AI Engineer

AI Engineer – Contract Edinburgh (2 days onsite per week) Long-term Contract Competitive Day Rate GCP-Focused Environment We’re looking for an experienced AI Engineer to join a growing team delivering enterprise-scale AI and Generative AI solutions within a Google Cloud Platform (GCP) environment. This is a long-term contract opportunity for someone who enjoys building production-ready AI systems, deploying scalable ML pipelines, and working across modern LLM and cloud-native technologies. Responsibilities • Design, develop, and deploy AI/ML and Generative AI applications within a GCP ecosystem • Build and optimise LLM-powered applications including RAG pipelines, semantic search, AI agents, and intelligent automation workflows • Develop scalable ML pipelines covering data ingestion, training, evaluation, deployment, and monitoring • Work with embeddings, vector databases, prompt engineering, and model optimisation techniques • Build cloud-native AI services using GCP technologies such as Vertex AI, BigQuery, Cloud Run, GKE, and Pub/Sub • Collaborate with engineering, data, and business teams to deliver production-grade AI solutions • Implement CI/CD, observability, security, and governance best practices for AI systems • Support rapid prototyping and experimentation across new AI initiatives Required Skills & Experience • Strong commercial experience as an AI Engineer, ML Engineer, Applied AI Engineer, or Data Scientist • Hands-on experience with Generative AI and modern LLM ecosystems • Experience building RAG systems, AI agents, or LLM-powered enterprise applications • Strong Python engineering skills and experience with frameworks such as PyTorch, TensorFlow, Scikit-learn, LangChain, or similar • Strong experience working within GCP environments • Experience with Vertex AI, BigQuery, GKE, Cloud Run, or related GCP services • Familiarity with vector databases, embeddings, and semantic retrieval systems • Experience with Docker, Kubernetes, APIs, backend systems, and CI/CD pipelines • Strong understanding of scalable production AI deployment Desirable Experience • Experience with Gemini, OpenAI, Claude, Bedrock, or other enterprise LLM platforms • Exposure to MLOps tooling such as MLflow, Airflow, Kubeflow, or Databricks • Experience with streaming/data processing tools such as Spark or Kafka • Previous experience within enterprise or highly regulated environments