AI Consultant

AI / ML Engineer (Cloud-Native, GCP, Kubernetes) – Consulting Role Bristol (Hybrid) Enterprise Transformation Programme We are seeking experienced AI / ML / AI Engineering professionals to join a major enterprise transformation programme with a leading consultancy. This is a hands-on delivery role focused on building and deploying production-grade AI systems within complex enterprise environments, not research or proof-of-concept work. You will work across large-scale client engagements, designing, building, and deploying scalable AI/ML solutions using modern cloud-native technologies, with a strong emphasis on production readiness, performance, and enterprise integration. Responsibilities • Design, develop, and deploy AI/ML solutions into production environments • Build and operationalise machine learning models using cloud-native architectures • Work extensively within Google Cloud Platform (GCP) environments • Deploy and manage workloads using Google Kubernetes Engine (GKE) and Kubernetes • Develop scalable ML pipelines and support MLOps practices including CI/CD, monitoring, and automation • Integrate AI solutions into wider enterprise systems and data platforms • Work closely with enterprise clients across transformation programmes • Contribute to solution design, architecture decisions, and engineering best practices Required Experience • 5+ years’ experience in AI / ML / Data Science / AI Engineering • Strong hands-on experience delivering production AI/ML systems • Solid experience with GCP and Kubernetes / GKE • Strong Python and cloud engineering skills • Experience in consulting or enterprise transformation environments • Understanding of MLOps, model deployment, and cloud-native engineering practices • Strong stakeholder engagement and client-facing communication skills Desirable Experience • Exposure to GenAI, LLMs, or agent-based AI systems • Experience with Terraform or other Infrastructure-as-Code tools • Experience with BigQuery, Vertex AI, Dataflow or related GCP services • CI/CD pipeline experience for ML systems • Experience working in regulated or large-scale enterprise environments Overview This is an opportunity to work on high-impact enterprise transformation programmes delivering real-world AI solutions at scale. The role suits engineers who enjoy building production systems, working closely with clients, and operating in complex cloud environments. If you are an AI Engineer, ML Engineer, or Data Scientist with strong cloud-native experience and a consulting mindset, we would be keen to speak with you.