76 to 100 of 780 GCP Jobs in the UK excluding London

technical stakeholders. YOUR SKILLS AND EXPERIENCE The successful candidate will have: Strong proficiency in Python , with scalable, maintainable, test-driven development (TDD) Experience designing, deploying, and maintaining systems on GCP or AWS Solid understanding of CI/CD pipelines (GitHub Actions) and Docker Hands-on experience with RESTful APIs (Django/DRF or FastAPI) Strong knowledge of secure software development More ❯

proficient in using AI-coding assistants (like Cloude Code) to substantially optimise delivery cycles. Experience with data engineering, APIs, and developing full-stack solutions in cloud platforms (AWS, Azure, GCP). Familiarity with procurement systems, defence contracting, or government tech is a strong plus. Ability to work independently and drive innovation in ambiguous environments. Excellent problem-solving, communication, and stakeholder More ❯

proficient in using AI-coding assistants (like Cloude Code) to substantially optimise delivery cycles. Experience with data engineering, APIs, and developing full-stack solutions in cloud platforms (AWS, Azure, GCP). Familiarity with procurement systems, defence contracting, or government tech is a strong plus. Ability to work independently and drive innovation in ambiguous environments. Excellent problem-solving, communication, and stakeholder More ❯

proficient in using AI-coding assistants (like Cloude Code) to substantially optimise delivery cycles. Experience with data engineering, APIs, and developing full-stack solutions in cloud platforms (AWS, Azure, GCP). Familiarity with procurement systems, defence contracting, or government tech is a strong plus. Ability to work independently and drive innovation in ambiguous environments. Excellent problem-solving, communication, and stakeholder More ❯

proficient in using AI-coding assistants (like Cloude Code) to substantially optimise delivery cycles. Experience with data engineering, APIs, and developing full-stack solutions in cloud platforms (AWS, Azure, GCP). Familiarity with procurement systems, defence contracting, or government tech is a strong plus. Ability to work independently and drive innovation in ambiguous environments. Excellent problem-solving, communication, and stakeholder More ❯

frameworks such as PyTorch, TensorFlow, or Scikit-learn. Knowledge of probability, statistics, and common ML techniques. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency with containers, Docker, and Kubernetes. Strong communication skills with the ability to work across technical and non-technical teams. Comfortable working in a high-growth, fast-paced environment. More ❯

environme nts.Experience with modern software engineering practices: CI/CD pipelines, version control (Git), automated testing, and code rev iew.Hands-on experience deploying applications on cloud platforms (e.g., AWS, GCP, or Azu re).Strong problem-solving skills, with the ability to translate research prototypes into reliable software soluti ons.Excellent written and verbal communication skills, with the ability to explain complex More ❯

re Looking For Expertise in generative AI, LLMs, and prompt engineering. Proven Python skills and experience with AI/ML model development. Hands-on cloud deployment knowledge (AWS, Azure, GCP, Databricks, Snowflake). Familiarity with Git, Docker, CI/CD pipelines. Strong communication and collaboration skills. Bonus Skills AI/ML or cloud certifications. Experience in regulated industries (finance, healthcare More ❯

enough to adapt across others. Essential Skills: Proven experience leading software engineering teams Deep expertise in one major stack (Java, Python, Node.js, etc.) Strong cloud knowledge (AWS, Azure, or GCP) Agile delivery experience and a pragmatic problem-solving mindset Bonus Points For: Test-driven development and continuous delivery practices Experience with enterprise integration patterns Interest in AI tools and emerging More ❯

etc.). 2. Hands-on experience with OpenShift Virtualization and Kubernetes. 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks. 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. 5. Familiarity with CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). 6. Strong understanding of networking, storage, and virtualization concepts. 7. Experience with version control More ❯

etc.). 2. Hands-on experience with OpenShift Virtualization and Kubernetes. 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks. 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. 5. Familiarity with CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). 6. Strong understanding of networking, storage, and virtualization concepts. 7. Experience with version control More ❯

Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly More ❯

enable agents that learn and improve autonomously. Deploy at Scale: Integrate your agents into enterprise ecosystems (ERP, CRM, financial platforms) and deploy on cloud platforms like Azure, AWS, or GCP with robust observability. Collaborate & Influence: Partner with data scientists, product managers, and stakeholders to translate complex business needs into intelligent, autonomous workflows. Champion Ethical AI: Ensure your agents comply with More ❯

communication skills and a team-oriented attitude Nice to Have (But Not Required): Internship, university project, or research involving machine learning or data science. Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of software engineering best practices, version control (Git), or CI/CD pipelines Understanding of deep learning, NLP, or computer vision Familiarity with deployment tools like Docker More ❯

communication skills and a team-oriented attitude Nice to Have (But Not Required): Internship, university project, or research involving machine learning or data science. Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of software engineering best practices, version control (Git), or CI/CD pipelines Understanding of deep learning, NLP, or computer vision Familiarity with deployment tools like Docker More ❯

communication skills and a team-oriented attitude Nice to Have (But Not Required): Internship, university project, or research involving machine learning or data science. Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of software engineering best practices, version control (Git), or CI/CD pipelines Understanding of deep learning, NLP, or computer vision Familiarity with deployment tools like Docker More ❯

communication skills and a team-oriented attitude Nice to Have (But Not Required): Internship, university project, or research involving machine learning or data science. Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of software engineering best practices, version control (Git), or CI/CD pipelines Understanding of deep learning, NLP, or computer vision Familiarity with deployment tools like Docker More ❯

communication skills and a team-oriented attitude Nice to Have (But Not Required): Internship, university project, or research involving machine learning or data science. Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of software engineering best practices, version control (Git), or CI/CD pipelines Understanding of deep learning, NLP, or computer vision Familiarity with deployment tools like Docker More ❯

communication skills and a team-oriented attitude Nice to Have (But Not Required): Internship, university project, or research involving machine learning or data science. Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of software engineering best practices, version control (Git), or CI/CD pipelines Understanding of deep learning, NLP, or computer vision Familiarity with deployment tools like Docker More ❯

HTML, CSS, MaterialUI. Gitflow source code management. Event driven architecture - experience with one of SQS, Kafka, Azure Service Bus, Rabbit MQ. Microservice development. Typescript Cloud native development (AWS, Azure, GCP) CI/CD. NoSQL data modelling and access patterns Important Skills AWS: familiarity with S3, AppSync, SNS, SQS, Lambda, DynamoDB, MySQL, React AWS Infrastructure as Code: CDK and CloudFormation. Xunit. More ❯

a learning culture, and help shape the direction of a growing practice. What we're looking for Hands-on experience in DevOps engineering, regardless of stack (e.g. AWS, Azure, GCP, Kubernetes, Docker, Jenkins, GitLab CI/CD). Strong understanding of automation and modern software delivery practices. Experience working in Agile teams. Curiosity, adaptability and eligibility for UK National Security More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus More ❯

automate infrastructure, enhance observability, and embed best practices in VMware Hypervisor and DevOps . Key Responsibilities: Build and maintain on-prem and cloud infrastructure (VMware Hypervisor, vSphere, OpenStack, AWS, GCP, Azure). Apply deep knowledge of operating systems and networking (Windows, Linux, firewalls, and load balancers - Palo Alto, F5). Manage and optimise containerised environments (Kubernetes, Docker). Develop and More ❯