126 to 150 of 780 GCP Jobs in the UK excluding London

Expert-level Python (scikit-learn, pandas, etc.), SQL, and big data platforms (e.g. Databricks) Proven experience with MLOps : deploying, monitoring, and scaling models in production Strong cloud experience (AWS, GCP, or Azure) and comfort with CI/CD pipelines Broad data science expertise spanning classic ML, deep learning, and cutting-edge AI/agent approaches Strategic thinker who can balance More ❯

Expert-level Python (scikit-learn, pandas, etc.), SQL, and big data platforms (e.g. Databricks) Proven experience with MLOps : deploying, monitoring, and scaling models in production Strong cloud experience (AWS, GCP, or Azure) and comfort with CI/CD pipelines Broad data science expertise spanning classic ML, deep learning, and cutting-edge AI/agent approaches Strategic thinker who can balance More ❯

.. • Proficiency in API management platforms (e.g., Azure API Management, Apigee). • Experience with integration technologies (e.g. Kafka, IBM MQ). Cloud & DevOps • Experience with cloud platforms (e.g. Azure, GCP). • CI/CD pipelines, Infrastructure as Code (e.g. Terraform, ARM templates). • API testing and automation frameworks. Soft Skills • Strong communication and stakeholder management. • Strategic thinking and problem-solving. More ❯

.. • Proficiency in API management platforms (e.g., Azure API Management, Apigee). • Experience with integration technologies (e.g. Kafka, IBM MQ). Cloud & DevOps • Experience with cloud platforms (e.g. Azure, GCP). • CI/CD pipelines, Infrastructure as Code (e.g. Terraform, ARM templates). • API testing and automation frameworks. Soft Skills • Strong communication and stakeholder management. • Strategic thinking and problem-solving. More ❯

.. • Proficiency in API management platforms (e.g., Azure API Management, Apigee). • Experience with integration technologies (e.g. Kafka, IBM MQ). Cloud & DevOps • Experience with cloud platforms (e.g. Azure, GCP). • CI/CD pipelines, Infrastructure as Code (e.g. Terraform, ARM templates). • API testing and automation frameworks. Soft Skills • Strong communication and stakeholder management. • Strategic thinking and problem-solving. More ❯

using Java and Kotlin. Deep understanding of software design patterns, data structures, and algorithms. Proven experience in system architecture and designing distributed systems. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). Experience with microservices architecture and RESTful API design. Strong leadership, communication, and collaboration skills. Ability to work independently and make sound technical More ❯

tools Collaborate with technical teams to develop end-to-end data pipelines YOUR SKILLS AND EXPERIENCE Essential: Proven Python backend development experience (FastAPI, Flask, or similar) Strong cloud experience (GCP preferred) and understanding of core web app infrastructure Skilled in automated testing (pytest) and modern DevOps tools (Git/GitHub, CI/CD) Experience working in agile environments and delivering More ❯

tools Collaborate with technical teams to develop end-to-end data pipelines YOUR SKILLS AND EXPERIENCE Essential: Proven Python backend development experience (FastAPI, Flask, or similar) Strong cloud experience (GCP preferred) and understanding of core web app infrastructure Skilled in automated testing (pytest) and modern DevOps tools (Git/GitHub, CI/CD) Experience working in agile environments and delivering More ❯

need: Strong backend development skills in Python, Node.js, or a similar language (this is mandatory). Proven experience with API consumption, authentication, and integration. Familiarity with cloud platforms (AWS, GCP, Azure). Ability to design and implement production-grade backend services. Solid understanding of software engineering practices: version control, testing, CI/CD, monitoring. Desirable Skills Familiarity with LangChain, LlamaIndex More ❯

engineering best practices and developing applications in Python. Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure) Demonstrable experience with containers and specifically Docker and Kubernetes An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques More ❯

part of a team. Desirable Skills: Experience with TypeScript . Knowledge of Node.js and server-side JavaScript. Familiarity with CI/CD pipelines and cloud platforms (AWS, Azure, or GCP). Experience working in Agile/Scrum environments. Why Join Us: Work on challenging projects with a supportive team. Opportunity to gain exposure to the latest web technologies. Flexible working More ❯

part of a team. Desirable Skills: Experience with TypeScript . Knowledge of Node.js and server-side JavaScript. Familiarity with CI/CD pipelines and cloud platforms (AWS, Azure, or GCP). Experience working in Agile/Scrum environments. Why Join Us: Work on challenging projects with a supportive team. Opportunity to gain exposure to the latest web technologies. Flexible working More ❯

part of a team. Desirable Skills: Experience with TypeScript . Knowledge of Node.js and server-side JavaScript. Familiarity with CI/CD pipelines and cloud platforms (AWS, Azure, or GCP). Experience working in Agile/Scrum environments. Why Join Us: Work on challenging projects with a supportive team. Opportunity to gain exposure to the latest web technologies. Flexible working More ❯

