176 to 200 of 1,020 GCP Jobs in the UK

understanding. Desirable Experience Background in infrastructure or networking. Exposure to generative AI, AWS Contact Center, data and analytics, or mainframe modernisation. Multi-cloud or hybrid cloud experience (e.g. Azure, GCP). Understanding of interoperability across cloud platforms and on-prem environments. Additional Information Candidates must be eligible for UK security clearance (typically 5 years of continuous UK residency and British More ❯

to make a real impact - this could be the perfect team for you! Key skills: Strong Java programming with RESTful API development Spring Boot framework experience Cloud based technologies, GCP preferred (Azure or AWS welcome) Build and deploy containerized applications with Docker and Kubernetes CI/CD tools (GitHub Actions, Jenkins, or Harness) Agile methodologies (TDD/DDD) Automated testing More ❯

Category Tools & Technologies CI/CD GitLab CI/CD, Jenkins, GitHub Actions, CircleCI, Azure DevOps Pipelines Infrastructure-as-Code Terraform, Ansible, AWS CloudFormation, Pulumi Cloud Platforms AWS, Azure, GCP, or private cloud (OpenStack) Containerization Docker, Podman Orchestration Kubernetes (EKS, AKS, GKE), Helm, OpenShift Version Control Git, GitLab, Bitbucket Monitoring & Logging Prometheus, Grafana, ELK Stack, Splunk, Datadog Security & Compliance HashiCorp 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 ❯

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 ❯

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 ❯

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 ❯

characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.) Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters Document and conduct trainings/webinars for NCCL Engage with 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 ❯

solutions. Essential Skills & Experienc: • Hands-on experience with ML Ops tools such as MLflow, Kubeflow, Amazon SageMaker, Vertex AI, orequivalent platforms. • Deep understanding of cloud infrastructure services (AWS, Azure, GCP). • Strong experience with CI/CD practices and containerization tools (Docker, Kubernetes). • Knowledge of the machine learning model lifecycle, including drift detection and automated retraining. • Familiarity with information 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 ❯

Strong background in cheminformatics concepts and toolkits (RDKit, SMARTS/SMIRKS). Proficiency with machine learning frameworks (PyTorch, TensorFlow, scikit-learn). Experience deploying applications in cloud environments (AWS, GCP, or Azure). Knowledge of modern software practices (CI/CD, Git, testing, code review). Excellent communication skills to bridge technical and non-technical teams. Nice-to-have skills More ❯

Strong background in cheminformatics concepts and toolkits (RDKit, SMARTS/SMIRKS). Proficiency with machine learning frameworks (PyTorch, TensorFlow, scikit-learn). Experience deploying applications in cloud environments (AWS, GCP, or Azure). Knowledge of modern software practices (CI/CD, Git, testing, code review). Excellent communication skills to bridge technical and non-technical teams. Nice-to-have skills More ❯

Strong background in cheminformatics concepts and toolkits (RDKit, SMARTS/SMIRKS). Proficiency with machine learning frameworks (PyTorch, TensorFlow, scikit-learn). Experience deploying applications in cloud environments (AWS, GCP, or Azure). Knowledge of modern software practices (CI/CD, Git, testing, code review). Excellent communication skills to bridge technical and non-technical teams. Nice-to-have skills 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 ❯

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 ❯

Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving abilities, with the ability to work in ambiguous environments. Excellent communication skills to effectively present insights and recommendations. A collaborative More ❯

Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving abilities, with the ability to work in ambiguous environments. Excellent communication skills to effectively present insights and recommendations. A collaborative More ❯