201 to 225 of 1,479 GCP Jobs in England

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 : £40,000 – £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 : £40,000 – £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 : £40,000 – £45,000 plus More ❯

or early experience in Agentic AI systems. Full-stack development: front-end (React, Angular, Vue, etc.), back-end (Node.js). Experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP). Familiarity with Cisco technologies (Splunk a plus). Experience with startups, research institutions, or academia. Why Join Us? Work on projects with global reach and transformative potential. Accelerate your More ❯

new solutions. Propose and review Engineering Request for Comments (RFC) to drive Engineering architecture and practices. Technology Stack at Zefr: Core Infrastructure & Cloud Platforms: Cloud Providers: Google Cloud Platform (GCP), Amazon Web Services (AWS) Infrastructure as Code (IaC): Terraform Containerization & Orchestration: Docker, Kubernetes (experience with GKE and/or EKS expected), Helm, Kustomize Service Mesh: Istio CI/CD & Automation … Experiment Tracking: Weights and Biases, DVC Libraries/Frameworks: Transformers, HuggingFace Model Optimization/Formats: Onnx, TensorRT Data Stores & Databases: Relational Databases: PostgreSQL (including managed versions like AWS Aurora, GCP Cloud SQL) NoSQL Databases: DynamoDB Search Databases: OpenSearch, Elasticsearch Vector Databases: Qdrant Caching: Redis Data Warehousing: Snowflake What we're looking for: 4+ year job history designing, managing, deploying, and … supporting Cloud Infrastructure in a production environment using major public cloud providers. (One of GCP or AWS required) Production experience designing, managing, deploying, and maintaining container based workloads into Kubernetes clusters Knowledge of GitOps including an understanding of modern CI/CD pipelines, techniques and technologies (Github Actions, GitLab, CircleCI, Argo CD, Flux) Knowledge of IaC and configuration management tools More ❯

power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems running self-hosted open source services exclusively. We strive towards a strong code-first, data as a product mindset at all times, where testing … as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud-native services for data storage, processing, and analytics. Data Quality and Governance: Implement and oversee data governance, quality, and security measures. Monitoring, Optimization and Troubleshooting: Monitor data pipelines … such as Apache Airflow, Informatica, or Talend. Strong understanding of data governance and best practices in data management. Experience with cloud platforms and services such as AWS, Azure, or GCP for deploying and managing data solutions. Strong problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache More ❯

Vue, or similar frameworks) Back-end experience with Node.js, Python, or PHP (Laravel preferred) Proficient with databases (MySQL, PostgreSQL, or MongoDB) Familiarity with containerisation (Docker) and cloud hosting (AWS, GCP, or similar) Experience with secure payment integration (Stripe, PayPal, etc.) Previous work on e-commerce or multi-vendor platforms is a big plus Understanding of GDPR, user authentication, and platform More ❯

is a strict hiring requirement. Demonstrated ability to troubleshoot and resolve complex issues across varied environments, independently and effectively Experience with cloud-native technologies: Kubernetes, Docker, Linux, AWS, Azure, GCP, CI/CD, Terraform, Ansible, Serverless, and container registries In-depth understanding of public cloud platforms and deployment best practices Strong knowledge of network protocols (TCP/IP) and security More ❯

is a strict hiring requirement. Demonstrated ability to troubleshoot and resolve complex issues across varied environments, independently and effectively Experience with cloud-native technologies: Kubernetes, Docker, Linux, AWS, Azure, GCP, CI/CD, Terraform, Ansible, Serverless, and container registries In-depth understanding of public cloud platforms and deployment best practices Strong knowledge of network protocols (TCP/IP) and security More ❯

is a strict hiring requirement. Demonstrated ability to troubleshoot and resolve complex issues across varied environments, independently and effectively Experience with cloud-native technologies: Kubernetes, Docker, Linux, AWS, Azure, GCP, CI/CD, Terraform, Ansible, Serverless, and container registries In-depth understanding of public cloud platforms and deployment best practices Strong knowledge of network protocols (TCP/IP) and security More ❯

