6 of 6 Remote/Hybrid Google Jobs in West Sussex

applications in production. Experience building and operating large‐scale, distributed AI systems involving multiple agents, models, tools and services. Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies. Experience with LangGraph, AutoGen, smolagents or similar frameworks. Experience with Model Context Protocol, model‐serving platforms ...

skills and database design, particularly with MariaDB. AWS infrastructure and cloud services. DevOps and systems administration. CloudFlare, Debian, Puppet and Terraform. Analytics implementation, including Google Tag Manager and server-side tracking. Consent management and privacy-focused measurement solutions. What's on Offer? Challenging, Meaningful Work Every project is bespoke, providing ...

Retail discount scheme – perks and savings just for being part of our team! The Hiring Process: Let1s Make it Personal! Screening Call: Virtual via Google Meet with one of our team to have a friendly chat, learn more about your experience, what excites you about the role ...

Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting … writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large-scale BigQuery environments. Relevant Qualifications Desirable: Google Cloud Certified Cloud Engineer Google Cloud Certified Professional Data Engineer/Cloud AI Engineer Degree Qualification or Equivalent: A Bachelors or Masters degree in Computer ...

Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting … writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large-scale BigQuery environments. Relevant Qualifications Desirable: Google Cloud Certified Cloud Engineer Google Cloud Certified Professional Data Engineer/Cloud AI Engineer Degree Qualification or Equivalent: A Bachelors or Masters degree in Computer ...

Engineering & Cloud Computing Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines Proven track record of architecting … writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large-scale BigQuery environments. Relevant Qualifications Desirable Google Cloud Certified Cloud Engineer Google Cloud Certified Professional Data Engineer/Cloud AI Engineer Benefits Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward ...