Software Engineer (AI Platform)

TL;DR

Software Engineer (AI Platform): Develop and maintain the AI infrastructure platform enabling production-grade machine learning products with an accent on MLOps tooling, scalable deployment, and multi-cloud integration. Focus on designing infrastructure-as-code, container orchestration, and DevSecOps processes to support distributed microservices architectures.

Location: Hybrid in London, United Kingdom

Company

hirify.global is a product company specializing in human-centric AI, working with global clients across government, finance, retail, energy, life sciences, and defence since 2014.

What you will do

• Own and enhance deployment and MLOps tooling to ensure quality and reliability of software delivery.
• Develop new features for notebook environments and improve model monitoring systems.
• Collaborate with a small, fast-moving team to design and build infrastructure for delivery teams.
• Implement infrastructure-as-code and DevSecOps processes for containerized microservices.
• Integrate platform services across AWS, Azure, and GCP for global client solutions.
• Scale internal enablement capabilities to accelerate machine learning deployment.

Requirements

• Location: Must be based in or able to work hybrid in London, United Kingdom
• Strong software engineering skills in Python or Go.
• Experience with containerization and orchestration using Docker and Kubernetes.
• Proficiency in Infrastructure-as-Code tools like Terraform or CloudFormation.
• Understanding of machine learning product lifecycle and MLOps.
• Ability to work in small teams with high ownership and effective communication.

Culture & Benefits

• Unlimited annual leave policy.
• Private healthcare and dental coverage.
• Enhanced parental leave and family-friendly flexibility.
• Sanctus coaching and hybrid working model.

Hiring process

• Initial talent team screen (30 minutes).
• Pair programming interview (90 minutes).
• System design interview (90 minutes).
• Commercial interview (60 minutes).