Lead ML Engineer (MLOps)

Location: London, hybrid

Company

hirify.global is a data-driven financial services organisation developing and operating machine-learning systems in production.

What you will do

• Establish reusable patterns for model serving, pipelines, packaging, versioning, and deployment.
• Define standards for CI/CD, monitoring, observability, and production readiness.
• Provide technical direction for machine-learning solutions delivered across the organisation.
• Evolve platform capabilities and reduce reliance on bespoke productionisation approaches.
• Enable Data Science teams to deliver reliable models from experimentation into production.

Requirements

• Experience building and operating production ML systems, including serving, monitoring, and lifecycle management.
• Strong understanding of batch and real-time serving patterns and the path from model training to production.
• Experience defining engineering approaches, technical standards, and reusable patterns across teams.
• Hands-on experience with cloud ML platforms such as AWS SageMaker and orchestration tools such as Airflow or Step Functions.
• Strong communication and collaboration skills across Data Science, Engineering, and Data Platforms.

Culture & Benefits

• Permanent full-time employment.
• Inclusive working culture that values diversity and equal opportunity.
• Reasonable adjustments are available for candidates who need accommodations during the application and interview process.