ML engineering, or data platform engineering. Experience in a recent technical lead or architect-level role. Proven delivery of large-scale data systems using cloud platforms (AWS, Azure, or GCP). Deep knowledge of MLOps practices (MLflow, Docker, Kubernetes, etc.). Demonstrated experience in building Data-as-a-Service (DaaS) solutions or data APIs. Strong stakeholder engagement and mentoring skills. More ❯

systems and microservices We're looking for candidates who have: Experience in designing and implementing cloud-native microservices-based distributed systems in a major cloud provider like AWS or GCP You have a bias to ship and iterate alongside product management and design partners Experience with object-oriented programming languages. We mostly use Java but appreciate a variety of languages More ❯

technical stakeholders. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. AWS Solutions Architect certification or equivalent. Experience with additional cloud providers (e.g., Azure, GCP). Familiarity with CI/CD pipelines and DevOps culture. Background in technical documentation or architecture diagramming.The base salary range for this position is £140,000 - £210,000 base + More ❯

years’ experience as a DevOps or Platform Engineer, ideally operating in a Senior capacity in their current role, and have the following: Experience with Azure Cloud (AWS and GCP will also be considered) Strong Containerisation/Orchestration work with Kubernetes Strong hands-on experience with Terraform for IaC Wealth of work across CI/CD, Monitoring, and Automation Software Development More ❯

and data engineering skills (Pandas, PySpark, Dask) Proficiency with databases (SQL/NoSQL), ETL processes, and modern data frameworks (Apache Spark, Airflow, Kafka) Solid experience with cloud platforms (AWS, GCP, or Azure) and CI/CD for data pipelines Understanding of data privacy and healthcare compliance (GDPR, HIPAA, ISO 62304) Strong software engineering practices: Git, testing, reproducibility, documentation Experience deploying More ❯

or equivalent practical experience Desired Skills Exposure to bare metal provisioning tools (Ironic, MaaS) Hands on use of observability platforms (Grafana, Prometheus, Splunk) Familiarity with public cloud services (AWS, GCP, Azure) Basic understanding of data center networking and security frameworks (NIST, STIGs) OpenStack certification (e.g., Certified OpenStack Administrator) Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and More ❯

non-technical audiences. Collaborative, pragmatic mindset with a strong sense of ownership. Nice-to-have Prior experience in fintech or highly regulated environments. Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and container orchestration (e.g., Kubernetes). Exposure to compliance, risk, or secure data architectures. Familiarity with modern DevOps, CI/CD, and infrastructure-as-code practices. Our Technical Principles More ❯

systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have: Worked with real-time data collection and/or processing Worked in More ❯

systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have: Worked with real-time data collection and/or processing Worked in More ❯

systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have: Worked with real-time data collection and/or processing Worked in More ❯

systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have: Worked with real-time data collection and/or processing Worked in More ❯

systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have: Worked with real-time data collection and/or processing Worked in More ❯

. Comfortable working with modern development tools, CI/CD pipelines, and version control. Exposure to at least one of the following would be beneficial: Cloud-based infrastructure (AWS, GCP, or Azure) Infrastructure-as-Code tools (e.g. Pulumi, Terraform, or similar) Mobile app development (React Native, Flutter, etc.) Video streaming or real-time data processing What's on Offer Equity More ❯

in Software Development 5+ years in Frontend or Web Developmentwith a strong focus on modern JavaScript frameworks (React, Vue, or Angular) Required: React, Typescript, DeckGL, NodeJS, Postgres Desired: Google Cloud Platform What We Offer Competitive salary and comprehensive benefits package. A vibrant and supportive work environment. Opportunities for professional development and career growth. Access to the latest tools and technologies. More ❯

group tackling innovative R&D challenges that directly impact customers. Our Technology Stack: Python Agentic tools (Autogen, Semantic Kernel, LangChain) SQL MongoDB Third-party LLM APIs LiteLLM MLflow Google Cloud Platform Docker PyTorch Hugging Face Transformers SPARQL Kubernetes WHAT YOU WILL BE DOING AT BEAMERY Strategic AI Leadership Define and implement the company's AI and data science strategy, ensuring More ❯