26 to 50 of 365 GCP Jobs in the City of London

environments (Docker/Kubernetes). Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace deployments. Why Join Us? Join a multi-discipline team, delivering advanced Messaging APIs, developing tools, administering , supporting low latency, high throughput messaging system for prices, orders More ❯

design, growth, and other engineers to ship high-impact features Ensuring scalability, performance, security, reliability and maintainability across the full stack Contributing to cloud infrastructure setup and optimisation (AWS, GCP or Azure), containerisation, deployment pipelines, monitoring and optimisation Implementing CI/CD pipelines, automated testing, monitoring, and related DevOps practices Mentoring junior engineers and helping improve engineering practices across the More ❯

with MongoDB and Databricks. Familiarity with relational databases (e.g., PostgreSQL, MySQL, Oracle). Understanding of Git, CI/CD, and unit testing. Desirable Skills Exposure to cloud platforms (AWS, GCP, Azure). Experience with microservices and event-driven architecture. Awareness of financial regulations and compliance. Agile development experience. Please apply within for further details - Matt Holmes, Harvey Nash More ❯

interests in (any language - we value the problem-solving mindset) DevOps practices and tools (CI/CD, containerization, infrastructure as code) Cloud platforms experience beyond basic administration (AWS, Azure, GCP) Experience integrating AI or automation into operational workflows (e.g., monitoring, alerting, or data pipelines) Some knowledge of Atlassian Jira & Confluence Interest in emerging technologies (AI/ML, blockchain, IoT, edge More ❯

using Golang). Solid understanding of distributed systems , concurrency , and API design . Experience with PostgreSQL , Kafka , Redis , or similar technologies. Familiarity with Docker , Kubernetes , and cloud platforms (AWS, GCP, or Azure). Strong problem-solving skills and attention to performance and reliability. Bonus points for experience in the energy sector , IoT systems , or data engineering . Why Join Shape More ❯

Experience with modern frontend frameworks (React, Vue, Angular) Solid understanding of database technologies (PostgreSQL, MySQL) and data modeling Experience designing and building RESTful APIs Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker) Bonus: Experience with financial concepts, real estate data, or startup environments What's in it for me: Salary £100,000-£120,000 dependent on experience Hybrid More ❯

training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

practical experience with models used in econometrics or marketing measurement. Experience with agile development methodologies, such as Scrum or Kanban. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with DevOps practices and tools for continuous integration and deployment. Solid understanding of system design principles, scalability, and performance optimization. Acxiom is More ❯

practical experience with models used in econometrics or marketing measurement. Experience with agile development methodologies, such as Scrum or Kanban. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with DevOps practices and tools for continuous integration and deployment. Solid understanding of system design principles, scalability, and performance optimization. Acxiom is More ❯

across multiple countries in Europe, with a significant presence in Poland and Ukraine. Our tech stack includes Python with a React frontend, deployed on AWS in Kubernetes clusters, using GCP for Gemini and LangGraph for agent orchestration. While youll have the resources of a large organisation, this team operates with a startup mentality: embracing rapid iteration, a cross-functional mindset More ❯

services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Sagemaker Key Details Reporting to Lead Data Scientist Hours Full time Location London - Hybrid WFH model, x2 days a week More ❯

platform. Remote : UK Salary : Up to £50k + 1% Equity What You’ll Do Build and scale backend services for video processing and search Design cloud infrastructure (AWS/GCP/Azure) for performance and reliability Set up CI/CD pipelines and observability tools Collaborate with AI researchers to integrate models into production Take a product-first approach to More ❯

of RESTful API development and integration. Familiarity with version control systems, preferably Git . Understanding of Agile/Scrum methodologies. Desirable Skills: Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of front-end technologies (JavaScript, Angular, React). Familiarity with CI/CD pipelines and DevOps practices. What We Offer: Competitive salary up to £80,000. Hybrid working More ❯

and tools such as MLflow, 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 for production ML (Prometheus, Grafana More ❯

related products Proficiency in Python and 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 foundation in software design More ❯

related field (top-tier university preferred) Desirable Experience Hands-on experience with Rust (or willingness to learn — our current team picked it up on the job) Cloud infrastructure: Kubernetes, GCP, Cloudflare, Terraform Databases: SQL-like, especially SurrealDB Leadership qualities: mentoring, project ownership, stakeholder management Exposure to sports betting, gambling, or adjacent domains (not required) What Success Looks Like More ❯

GCP Engineer | 6 Month Contract | Outside IR35 £550 per day | Hybrid Location: Hybrid 2-4 days a month in London Contract Length: 6 Months Rate: £500-£600 a day Outside IR35 Industry: Defence - please bear in mind you must have a minimum of active SC clearance Overview We're looking for an experienced Google Cloud Platform (GCP) Engineer to support … of one of our Defence clients cloud infrastructure. We are looking for someone who can start within the next few weeks. Key Responsibilities Build, manage, and optimise infrastructure on GCP (Compute Engine, GKE, Cloud Storage, BigQuery, etc.) Automate deployments using Terraform or similar IaC tools Implement CI/CD pipelines and monitor cloud environments for performance and cost efficiency Ensure … cloud systems meet security and compliance standards Troubleshoot cloud-related issues and support development teams Requirements 3+ years of hands-on experience with GCP Strong knowledge of Terraform , Kubernetes (GKE) , and CI/CD tools Proficiency with Linux , networking , and cloud security Scripting skills in Python or Bash GCP certification (Professional Cloud Architect/DevOps Engineer) preferred If you are More ❯

orchestration, automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from a top More ❯

member of our DevOps team, you’ll: Build, maintain, and optimise CI/CD pipelines and automated deployment processes. Manage Linux-based systems and cloud infrastructure (OpenStack, AWS, or GCP). Implement Infrastructure as Code (IaC) using tools such as Ansible, Terraform, Saltstack, or Puppet . Support and manage databases – primarily PostgreSQL , with exposure to MySQL, Elastic, and MongoDB . More ❯

and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. More ❯

and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. More ❯

across multiple countries in Europe, with a significant presence in Poland and Ukraine. Our tech stack includes Python with a React frontend, deployed on AWS in Kubernetes clusters, using GCP for Gemini and LangGraph for agent orchestration. While you’ll have the resources of a large organisation, this team operates with a startup mentality: embracing rapid iteration, a cross-functional More ❯

domain Hands-on experience with Python libraries and frameworks (NumPy, Pandas, Airflow, FastAPI, Flask, SQLAlchemy) Highly proficient in asynchronous, event driven distributed systems Working knowledge of cloud-native architectures, GCP preferred Experience in Go and working with real-time data streams What we offer Unique opportunity to work on new, cutting-edge technology in financial trading Self-funded and already More ❯

replace this core Go requirement. 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 of (or deep, demonstrable curiosity More ❯