11 of 11 Cloud Run Jobs in the UK excluding London

workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in Google Cloud, supporting ML teams by enabling efficient data loading, dataset management, and cloud-based training workflows. You'll work closely with ML engineers … Responsibilities Design and build cloud-native data pipelines using Python on GCP Manage large-scale object storage for unstructured data (Google Cloud Storage preferred) Support PyTorch-based workflows, particularly around data loading and dataset management in the cloud Build and optimise data integrations with ...

e.g. using FastAPI) Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is essential Strong skills in JavaScript/TypeScript and Python ...

back-end components of applications within the data science and AI consulting team with a focus on GenAI and agentic solutions. · Collaborating cloud architects, data scientists, product managers, and business consultants to bring ideas to production. Design agentic workflows with HITL gates, auditability, policy controls, and robust evaluation … Generative AI models and using Agentic AI frameworks in a client-facing environment, by building GenAI And Agentic solutions, including data engineering in cloud environments. The ability to demonstrate the potential that AI has to offer to unlock business value. Your Technical Expertise: This list shows the technologies ...

back-end components of applications within the data science and AI consulting team with a focus on GenAI and agentic solutions. · Collaborating cloud architects, data scientists, product managers, and business consultants to bring ideas to production. Design agentic workflows with HITL gates, auditability, policy controls, and robust evaluation … Generative AI models and using Agentic AI frameworks in a client-facing environment, by building GenAI And Agentic solutions, including data engineering in cloud environments. The ability to demonstrate the potential that AI has to offer to unlock business value. Your Technical Expertise: This list shows the technologies ...

Langgraph, Microsoft Agent Framework, Llamaindex and other Translating AI use case requirements into data and AI architectures using the most suitable cloud services across hyperscalars Architecting and implementing Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large language models across Azure, GCP, or AWS. Embedding … scale, from concept to production. Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks. Experience designing cloud-native data and AI architectures across Azure, GCP, AWS and/or Databricks. The ability to demonstrate the potential that scaling AI unlocks business ...

Langgraph, Microsoft Agent Framework, Llamaindex and other Translating AI use case requirements into data and AI architectures using the most suitable cloud services across hyperscalars Architecting and implementing Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large language models across Azure, GCP, or AWS. Embedding … scale, from concept to production. Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks. Experience designing cloud-native data and AI architectures across Azure, GCP, AWS and/or Databricks. The ability to demonstrate the potential that scaling AI unlocks business ...

application, developing high value customer signals and data segments derived from a complex, multi source data ecosystem. Working primarily in the Google Cloud ecosystem, you will build, test and maintain robust data pipelines and data access tools, ensuring secure and reliable data flows across our systems . … Data Engineer, building data pipelines and performing data analysis. Experience with version control systems and CI/CD tools (Gitlab) Working knowledge of Google Cloud service, specifically BigQuery, Cloud Run and DBT Cloud. Familiarity with tools like Jira and Confluence. A proactive attitude with ...

back-end components of applications within the data science and AI consulting team with a focus on GenAI and agentic solutions. Collaborating cloud architects, data scientists, product managers, and business consultants to bring ideas to production. Design agentic workflows with HITL gates, auditability, policy controls, and robust evaluation … Generative AI models and using Agentic AI frameworks in a client-facing environment, by building GenAI And Agentic solutions, including data engineering in cloud environments. The ability to demonstrate the potential that AI has to offer to unlock business value. Your Technical Expertise: This list shows the technologies ...

office Salary: £80,000 - £90,000 This is an exciting opportunity to join a business that is investing heavily in AI and modern cloud technologies. You will play a key role in building AI‐driven products that have a direct impact on customer experience, operational efficiency … experience working with LLMs, embeddings, prompt engineering, tool calling and RAG design. • Practical knowledge of GCP services including Vertex AI, Model Garden, BigQuery, Cloud Run and Google’s ADK. • Experience with document and data processing using tools such as Apache Tika, plus storage or caching technologies ...

improving the Stripe integration, and implementing core tracking and SEO foundations, and more,. Tech Stack React, TypeScript, Next.js, Python (FastAPI), PostgreSQL, GCP (Cloud Run/SQL), Stripe, Firebase Auth, Terraform. Key Requirements Strong React/TypeScript and Next.js (SSR/SSG) Python/FastAPI backend ...

community. Please do not contact the recruiter directly. About the Role: TRKKN is a global leading consultancy for the Google Marketing Platform and Google Cloud, offering a comprehensive suite of services to help businesses leverage the power of Google's ecosystem. With an interdisciplinary team of experts … implementation and management, including Server-Side Tag Manager (sGTM). Strong understanding of digital analytics concepts, methodologies, and best practices. Familiarity with using Google Cloud for digital analytics, such as BigQuery for GA4 data export and Cloud Run for sGTM. Excellent problem-solving ...