26 to 50 of 152 GCP Jobs in the City of London

client bid responses. Ceritfication as an Azure Architect is essential but other desirable skills include: Knowledge of other Cloud Platforms such as AWS and GCP Knowledge of automation tooling such as Azure DevOps to facilitate CI/CD approaches to IaC Knowledge of IaaS implementation, Availability sets, Azure Networking concepts ...

experience with OpenShift Virtualization and Kubernetes. 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks. 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. 5. Familiarity with CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). 6. Strong understanding of networking, storage, and virtualization concepts. ...

full-stack engineering background with hands-on experience in JavaScript, TypeScript, and modern frameworks. Proven expertise building cloud-native applications on Azure, AWS, or GCP (microservices, APIs, serverless, containers, cloud integration). Excellent understanding of the modern software development lifecycle, engineering best practices, and secure delivery principles. Experience defining testing ...

Strong 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. ...

Kubeflow, 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) Strong ...

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 ...

/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems. Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions. Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/ ...

Strong, demonstrable experiefnce with real-time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. ? Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). ? Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). ? Knowledge ...

disciplines: Cloud Engineering Data Engineering (framework design, not just pipelines) DevOps MLOps/LLMOps Technologies you’ll often work with: Cloud Platforms: Azure, AWS, GCP Data Tools: Airflow, dbt, Databricks, Snowflake Developer Tooling & CI/CD: GitHub, Azure DevOps, Terraform (or other Infrastructure-as-Code tools) MLOps/LLMOps Frameworks ...

Required Experience Active SC Clearance (or eligibility at minimum) Proven full stack development experience within the UK public sector Cloud experience (AWS, Azure, or GCP) Strong experience with Java or Python Front-end experience using modern JavaScript frameworks (e.g. React, Angular, Vue) Familiarity with RESTful APIs, databases, and version control ...

building production software Proficiency in Python and microservices architecture Experience with ETL/data pipelines, containerisation (Docker/Kubernetes), and cloud environments (AWS/GCP) Strong grasp of databases (SQL/NoSQL) and API integrations Collaborative mindset and clear communication ...

with knowledge graphs, RAG and LLM tool orchestration Proven software engineering fundamentals (Python preferred) Solid MLOps grounding: Kubernetes, CI/CD, Docker, cloud platforms (GCP/AWS/Azure) Comfortable presenting, teaching, running workshops and mentoring engineers Strong communicator able to simplify complex technical concepts ...

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 ...

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 ...

such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms ( AWS , Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security ...

large-scale or complex transformation initiatives Expertise across relevant domains, particularly application, integration, and platform architecture Strong knowledge of cloud platforms (Azure, AWS, or GCP) and modern approaches (APIs, microservices, DevOps) Skilled in navigating delivery environments (Agile, hybrid, regulated change) Familiarity with architectural modelling tools and frameworks (TOGAF, ArchiMate ...

least two major MarTech products (Adobe AEP/AEM, Braze, SFMC, Tealium, Segment, or mParticle). Deep understanding of cloud platforms (AWS/GCP/Azure), streaming technologies (Kafka, Pub/Sub), and data warehouses (Snowflake, BigQuery). Proficiency in SQL, a scripting language (Python/Node.js), and familiarity with ...

familiarity with TensorFlow/PyTorch. Proficient in ML/DL models, databases, ETL, and data pipelines. Experience with cloud (AWS/Azure/GCP) and MLOps. Expertise in generative AI & LLMs (OpenAI, Hugging Face, LangChain, vectors). Exceptional communicator and client‐facing collaborator. Preferred: Advanced degrees or relevant certifications. Experience ...

years of 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 ...

scalable architecture patterns, and API design. Hands-on experience with relational (Postgres, MySQL) and NoSQL (DynamoDB) databases. Proficiency in cloud platforms (AWS, Azure, or GCP). Experience with CI/CD pipelines and automated testing frameworks. Deep understanding of investment products and trading workflows is a plus. If you have ...

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 ...

focused outcomes across cloud, infrastructure, and digital platforms. You will bring strong expertise in agile delivery, stakeholder management, governance, and cloud technologies (Azure, AWS, GCP), with a proven ability to align technology delivery to policy and organisational objectives. Key Responsibilities Programme Leadership & Strategy Shape and oversee delivery strategy for cloud ...

from zero to one (including side projects or OSS) Data engineering or analytics experience Experience integrating or working closely with LLMs Strong cloud experience (GCP a plus) Comfort designing and documenting system architecture How we work High ownership - you’ll take ideas from rough outline to production Execution-first - speed ...

ITSM, ITOM, ITBM, HRSD, CSM). Strong knowledge of ServiceNow scripting (JavaScript, Glide API), Flow Designer, and IntegrationHub. Experience with cloud platforms (AWS, Azure, GCP) and enterprise integrations. Proficiency in automation tools and CI/CD practices. Process Knowledge Solid understanding of ITIL processes and enterprise IT service management. Experience ...