Senior MLOps Engineer (AI)

Location: London, UK

Company

hirify.global provides asset servicing, banking, payments, fund administration, custody, and operational solutions for alternative investment funds as part of Mitsubishi UFJ Financial Group.

What you will do

• Design, deploy, and maintain AI agents on Agent Core MCP servers and MCP gateways.
• Build secure, highly available, scalable, and cost-optimized infrastructure for AI workloads.
• Implement observability for logs and traces with OpenTelemetry and Datadog.
• Support AI researchers, data scientists, and engineering teams with infrastructure and production deployments.
• Develop AWS Boto3 automation, Terraform Infrastructure as Code, CI/CD pipelines, and deployment workflows.
• Perform load testing, token cost measurement, vulnerability assessments, troubleshooting, audits, and architecture documentation.

Requirements

• 5+ years of experience in platform engineering or DevOps.
• Strong knowledge of DevOps workflows, platform engineering, security, cost optimization, and performance testing.
• Hands-on AWS experience and proficiency with Python, Node, or Go for backend and automation work.
• Experience with API design, microservices, Kubernetes or EKS, and cloud-native architectures.
• Familiarity with OpenTelemetry, Datadog, observability tooling, and CI/CD.
• Interest in Model Context Protocol and AI agent frameworks.

Nice to have

• Experience with AI/ML platforms or deploying AI agents in production.
• Exposure to high-scale distributed systems and cloud infrastructure.
• AWS certifications.

Culture & Benefits

• High-visibility AI initiative with collaboration across research, data science, backend, frontend, and technical teams.
• Opportunity to work with cutting-edge AI technologies and leading experts.
• Connected team culture focused on innovation and client outcomes.
• Permanent full-time employment within a major financial group.

Hiring process

• Only candidates progressing to the interview stage will be contacted.