models built in frameworks such as TensorFlow, PyTorch or Scikit-learn. Solid software engineering skills, with strong Python programming experience. Hands-on knowledge of cloud platforms (AWS, Azure, or GCP), containers, Docker, and Kubernetes. Understanding of probability, statistics, and key supervised/unsupervised learning methods. Ability to lead projects, scope work, and deliver solutions at pace (for Senior) Excellent communication More ❯

operations Container Orchestration : Proven track record with Kubernetes/OpenShift in production environments Big Data Ecosystem : Strong background in Hadoop, Hive, Spark, and cloud platforms (AWS/Azure/GCP) Systems Architecture : Understanding of distributed systems, high availability, and fault-tolerant design Security Protocols : Experience with LDAP, Active Directory, OAuth2, and Kerberos authentication Unix/Linux Proficiency : Advanced command-line More ❯

for 4+ years’ hands-on backend Java development experience. Strong expertise in RESTful APIs and microservice architectures. Background in distributed systems, OOP, and networking fundamentals. Cloud environment experience (AWS, GCP, etc.), plus Docker/Kubernetes and CI/CD. Proven track record optimising apps for performance, memory, and scalability. SQL/NoSQL database experience, including deployment and integration. Knowledge of More ❯

similar Generative AI: Some hands-on experience with LLMs for prompt engineering or agents is preferred Cloud Expertise: Building, deploying and monitoring models on cloud like Azure, AWS or GCP is preferred. Foundational Knowledge: A strong foundation in statistics, mathematics, AI principles and programming is essential for success in this role. Ideally, you will also have Problem-Solving: Ability to More ❯

code. Proficiency in Git and GitOps methodologies. Hands-on proficiency with Golang Expertise in secrets management tools (e.g., HashiCorp Vault). Practical experience with cloud services (AWS, Azure, or GCP). Strong knowledge of Kubernetes, especially in production environments. Excellent written and verbal communication in English. Understanding of non-functional testing: performance, scalability, resilience. Demonstrable track record in operational reliability More ❯

DevOps, automation, and infrastructure as code. Proficiency in Git and GitOps methodologies. Expertise in secrets management tools (e.g., HashiCorp Vault). Practical experience with cloud services (AWS, Azure, or GCP). Strong knowledge of Kubernetes, especially in production environments. Excellent written and verbal communication in English. Understanding of non-functional testing: performance, scalability, resilience. Demonstrable track record in operational reliability More ❯

DevOps, automation, and infrastructure as code. Proficiency in Git and GitOps methodologies. Expertise in secrets management tools (e.g., HashiCorp Vault). Practical experience with cloud services (AWS, Azure, or GCP). Strong knowledge of Kubernetes, especially in production environments. Excellent written and verbal communication in English. Understanding of non-functional testing: performance, scalability, resilience. Demonstrable track record in operational reliability More ❯

multi-cloud/hybrid cloud architectures, and serverless computing. Hands-On Implementation: Lead the hands-on deployment, configuration, and management of secure, high-performance cloud environments (e.g., AWS, Azure, GCP) for critical workloads. DevOps & SRE Leadership: Instil best practices in DevOps, GitOps, and Site Reliability Engineering (SRE) to ensure system reliability, scalability, and performance. Security Integration: Work hand-in-glove More ❯

What do we need from you? Experience with either relational SQL or analytics databases, including Postgres, Cassandra and BigQuery Familiarity with cloud-based technologies and deployment infrastructure such as GCP functions, Kubernetes & Terraform/Jenkins, CI/CD Git. Knowledge of Data Modelling, ETL development and Database/Data Warehousing, Structured and Unstructured data Awareness of how data can be More ❯

data validation, monitoring, and automated testing frameworks Understanding of a framework for modern ELT workflows i.e., dbt, sql-mesh etc. Experience working with a cloud platform i.e., AWS, Azure, GCP etc. Must be located within a 1-hour commute to Liverpool city centre (non-negotiable due to regular in-office collaboration requirements) Nice-to-Have Skills: Experience with both batch More ❯

production-grade code (FastAPI preferred) Collaborate with ML engineers, data scientists, and DevOps teams Participate in agile delivery and CI/CD improvement initiatives Key Skills: Python, FastAPI, Cloud (GCP/AWS), CI/CD, Git/GitHub, automated testing, DevOps fundamentals Ideal for: Engineers with a strong backend foundation and hands-on GenAI or LLM integration experience looking to More ❯

Python backend software engineering skills You have experience of building FastAPIs You have a good knowledge of public cloud services, they're using Azure but experience with AWS or GCP is fine You have experience of working with data at scale You have strong SQL skills (PostgreSQL, SQL Server and ideally Databricks, or happy to learn it) You have a More ❯