7 of 7 Permanent GCP Jobs in Edinburgh

implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable ...

multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic ...

probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based AI/ ...

methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity ...

deployment, governance and operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements Strong software or data engineering foundations Experience delivering AI or AI-enabled solutions Exposure to cloud ...

Working closely with senior stakeholders and client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data ...

leading QA across enterprise-scale applications Hands-on expertise in test automation and CI/CD pipelines Experience with cloud platforms (AWS, Azure, or GCP) Strong knowledge of testing tools such as: Selenium, Cypress, Playwright Cucumber/Gherkin JMeter/BlazeMeter OWASP ZAP, SonarQube, BrowserStack Experience delivering: Performance & scalability testing ...