1 to 25 of 80 GCP Jobs in the Thames Valley

engineers Deep CI/CD experience with Jenkins, CircleCI, TravisCI, or similar Proven expertise across multi-cloud environments: AWS, Azure, and/or GCP Infrastructure automation experience with Terraform and/or CloudFormation Hands-on container orchestration knowledge using Docker + Kubernetes Bonus points if you're the kind ...

transformation logic Strong experience with data pipelines and orchestration tools Hands-on experience with big data ecosystems (e.g., Snowflake, Databricks, Spark, AWS/GCP/Azure data services) Advanced skills with Tableau, Power BI, or Looker, including data source optimization and dashboard automation Proficiency in Python or R for scripting ...

Apache Spark, Flink). Expertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services (e.g., Snowflake, S3, BigQuery, Redshift). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with version control ...

guardrails into pipelines and Terraform modules. Key Skills and Experience: Proven experience operating production systems on a major cloud (AWS/Azure/GCP) with solid cloud fundamentals (networking, IAM, storage, compute, HA/DR). Hands‐on IaC with Terraform (modules, state, CI validation, policy checks). Strong ...

Familiarity with CI/CD, automated testing, and version control Passion for data, analytics, and AI-driven problem solving Nice to Have: Cloud (AWS, GCP, Azure), Kafka/gRPC, React, Infrastructure as Code, ML/data processing experience Why Join? Work on greenfield data and AI initiatives Build scalable systems ...

frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain, Langsmith/Langfuse, Gen AI/Agentic AI, Cloud platforms (Azure AI Foundry, AWS Sagemaker/Bedrock, GCP Vertex AI), MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Preferred Delivered AI projects within Agile frameworks Experience on Model Feedback Analysis, topic modelling ...

Python, Bash, YAML). Familiarity with security and DevOps tools (Jenkins, Docker, Kubernetes, security scanning tools). Strong understanding of cloud platforms (AWS, Azure, GCP) and their security features, especially SaaS integrations. Experience with CI/CD pipelines and secure software delivery. Knowledge of regulatory frameworks such as NIST ...

JavaScript/TypeScript (Node.js) Strong understanding of backend architectures, REST/GraphQL APIs, and data modelling Experience with containerisation (Docker) and cloud platforms (GCP, AWS, or similar) Familiarity with LLM or AI APIs Exposure to agentic frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.) Practical experience with databases (SQL/NoSQL) Strong ...

improve reliability, and streamline delivery workflows. Tech Stack & Tools DevOps & Platform: Kubernetes, Docker, Terraform, Argo CD, CI/CD pipelines Cloud & Infrastructure: AWS, Azure, GCP (cloud-agnostic mindset) Compute & Storage: GPU-enabled infrastructure, high-performance storage systems, high-speed networking Observability: Monitoring, logging, and alerting tools across distributed systems What ...

Tech You'll Use Backend: Python, PostgreSQL, BigQuery, MySQL Frontend: TypeScript, React, styled-components Testing: Jest, React Testing Library, Cypress, pytest Cloud & Infra: AWS, GCP, ECS Fargate, Terraform, Docker CI/CD: GitHub Actions, automated pipelines No one is expected to know everything — what matters is strong engineering fundamentals ...

products and platforms working in alignment with our AI development teams Technical Environment: * Cloud Platforms: Multi-cloud environment (Microsoft Azure, AWS and GCP) * Languages: C#, Go, JavaScript * Development Practices: AI and Agile methodologies, CI/CD, Infrastructure as Code * Quality Assurance: Mix of in-house and outsourced QA resources * Operations ...

products and platforms working in alignment with our AI development teams Technical Environment: Cloud Platforms: Multi-cloud environment (Microsoft Azure, AWS and GCP) Languages: C#, Go, JavaScript Development Practices: AI and Agile methodologies, CI/CD, Infrastructure as Code Quality Assurance: Mix of in-house and outsourced QA resources Operations ...

critically. Data Engineering: Experience building ETL pipelines and working with streaming technologies such as Kafka is beneficial. Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data stack tooling. Communication: Ability to explain technical findings to traders and business stakeholders. Comfortable working in a fast-paced, collaborative environment ...

Strong experience in modern programming languages (Python, Java, Typescript, JavaScript) Familiarity with secure coding principles and systems engineering Experience with cloud platforms (AWS, Azure, GCP) and DevOps tooling is a bonus Comfortable working in agile, iterative environments Active DV clearance is essential A passion for mission-focused work and working ...

statistics Knowledge of probabilistic and Bayesian modelling Solid software-engineering principles and experience with an OO language Familiarity with cloud platforms (Azure, AWS, or GCP) and IaC tools such as Terraform ...

e.g., Docker) and CI/CD systems. Understanding of networking concepts (TCP/IP, serial interfaces, device communication). Experience with cloud platforms (AWS, GCP, Azure). Familiarity with embedded systems, device provisioning, or firmware interactions. Experience with performance tuning in Linux or systems-level optimization. The company offer ...

e.g., Docker) and CI/CD systems. Understanding of networking concepts (TCP/IP, serial interfaces, device communication). Experience with cloud platforms (AWS, GCP, Azure). Familiarity with embedded systems, device provisioning, or firmware interactions. Experience with performance tuning in Linux or systems-level optimization. The company offer ...

backend services in Python (APIs, async workflows, automation pipelines) Developing UI components in React/TypeScript for internal tools and dashboards Working in a GCP environment (Cloud Run, Cloud Functions, Pub/Sub, BigQuery, Firestore) Optimising end-to-end performance of scheduling engines and workflow automation Collaboration & Delivery Working with ...

delivery. Responding to incidents and driving continuous improvement of platform security. Tech Stack: Cloud: AWS (EC2, Lambda, RDS, Route53, ELBs, EKS), plus some GCP/Azure exposure Infrastructure as Code: Terraform, Ansible Containers & Orchestration: Kubernetes, Docker CI/CD: Jenkins, GitHub Actions, AWS CodePipeline Monitoring: Prometheus, Grafana, ELK, CloudWatch Security ...

Confident SQL across TSQL, ANSI SQL, Spark SQL. Real experience with cloud data services (Azure Data Factory, Databricks, Synapse, or equivalents on AWS/GCP). Ability to dive deep into datasets, understand structure, and communicate insights clearly. Experience working with structured and unstructured data at scale. Bonus points ...

libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch). Understanding of software engineering principles and version control (Git). Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus. Excellent problem-solving abilities with a passion for turning data into insight. Strong communication skills and a collaborative mindset. What ...

/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security domains, and data usage for AI/ML. Excellent analytical and problem-solving ...

level expertise Background in Analytics, Engineering, Data Science, or Consulting Skilled in tools like Python, SQL, Spark, Power BI, and cloud platforms (AWS, Azure, GCP) Strong problem-solving and communication skills Comfortable in client-facing environments Active SC or DV Clearance is a must ...

Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their AI/ML services. Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Experience in designing ...

least one of the following: C# (.NET Core), JavaScript/TypeScript, or Golang Experience working with cloud platforms such as AWS or GCP Solid understanding of both relational and NoSQL databases - e.g. MongoDB, Firestore, SQL Server Familiarity with CI/CD pipelines and infrastructure automation tools like Jenkins, GitHub Actions ...