1 to 25 of 68 Google-Cloud-Platform Jobs in Slough

Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases. Infrastructure & cloud: Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight ...

scalable back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

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) AI-Native development: use AI tools such as CoPilot or Cursor a collaborator and accelerator of development. Nice to Have: Experience ...

models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

close alignment with our technical vision and strategic roadmap. Responsibilities Maintain and evolve cloud infrastructure, primarily on Google Cloud Platform (GCP), with some exposure to AWS and Azure Write, review, and manage modular, reusable Terraform code Operate and enhance CI/CD pipelines using GitHub Actions … modular and reusable patterns preferred) Strong foundation in Linux, networking, and container technologies Experience deploying and managing applications on at least one major cloud provider (GCP preferred; AWS or Azure acceptable) Experience working with relational databases in production environments (e.g., Postgres, MySQL), including basic performance troubleshooting, migrations, backups ...

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) AI-Native development: use AI tools such as CoPilot or Cursor a collaborator and accelerator of development. Experience in frontend or Android development (e.g. ...

environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar). Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes. Experience in managing and deploying services ...

techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across ...

modern javascript framework (we use React) Experience working with databases (SQL and NoSQL), APIs, and web technologies. Experience with cloud platforms (AWS, GCP, Azure) Solid understanding of software engineering principles, including clean code, testing, and version control (git). Strong problem-solving skills and the ability to break down ...

databases, including PostgreSQL, Redis, or MongoDB Solid understanding of containerised microservice infrastructure Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Experience of using AI to accelerate software development (using Github Copilot Coding Agents or similar) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation ...

/ML integration within enterprise architectures. Expertise in data modelling, distributed systems, and microservices architecture. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Excellent understanding of data governance, security, and compliance in regulated environments. Strong communication and stakeholder management skills. ...

FastAPI), with a strong SQL capability. Hands-on experience building data pipelines, APIs and backend services. Solid understanding of cloud platforms (Azure/GCP) and Bash scripting. Advanced Docker knowledge, including storage, volumes and permissions. Strong grounding in software engineering principles, version control and CI/CD. Ability ...

real-time and bi-directional communication protocols and patterns (eg. WebSockets, SSE) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) AI-Native development: fast iteration & prototyping using AI tools such as Lovable, Bolt, or Cursor as a collaborator. Nice to Have: Some experience ...

Python and ML frameworks (PyTorch, TensorFlow) MLOps tooling (MLflow, Kubeflow or similar) Docker, Kubernetes, CI/CD pipelines Cloud platforms (AWS, Azure or GCP); Terraform experience preferred Financial services experience highly desirable A hands-on role with real impact, autonomy, and senior stakeholder exposure. ...

Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems ...

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 ...

public APIs You have a strong appreciation of SaaS, Kubernetes, Infrastructure as Code, GitOps, CI/CD practices and Cloud infrastructure (they use GCP but AWS experience is also fine) You have some experience with front end work using React (or similar) You're comfortable in a fast paced ...

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 ...

Unity Catalog desirable). Solid understanding of data modelling, data warehousing, and distributed systems. Experience with cloud data platforms (Azure preferred; AWS or GCP acceptable). Familiarity with Git-based workflows and CI/CD pipelines. Exposure to analytics or ML-driven use cases is beneficial. Nice to have ...

Experience Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and/or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data pipelines, feature ...

Data product or SaaS company You have indepth technical knowledge of Python for data workflows, SQL and Data Modelling, DBT, Cloud platforms (AWS, GCP or Azure), Workflow Orchestration tools (e.g. Airflow, Dagster, Prefect, DBT Cloud), CI/CD (GitHub Actions, GitLab CI, CircleCI) You have experience of leading ...

professional experience. Deep understanding of the Android ecosystem. Cloud & Architecture (Must Have): Experience working with at least one major cloud provider (AWS, GCP, or Azure) and a solid grasp of system architecture (designing APIs, selecting databases, and high-level system flow). While you don't need ...

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 ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc. ...

experience Preferred Experience with LLM APIs (OpenAI, Anthropic, DeepSeek, Qwen) Exposure to Docker or Kubernetes Familiarity with cloud providers (AWS/Azure/GCP) Coursework or experience in ML, transformers, NLP, or distributed systemsBonus (not required) Interest in real estate Interest in finance or quantitative modelling Experience building agents ...