MLOps Engineer

Job Description

Senior MLOps Engineer London (Hybrid) | £75,000 - £85,000 + Bonus + Benefits This is an opportunity to take ownership of the infrastructure powering a growing AI platform. You'll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact. The Company A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability. The Role Own and develop the MLOps infrastructure supporting AI services. Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect. Deploy and manage ML workloads on Kubernetes and cloud platforms. Implement CI/CD, observability, and monitoring across production systems. Develop infrastructure using Terraform, Bicep, or similar IaC tools. Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments. Your Skills & Experience Strong Python software engineering skills. Commercial MLOps experience in production environments. Hands-on Kubernetes expertise. Experience with workflow orchestration platforms. Infrastructure as Code and CI/CD experience. Understanding of production ML, NLP, or AI systems.