Senior MLOps Engineer
Required skills
5+ years experience with cloud infrastructure and infrastructure as code. Previous experience with the ML and LLM lifecycle - training, hosting, optimisation, observability. Used to working closely with researchers and data scientists - taking experiments from worksheets into production. Strong grasp of ML fundamentals and modern GenAI stack.
Technologies
Terraform, GCP, AWS, GitHub Actions, MLFlow, Vertex AI Pipelines, Kubernetes, vector databases, embedding pipelines, n8n, LangSmith, Claude code.
Responsibilities
Infrastructure & Platform Engineering, ML & LLMOrchestration & Observability, Performance & Optimization, AI Enablement.
Seniority
Senior.
Domain
AI, Machine Learning, MLOps, GenAI, Cloud Infrastructure.
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