· 10+ years of experience in cloud architecture / solution engineering, with at least 3 years in the telecommunications domain. · 5+ years of experience in AI/ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.). · Hands-on expertise in vector similarity search systems such as ScaNN, FAISS, Pinecone, or Vespa. · Experience designing intelligent agent frameworks using tools like Dialogflow, LangChain, or custom orchestration pipelines. · Solid understanding of telecom OSS/BSS systems, 5G architecture, and network data processing. · Strong hands-on experience with Google Cloud Platform (GCP) AI/ML services, especially Vertex AI (Workbench, Training, Prediction, Pipelines, Feature Store). · Proficiency in Python and strong experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, JAX, Hugging Face Transformers). · Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). · Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. · Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. · Strong experience designing and deploying GCP-based solutions, including use of Vertex AI, BigQuery, Dataflow, and GKE. · Fluency in infrastructure-as-code tools like Terraform, Deployment Manager, or equivalent. · Excellent problem-solving skills, with a passion for building innovative and impactful AI solutions. Job Type: Contract Pay: £450.00 per day Experience: Cloud architecture: 10 years (required) AI/ML : 5 years (required) Licence/Certification: Google Professional Cloud Architect (required)