MLOps Engineer

MLOps Engineer focuses on own, improve, and standardise company infrastructure across aws, azure, gcp, and on-premises/proxmox environments.

What the role involves

• Own, improve, and standardise company infrastructure across AWS, Azure, GCP, and on-premises/Proxmox environments.
• Build infrastructure for new trading, ML, and data engineering projects.
• Managing cloud networking, IAM, security boundaries, secrets, and deployment environments.
• Design decisions across the company's infrastructure estate.
• Maintain containerised workloads using Docker, Kubernetes, EKS, Azure Container Apps, and Cloud Run.
• Maintaining and improve infrastructure as code using Terraform and Ansible.

Skills and requirements

• 3+ years of professional experience in DevOps, infrastructure engineering, platform engineering, SRE, or cloud engineering.
• Strong hands-on experience operating production infrastructure.
• Cloud architecture certifications from AWS, Azure, or GCP.
• 28 days paid annual leave plus UK bank holidays.

Candidate fit

• automation discipline, troubleshooting, documentation, and confidence with operational reliability

Additional role context

• Our platforms serve both enterprise clients and a growing retail user base across multiple countries.
• Backed by a team of researchers, engineers, and financial experts, Predictiva is recognised as one of the Top 50 Data-Driven AI Startups in Europe and is a winner of the Innovate U.