Senior AI/ML Platform Engineer (Cloud & DevOps)

About the role

The Senior AI/ML Platform Engineer owns the cloud infrastructure, CI/CD and platform tooling behind the team's Generative AI and Natural Language Processing (NLP) applications and services. The role works directly alongside data scientists and engineers, with autonomy to propose and test new tools, and offers growth into areas such as infrastructure for AI agents and Model Context Protocol (MCP) servers. It sits in a cross-disciplinary team focused on drug discovery and development.

Key responsibilities

• Build self-service paths for data scientists and developers to ship their work, using shared enterprise platforms or custom AWS infrastructure as needed
• Partner with stakeholders to validate requirements and examine them for assumptions, feasibility, consistency and completeness
• Shape infrastructure, CI/CD and operational standards, and write technical specifications weighing trade-offs and risks
• Make builds and releases fast, secure and repeatable, with reviews, automated quality gates and change control
• Provision, scale, patch and upgrade cloud environments, and tune cost, capacity and performance
• Track SRE metrics, run monitoring, issue triage and root cause analysis, and integrate agents into operations such as alert triage and incident diagnosis
• Mentor colleagues, review code and design, and produce documentation and onboarding materials

Required profile

• 5+ years of professional experience in cloud, DevOps or platform engineering
• 3+ years writing Infrastructure as Code (e.g. Terraform) and CI/CD pipelines (e.g. GitHub Actions) on a major cloud provider (AWS preferred)
• Experience owning production operations, including monitoring and incident management
• Bachelor's degree in Computer Science, Information Systems or a related field, or equivalent practical experience

Required skills

• AWS, Cloud networking, Data engineering, Machine Learning, Python, Git, GitHub, Shell scripting
• Preferred: Generative AI, System integration and testing

What we offer

• Hybrid working model and flexible role pattern
• Competitive salary and incentive pay, pension and health insurance contributions
• Annual leave, paid sick leave, parental contribution and 40 paid hours for volunteering
• Cafeteria with tax-free benefits, multisport card, Vodafone, bank and food delivery discounts, parking, showers and refreshments
• Professional growth through learning platforms, conferences and communities of practice