451 to 475 of 2,335 GCP Jobs in the UK

in line with ethical considerations, (cyber)security & relevant legislation, and designed their implementation You have experience working on cloud-based infrastructure (e.g. AWS, Azure, GCP) You have demonstrable continuous personal development with relevant data certifications and accreditations You have experience with CI/CD tooling to analyse, build, test and More ❯

impactful for our customers." Technical Expertise You will have 5+ years of experience in Data Engineering, with a focus on cloud platforms (Azure, AWS, GCP). You have a proven track record working with Databricks (PySpark, SQL, Delta Lake, Unity Catalog). You have extensive experience in ETL/ELT More ❯

score, and IoU. Ability to write clean and reusable code that can be easily maintained and scaled. Preferred Qualifications: Familiarity with cloud platforms (AWS, GCP, Azure). Stay up-to-date with the latest research and advancements in AI, Image processing, and Computer Vision. Familiarity with deep learning frameworks (PyTorch More ❯

Microservices - REST APIs - Docker/Kubernetes - Multi-threading - Worked in a fast-paced SME - Architecture/Design experience Desirable Skills: - AWS/Azure/GCP - Serverless architecture - DevOps practices - Kafka/RabbitMQ or similar - Data Modelling/API Visioning Benefits: - Salary up to £75,000 - Bonus up to More ❯

Microservices - REST APIs - Docker/Kubernetes - Multi-threading - Worked in a fast-paced SME - Architecture/Design experience Desirable Skills: - AWS/Azure/GCP - Serverless architecture - DevOps practices - Kafka/RabbitMQ or similar - Data Modelling/API Visioning Benefits: - Salary up to £75,000 - Bonus up to More ❯

technical work Bonus Points Exposure to financial services , especially capital markets Skills in Python or other programming languages Familiarity with cloud platforms (AWS/GCP/Azure) Time-series database knowledge outside of KDB+ Prior experience mentoring or leading junior developers Why This Role? Join a specialist team solving mission More ❯

you'll have; ** Good commercial experience with Python ** Database Skills; SQL & NoSQL ** Good Linux/Unix skills ** Experience with cloud services (Azure, AWS or GCP) Experience with the following is highly desirable; ** Docker/Kubernetes ** Software Security ** Working in a data driven environment In return the company are offering a More ❯

you'll have: Good commercial experience with Python Database Skills; SQL & NoSQL Good Linux/Unix skills Experience with cloud services (Azure, AWS, or GCP) Experience with the following is highly desirable: Docker/Kubernetes Software Security Working in a data-driven environment In return, the company is offering a More ❯

for new business opportunities. Qualifications Extensive experience in data engineering, with a strong understanding of modern data technologies (e.g., cloud platforms like AWS, Azure, GCP, and data tools such as Apache Spark, Kafka, dbt, etc.). Proven track record of leading and managing data engineering teams in a consultancy or More ❯

for new business opportunities. Qualifications Extensive experience in data engineering, with a strong understanding of modern data technologies (e.g., cloud platforms like AWS, Azure, GCP, and data tools such as Apache Spark, Kafka, dbt, etc.). Proven track record of leading and managing data engineering teams in a consultancy or More ❯

into applications. Background in high-growth startups or fast-moving environments. Hands-on experience with DevOps, CI/CD pipelines, and cloud infrastructure (AWS, GCP, or Azure) . Ability to work autonomously, solve complex problems, and iterate quickly. Bonus: Knowledge of creative production tools (Houdini, Nuke, DaVinci Resolve) or graph More ❯

into applications. Background in high-growth startups or fast-moving environments. Hands-on experience with DevOps, CI/CD pipelines, and cloud infrastructure (AWS, GCP, or Azure) . Ability to work autonomously, solve complex problems, and iterate quickly. Bonus: Knowledge of creative production tools (Houdini, Nuke, DaVinci Resolve) or graph More ❯

backend software development. Solid programming experience in Java or another object-oriented language. Hands-on experience with microservices, RESTful APIs, and cloud platforms (AWS, GCP, or Azure). Familiarity with Docker, Kubernetes, and CI/CD best practices. A collaborative mindset and a desire to continuously learn and improve. Eligibility More ❯

backend software development. Solid programming experience in Java or another object-oriented language. Hands-on experience with microservices, RESTful APIs, and cloud platforms (AWS, GCP, or Azure). Familiarity with Docker, Kubernetes, and CI/CD best practices. A collaborative mindset and a desire to continuously learn and improve. Eligibility More ❯

initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming skills in Python, Java, Scala, or a similar language. Proficiency in database technologies (SQL, NoSQL More ❯

similar, demonstrating leadership and innovation. Experience with modern technologies like CircleCI, GitHub, and other DevOps relevant tools. Experience with cloud platforms (e.g., AWS, Azure, GCP). Solid understanding of networking, security, and system administration. Excellent problem-solving and communication skills. Experience delivering and maintaining systems that run on air-gapped More ❯

proficiency in GoLang and Node.js You’ve highly comfortable with DevOps principles; experience with Kubernetes would be a plus! Exposure to cloud platforms, particularly GCP or AWS Familiarity with other robust backend programming such as Python Experience on the front-end, particularly JavaScript would be a bonus! What's in More ❯

proficiency in GoLang and Node.js You’ve highly comfortable with DevOps principles; experience with Kubernetes would be a plus! Exposure to cloud platforms, particularly GCP or AWS Familiarity with other robust backend programming such as Python Experience on the front-end, particularly JavaScript would be a bonus! What's in More ❯

and stakeholder management skills with an analytical mindset. Understanding of Agile methodologies and scaling across multiple product teams. Knowledge of cloud platforms (Azure, AWS, GCP) and containerisation tools (Kubernetes, Docker). Familiarity with integration platforms, API management tools, and hybrid environments. Certifications in ITIL, DevOps Leaders, AWS Certified, or related More ❯

Kotlin (Android) or Back-end technologies like Java, Typescript, Spring, Express (NodeJS). Prior working experience in a cloud computing environment like AWS/GCP is highly desired. Prior experience working in teams that have built AI native applications for 1+ years. BS/MS in Computer Science or related More ❯

OpenAI APIs, and Hugging Face. Deep understanding of multi-agent systems, decision-making algorithms, and reinforcement learning. Experience with cloud-based AI deployment (AWS, GCP, or Azure). Proficiency in Python, TypeScript, or Go. Solid grasp of DevOps, MLOps, and scalable AI infrastructure. Excellent stakeholder management and communication skills. Ability More ❯

CI/CD practices, and cloud-based technologies (we use AWS but we believe skills are transferable from similar products such as Azure and GCP). We want this person to delve into the challenges and Discover Insights. This role might not be for you if You are looking to More ❯

system integration architecture using SAP BTP or other middleware solutions. · Familiarity with data warehousing, reporting and analytics strategy · Experience in cloud platforms like AWS, GCP, or Azure is welcome · Excellent communication and relationship-building skills, with fluency in English Additional info Boston Consulting Group is an Equal Opportunity Employer. All More ❯

is desired. Deployment environment: Kubernetes, Docker, microservices. Experience on Talos Kubernetes is an advantage. Deployment experience in cloud-based environment AWS/Azure/GCP/OpenShift is an advantage. Experience with CI/CD pipeline - Jenkins etc is an advantage. Source Control (svn, github) and Ticketing systems (JIRA, Salesforce More ❯

machine learning models in production environments. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with cloud platforms like GCP, AWS, or Azure. Experience with CI/CD pipelines for machine learning (e.g., Vertex AI). Experience with data processing frameworks and tools, particularly Apache More ❯