Software Engineer - Platform

As Software Engineer in the AI Platform team, you will architect and maintain the infrastructure that enables world-class AI. You’ll work with a tight-knit group of data scientists and engineers to run data science, MLOps, and deployment tooling at scale. Your work bridges exploration and production, ensuring high performance, scalability, and seamless client integration. This role offers the chance to shape how we deploy responsible AI across diverse environments, with a strong focus on impact and reliability.

• Unlimited Annual Leave Policy
• Private healthcare and dental
• Enhanced parental leave
• Family-Friendly Flexibility & Flexible working
• Hybrid Working
• Sanctus Coaching

• Own deployment and MLOps tooling to improve software quality and reliability
• Evolve the tech stack by adding features to notebook environments and refining model monitoring
• Collaborate with a small, fast-moving team of customer-facing technologists to design core infrastructure
• Design and implement infrastructure-as-code and DevSecOps for distributed, containerised microservices
• Integrate core platform services across AWS, Azure, and GCP for global clients
• Scale enablement capabilities to remove friction and accelerate ML deployment

• Software Engineer with a passion for internal tools and foundational systems
• Understanding of the ML product lifecycle from exploration to production
• Proficiency in Python or Go for systems programming
• Experience with containerisation and orchestration (Docker, Kubernetes)
• Strong IaC background using Terraform or CloudFormation
• Deep interest in DevSecOps practices
• Comfort working in small, ownership-driven teams with strong communication skills

• ownership mindset
• clear communication with technical and non-technical peers
• collaborative and entrepreneurial attitude
• Python
• Go
• Docker