4 of 4 Google Kubernetes Engine Jobs in Central London

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯

other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: Cloud experience (e.g. Google Cloud and cloud run essential) including core web application infrastructure is essential CSED backend Demonstrated experience of Python backend development (e.g. using FastAPI) React frontend experience ideally Strong skills … software development tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often Hosting: GCP (GKE and Cloud Run) essential Deployment: Terraform and GitHub Actions - essential Agile Methodology Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological … genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP Experience with Kubernetes and Google Kubernetes Engine would be an advantage More ❯

Google Platform Engineer with strong GCP DevOps, Jenkins and/or Harness pipeline automation, Terraform, Python, GKE Location: [London] | Hybrid/Remote Duration: [3-6 months initial, likely long term extension] We're looking for an experienced Google Platform Engineer to lead a key migration project moving our CI/CD pipelines from Jenkins to Harness . If … you're passionate about automation, cloud native technologies and building scalable infrastructure on Google Cloud Platform (GCP) , we'd love to hear from you. What You'll Bring: CI/CD & DevOps Tooling … Deep hands-on experience with Jenkins , including: Shared Libraries SonarQube & Nexus integration Docker builds and image publishing Google Artifact Registry (GAR) integration Infrastructure & Cloud Strong knowledge of GCP : GKE , VPC networking, Firewall rules Virtual Data Centre (VDC) architecture Google Artifact Registry Scripting & Automation Terraform : Comfortable with IaC for GCP infrastructure and CI/CD components Python : Proficient in More ❯