51 to 75 of 292 GCP Jobs in the City of London

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 ...

TensorFlow, or scikit-learn Familiarity with tools like Docker and Kubernetes for containerised deployments Experience working with cloud platforms such as AWS, Azure, or GCP, including an understanding of cost, scaling, and security trade-offs Good understanding of machine learning fundamentals, including evaluation metrics and modelling best practices Clear communication ...

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 ...

tools and use what works best. Current technologies include: 🗃 Python 🗄️ PostgreSQL, BigQuery, MySQL 🎨 TypeScript, React, styled-components 🔧 Jest, React Testing Library, Cypress, pytest ☁️ AWS, GCP 🚀 ECS Fargate, Docker, Terraform, GitHub Actions How They Work 👷 ♀️ Collaborate 💬 – Cross-functional, mission-driven squads with shared ownership Focus on outcomes ✅ – Solve user problems that ...

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 ...

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 ...

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 ...

looking for a motivated Java Software Developer with experience with: Java Spring Boot Microservices Containerisation using Docker, Kubernetes Developing cloud-native applications with AWS, GCP, Azure SQL, NoSQL and other tools and scripting skills As a Java Software Developer, you will enjoy fantastic benefits: Bonus Private health insurance (covering ...

deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp ...

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 ...

across teams to deploy and optimize microservices. Requirements Proven experience with Elixir (3+ years) Familiar with PostgreSQL , Kafka/RabbitMQ , Docker , and AWS/GCP . Familiar with Typescript & React. Great communicator who thrives in collaborative hybrid teams. ...

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 ...

/CSSA preferred) • Experience building and integrating RESTful APIs • Strong database experience: SQL/NoSQL (PostgreSQL, Oracle) • Cloud experience: AWS/Azure/GCP • Containerization: Docker & Kubernetes Looking forward to seeing your applications ...

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 ...

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 ...

role involves integrating AI models into production environments and optimizing data pipelines for efficiency and scalability. You’ll work with cloud platforms such as GCP, implement CI/CD workflows, and maintain high standards of code quality and documentation. Experience with microservices architecture, containerization tools like Docker and Kubernetes ...

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, sometimes ...

world feedback Tech Environment You’ll work with a modern and thoughtful stack, which includes: Python • TypeScript • React • PostgreSQL • BigQuery • MySQL • Docker • Terraform • AWS • GCP • ECS Fargate Plus a strong testing culture powered by: Jest • Cypress • pytest • React Testing Library ...

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 ...

frameworks like PyTorch, TensorFlow, or scikit-learn in applied settings Proven background in deploying ML systems on cloud platforms such as AWS, Azure, or GCP Familiar with containerisation and orchestration tools such as Docker and Kubernetes Experienced in working across ambiguous or high-risk environments, with the ability to structure ...

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 ...

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 ...

analytics, product, and engineering teams to ensure data is accurate, reliable, and driving business value. Requirements Strong hands-on experience with AWS (Azure or GCP also considered). Excellent programming skills in Python . Proven background in API development and integration. Experience building and maintaining modern data pipelines using Airflow ...

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 ...