Job Description
Lead MLOps Engineer - London - Permanent
?? London, UK
(If you like the sound of this role and want to relocate - the Client is willing to help facilitate this move!)
This is a high-impact role within a fast-growing AI and robotics organisation focused on building advanced, scalable intelligent systems for real-world industrial applications. The position owns the machine learning infrastructure and MLOps foundations as products, platforms, and teams scale.
You will play a key role in transforming machine learning prototypes into reliable production systems, defining pragmatic engineering standards, and enabling fast, safe delivery of ML-powered capabilities. The role combines hands-on engineering, architectural ownership, and close collaboration with engineering and product teams.
Key Responsibilities
1. Own and scale the organisation's ML infrastructure and MLOps foundations
2. Design pragmatic, production-ready system architectures that balance speed, reliability, and cost
3. Build and maintain CI/CD pipelines for ML workflows and application delivery
4. Productionise ML models including training, evaluation, deployment, monitoring, and rollback strategies
5. Ensure reliability, observability, security, and performance across ML systems
6. Automate infrastructure provisioning, deployments...