Senior Machine Learning Engineering Manager

At DeepL Voice, the Senior Machine Learning Engineering Manager leads the Production Inference team responsible for deploying language AI models efficiently and reliably at scale. This team bridges cutting-edge research with operational excellence, managing the entire model serving stack from GPU runtimes to developer platforms. They work closely with research, infrastructure, and product teams to ensure DeepL's AI models meet performance and cost targets across multiple products.

In this hybrid role based in London, Amsterdam, or Munich, the manager oversees a group of research scientists and ML engineers, focusing on people leadership and technical strategy rather than hands-on coding. They guide the team's roadmap, balancing immediate reliability needs with long-term innovation in inference efficiency and architecture. The role requires strong collaboration with adjacent teams to align research output with production demands and to avoid bottlenecks.

Candidates should have proven leadership experience managing ML or research teams, with expertise in production ML systems and model serving at scale. A strong quantitative background and familiarity with inference optimization techniques are important. The manager must communicate complex technical concepts clearly and operate autonomously in a dynamic environment. DeepL values innovation, growth, and a supportive culture, offering a purpose-driven workplace for AI professionals.