Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Your RoleAs a Senior AI/ML Platform Engineer and Technical Lead, you will be at the heart of building and evolving the AI/ML platform that powers intelligent capabilities across the organisation. In this role, you will lead a team of professional engineers: setting clear objectives, supporting their development, and being accountable for the quality, accuracy, and timeliness of the team's output.

Acting as a key technical liaison across Cloud, Cybersecurity, Governance, and adjacent engineering teams, you will ensure the platform remains aligned with enterprise standards and emerging best practices. Your decisions will be guided by resource availability and organisational objectives, and you will contribute to defining team responsibilities, engineering standards, and platform governance practices that raise the quality bar across closely related teams.Who You Are8 or more years of relevant industry experience in software or platform engineering, including at least 2 years working with large language model operations (LLMOps) in a production environment.Hands-on experience with LLM/API gateway technologies such as LiteLLM or comparable solutions, and with multi-provider integration across major cloud AI platforms including Azure OpenAI, Azure AI Foundry,



and AWS Bedrock.Practical experience with cloud-native technologies on AWS and/or Azure, including container orchestration (such as ECS Fargate), secrets management, relational and non-relational databases, networking, and load balancing.Proficiency in developing production-grade backend services using Python and asynchronous programming frameworks;

experience with Rust is a plus.Experience with infrastructure-as-code and CI/CD tooling, including containerisation with Docker, pipeline automation with Azure DevOps, and cloud provisioning frameworks such as Terraform or CloudFormation.Familiarity with observability and monitoring tools used in AI/ML environments, such as CloudWatch, Prometheus, Grafana, or LLM-specific evaluation tooling.Experience with identity and access management technologies, including Entra ID, JWT, OIDC, SSO, API keys, and related IAM methods.Demonstrated ability to lead professional engineers, set team priorities, and drive platform quality — balancing hands-on technical depth with team accountability and a focus on scalable, well-governed engineering.We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

📌 Senior AI-ML Platform Engineer / Tech Lead (all genders) (Mollet del Vallès)
🏢 Merck
📍 Mollet del Vallès