276 to 300 of 850 GCP Jobs in the UK

design and architecture, content development, workload automation and use-cases Experienced with technologies such as EDR, SIEM, SOAR, NGFW and their ecosystems Familiarity with cloud technologies, providers (such as GCP, AWS, Azure) Familiarity with attack surface management is a plus Experience in customer-facing roles (internal or external) is a must Self-learner able to drive business outcomes independently Excellent More ❯

techniques Solid understanding of Large Language Models, including how to apply multi-modal models and when to apply prompt engineering and fine-tuning. Deployment and Cloud-based services - AWS, GCP, Docker, Linux Experience deploying ML models to edge devices with necessary optimisations Additional requirements: Advanced degree in Computer Science, Statistics, Data Science or equivalent Experience building and commercialising ML models More ❯

and business analysis. Expertise in cost and impact estimation for solution development. Familiarity with formal architecture frameworks (e.g., TMF, TOGAF). Experience with cloud platforms and technologies (AWS, Azure, GCP). Working knowledge of security design principles and best practices. Excellent communication, leadership, and problem-solving skills. Preferred Qualifications TOGAF or equivalent certification. Experience in Telecom/IT/Cloud More ❯

Excellent communication and collaboration abilities. Strong knowledge of Kubernetes and container orchestration. Understanding of various DevOps tools Nice to have • Familiarity with cloud-based auto-scaling (AWS, Azure, or GCP).• Knowledge of CI/CD pipelines and infrastructure-as-code tools. More ❯

Requirements: Proven hands-on experience with SnapLogic (Enterprise Integration Cloud) Strong understanding of ETL/ELT concepts and integration patterns Experience working with APIs, cloud platforms (e.g., AWS, Azure, GCP), and databases (SQL/NoSQL) Familiarity with REST, JSON, XML, and data mapping/transformation Excellent problem-solving skills and attention to detail Strong communication and documentation abilities Nice to More ❯

Server , PostgreSQL , or MySQL . Familiarity with version control and CI/CD processes using Git and Azure DevOps . Experience deploying to cloud platforms like Azure , AWS , or GCP . A team-first mindset and strong collaboration skills. ?? Hybrid Working: Just 2 days per month in the Nottingham office : the last Friday of each month , plus one additional day More ❯

ASR, diarization, TTS) or document intelligence (OCR, NER). Knowledge of ML Ops (experiment tracking, monitoring, CI/CD for ML). Familiarity with cloud AI services (AWS Sagemaker, GCP Vertex AI, Azure ML). Exposure to business process improvement or automation. If this role is of interest and you would like to learn more, please get in touch. You More ❯

developers, and cloud architects to deliver end-to-end solutions. Ensure compliance with cybersecurity and data privacy standards through secure coding practises and regular code reviews. Deploy applications to GCP (Firebase, Cloud Run) and Azure App Services using CI/CD pipelines hardened for security and compliance. Participate in code reviews, technical design discussions, and architecture planning sessions. Required Skills More ❯

Functional Collaboration: Ability to work closely with development, operations, and security teams. Threat Modeling & Risk Assessment: Strong knowledge of security risk management. Cloud & Container Security: Expertise in AWS, Azure, GCP, Docker, and Kubernetes. Security Governance: Experience developing and enforcing security standards. Incident Response Leadership: Skilled in leading incident response and root cause analysis. Training & Mentorship: Ability to upskill teams on More ❯

Functional Collaboration: Ability to work closely with development, operations, and security teams. Threat Modeling & Risk Assessment: Strong knowledge of security risk management. Cloud & Container Security: Expertise in AWS, Azure, GCP, Docker, and Kubernetes. Security Governance: Experience developing and enforcing security standards. Incident Response Leadership: Skilled in leading incident response and root cause analysis. Training & Mentorship: Ability to upskill teams on More ❯

SDLC, Agile, DevOps, and CI/CD pipelines. Hands-on experience with tools such as Jira, Jenkins, Git, ServiceNow, or Azure DevOps. Knowledge of infrastructure, cloud platforms (AWS, Azure, GCP), and application deployment. Strong problem-solving skills and ability to manage multiple releases simultaneously. Excellent organizational, communication, and stakeholder management skills. More ❯

SDLC, Agile, DevOps, and CI/CD pipelines. Hands-on experience with tools such as Jira, Jenkins, Git, ServiceNow, or Azure DevOps. Knowledge of infrastructure, cloud platforms (AWS, Azure, GCP), and application deployment. Strong problem-solving skills and ability to manage multiple releases simultaneously. Excellent organizational, communication, and stakeholder management skills. More ❯

infrastructure. Essential: Experience of managing an on-prem Kubernetes clusters. Working knowledge of Kubeflow and other systems such as MLflow Exposure to cloud based systems e.g. AWS, Azure or GCP (they use AWS) Knowledge of Linux systems including scripting and system configuration. Understanding of how ML tools fit into MLOps pipeline Desirable: Programming experience – ideally C++ or Java Background in More ❯

or sales engineering roles Hands-on with Docker, Kubernetes, CI/CD, Git, build tools Solid AppSec experience: SCA, SAST, SBOM, Container Security Cloud infrastructure fluency (AWS, Azure or GCP - must especially tick this box) Proven track record building enterprise relationships - from tech champions to C-level Ability to build full DevOps pipelines with various tools Software development background? Even More ❯

level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries. Independent, self-driven engineers who can own delivery without hand-holding. More ❯

level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries. Independent, self-driven engineers who can own delivery without hand-holding. More ❯

protection standards Comfortable with authentication, authorization, and SSO integration Experience working in collaborative DevOps settings with CI/CD pipelines Familiarity with cloud services such as Azure, AWS, or GCP is a plus Strong communication and documentation skills Optional Skills: Perform ongoing maintenance and refactoring of AI backend codebase. Use feature stores to manage AI features consistently across training and More ❯

ability to excel in a fast-paced, constantly evolving digital environment You'll have deep experience in many of the following areas: Cloud Platforms: Deployment and automation (AWS/GCP) Networking: Load Balancing, Routing, Switching Configuration Management: Ansible, Terraform CI/CD: Jenkins, Concourse, GitLab CI, GitHub Actions Virtualisation: VMWare If you're a hands-on SRE expert looking for More ❯

Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would be beneficial This is a home-based role, however travel to client sites is required on an ad-hoc basis. You will also More ❯

Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would be beneficial This is a home-based role, however travel to client sites is required on an ad-hoc basis. You will also More ❯

Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would be beneficial This is a home-based role, however travel to client sites is required on an ad-hoc basis. You will also More ❯

Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would be beneficial This is a home-based role, however travel to client sites is required on an ad-hoc basis. You will also More ❯

Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would be beneficial This is a home-based role, however travel to client sites is required on an ad-hoc basis. You will also More ❯

Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would be beneficial This is a home-based role, however travel to client sites is required on an ad-hoc basis. You will also More ❯

Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would be beneficial This is a home-based role, however travel to client sites is required on an ad-hoc basis. You will also More ❯