, DNS, and AWAF Experience of NGINX ingress More ❯

strong technical background ideally in .NET, with the ability to stay hands on when needed ** Commercial experience with cloud platforms (Azure preferred, AWS or GCP also considered) ** Excellent stakeholder management and communication skills ** Comfortable working across multiple teams and influencing at both strategic and technical levels ** Agile mindset with a More ❯

strong technical background ideally in .NET, with the ability to stay hands on when needed ** Commercial experience with cloud platforms (Azure preferred, AWS or GCP also considered) ** Excellent stakeholder management and communication skills ** Comfortable working across multiple teams and influencing at both strategic and technical levels ** Agile mindset with a More ❯

pipelines (Azure Data Factory, Airflow, etc.) Applied ML: NLP, CV, transformers, GANs, time series, etc. Engineering & Cloud Azure (or similar cloud platforms like AWS, GCP) Microservices and event-driven architecture Infrastructure as Code (Terraform, Bicep, Pulumi) DevOps/MLOps: CI/CD workflows, monitoring (Grafana, Prometheus, Azure Monitor) Bonus: Exposure More ❯

tell. Experience & Knowledge Experience in Microsoft Power Platform, particularly Power Apps, Power Automate and Dataverse. Experience in using cloud computing services such as AWS, GCP or Azure. Experience in data visualisation tools such as Looker, Tableau or Qlik. Experience in defining and documenting business requirements for the procurement of data More ❯

Cloud projects within the broadcast sector Demonstrable experience of Scripting & Automation e.g. Ansible, Terraform, Python Experience of deploying and managing cloud infrastructure in AWS, GCP, Azure, Oracle Experience of using network analysis/packet capture tools such as Wireshark Understanding of real time transport and encapsulation protocols such as RTP More ❯

technology, Managed Services Integration, Application Development - DevSecOps, Cloud Native Service Applications, Microsoft Development platforms, and Open-Source Software, Cloud platforms like Azure, AWS and GCP, Data Analytics, Containers, RPA, IoT, and Intelligent Automation. Analytical abilities to discover and analyze all input and data. Passion for staying abreast of related industry More ❯

technology, Managed Services Integration, Application Development - DevSecOps, Cloud Native Service Applications, Microsoft Development platforms, and Open-Source Software, Cloud platforms like Azure, AWS and GCP, Data Analytics, Containers, RPA, IoT, and Intelligent Automation. Analytical abilities to discover and analyze all input and data. Passion for staying abreast of related industry More ❯

variety of tools and technologies, including: Statistics and visualisation: Python Excel Power BI Machine learning: Python Sklearn NLTK TesnorFlow & Keras Cloud services AWS Azure GCP Foundation models: OpenAI Hugging Face Development environments Google Colab Anaconda Alternative environments available. This role is designed for individuals who are passionate about AI automation More ❯

happy to use C# .Net going forward and pick up new things along the way You have experience with public cloud technologies - Azure, AWS, GCP You have a good knowledge of modern software engineering best practices and have experience across the full software development lifecycle You have a thorough understanding More ❯

happy to use C# .Net going forward and pick up new things along the way You have experience with public cloud technologies - Azure, AWS, GCP You have a good knowledge of modern software engineering best practices and have experience across the full software development lifecycle You have a thorough understanding More ❯

happy to use C# .Net going forward and pick up new things along the way You have experience with public cloud technologies - Azure, AWS, GCP You have a good knowledge of modern software engineering best practices and have experience across the full software development lifecycle You have a thorough understanding More ❯

attention to detail. Eagerness to learn and adapt to new technologies and processes. Preferred Skills & Qualifications: Good technical knowledge of VMware, Linux, Kubernetes, Google Cloud Platform, AWS, and Azure. Knowledge and hands-on experience in cloud deployments. Deep (and technical) understanding of data center infrastructure - virtualization, compute, storage, networking, converged More ❯

have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI/CD (lots of team are releasing code 15-20 times per day More ❯

tasks at once, keep tickets updated and work with leadership to prioritize and continually deliver Desirable Skills & Experience: Exposure to cloud platforms (e.g., AWS, GCP) Familiarity with CI/CD pipelines Experience with automated testing frameworks or writing tests as part of coursework or projects Understanding of working with large More ❯

rules and tests to ensure data accuracy and adherence to data standards via unit testing and automated testing Cloud Platform Expertise: Utilize AWS/GCP services to build and maintain data estate Alerting and Monitoring: Set up alerts and monitoring systems to proactively identify and address data quality issues Collaboration More ❯

rules and tests to ensure data accuracy and adherence to data standards via unit testing and automated testing Cloud Platform Expertise: Utilize AWS/GCP services to build and maintain data estate Alerting and Monitoring: Set up alerts and monitoring systems to proactively identify and address data quality issues Collaboration More ❯

and deployment. o Integrate version control (e.g., Git), issue tracking, and documentation workflows. o Set up and manage cloud environments (Azure preferred, AWS/GCP optional). o Manage Microsoft 365 tools (email, Teams, SharePoint, user management). o Oversee endpoint management (laptops, VPNs, network security). o Deploy and More ❯

and deployment. o Integrate version control (e.g., Git), issue tracking, and documentation workflows. o Set up and manage cloud environments (Azure preferred, AWS/GCP optional). o Manage Microsoft 365 tools (email, Teams, SharePoint, user management). o Oversee endpoint management (laptops, VPNs, network security). o Deploy and More ❯

architecting modern distributed systems. Strong stakeholder management and decision-making skills, adept at navigating complex trade-offs. Familiarity with public cloud platforms (AWS, Azure, GCP). Functional knowledge of financial services (banking, cards, loans). Expertise in creating transitional architectures integrating legacy systems. Ready to Apply? If you're eager More ❯

/CD tooling Strong scripting and automation experience in Python and Bash Familiarity with observability stacks (Prometheus, OpenTelemetry, eBPF) Cloud infrastructure experience (AWS/GCP/Azure), with attention to IAM and software supply chain security Curious, persistent, and comfortable experimenting at the lowest levels of the stack For more More ❯

Angular or similar frameworks like React or Vue Proficient in deploying and managing applications using Azure and Azure DevOps or similar cloud platforms (AWS, GCP or Gitlab) User Interface design principles Experience of object-oriented coding principles and design patterns Experience with databases such as MSSQL Ability to communicate with More ❯

perspective. To excel in this role, you'll need: Technical Expertise : 10+ years in data engineering, including cloud-based architectures on AWS, Azure, or GCP A strong background in Databricks for building enterprise data warehouses with strong knowledge of SQL and Pyspark A deep understanding of data modelling and advanced More ❯

data systems and platforms. Strong expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Deep understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one programming language More ❯

for data transformation and feature extraction. Solid proficiency in scientific programming languages like Python, Scala, Java, or SQL. Solid experience with cloud platforms (AWS, GCP, Azure) and cloud services for data storage, processing, and analytics. Nice-to-Have Requirements: Familiarity with big data technologies such as Hadoop, Kafka, and similar More ❯