About this role
ML/AI Engineer at Lbg. Location: Manchester, England, United Kingdom. Role: operating Kubernetes, building pipelines, deploying models Requirements: Hands-on ML/AI engineering experience with Python, Kubernetes, GPU optimisation, model deployment, CI/CD (Harness or similar), observability (Prometheus/Grafana/Dynatrace), MLflow, and GitOps practices. Category: Engineering Seniority: Senior Level Tools: Python, Kubernetes, Docker, Helm, Harness, CUDA, TensorRT, NVIDIA Triton, TorchServe, Prometheus, Grafana, Dynatrace, MLflow, Git, GitOps, GKE, Cloud Run, Pub/Sub, BigQuery, Vertex AI, Ray, Kubeflow, LangGraph, LangChain, Model Context Protocol (MCP), Google ADK Commitment: Full Time Workplace: Hybrid Languages: English