MLOps Engineer – AI Infrastructure & Deployment

Location: Greater London

# MLOps Engineer – AI Infrastructure & Deployment London, United Kingdom May 14, 2026

Full Time Apply Now###

Job Description
*
* Location:

** London, UK  
** Work Model:
** On-site  
** Role Type:
** Full-Time We are looking for an
** MLOps Engineer
** with strong experience in AI infrastructure and machine learning deployment to join our client’s on-site team in London.

This role focuses on building scalable MLOps platforms and deployment pipelines that enable reliable, efficient, and production-ready machine learning systems.

---###
** What You’ll Do
*** Design and maintain MLOps infrastructure supporting machine learning lifecycle management
* Build CI/CD pipelines for training, testing, deployment, and monitoring of ML models
* Deploy and manage machine learning workloads in cloud environments
* Automate model versioning, retraining, and performance monitoring workflows
* Collaborate with data scientists and engineering teams to product ionise AI systems
* Improve scalability, observability, and reliability of ML platforms
* Implement Infrastructure as Code and automation best practices---###
** What We’re Looking For**####
** Required Skills & Experience
*** Strong experience with MLOps workflows and AI infrastructure
* Experience with cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure
* Experience with containerisation using Docker and orchestration via Kubernetes
* Strong Python and automation skills
* Experience with CI/CD pipelines and Infrastructure as Code
* Familiarity with monitoring and observability tools---####
** Nice to Have
*** Experience with feature stores and experiment tracking
* Familiarity with GenAI and LLM deployment workflows
* Experience with distributed ML training systems
* Knowledge of model governance and AI compliance practices--
- Location:

London, UK   Work Model:
On-site   Role Type:
Full-Time
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