Role: Director of Engineering Location: London, England Contract: Permanent
Signify have partnered with a long standing client who are looking for a Director of Engineering who comes from a strong technical background. Expertise with ML and a strong interest in AI is a massive plus.
You will overseeing a few team and only have a handful of direct reports. They are looking for a DoE who has built and lead high performing teams. Who is not afraid in getting involved with hands on occasionally.
Role: Lead, mentor, and scale multiple Machine Learning engineering teams, empowering both individual contributors and managers. Drive the technical vision and strategy for ML systems, ensuring best practices in architecture, scalability, and performance. Collaborate with stakeholders across product, data, and executive teams to align ML capabilities with business goals. Roll up your sleeves when needed—help guide complex technical decisions and review key ML and engineering work. Build and foster a high-performing, collaborative culture, where innovation and excellence thrive. Scale teams and processes to support hyper-growth and evolving ML capabilities.
Reequipments: Hands-on experience in Machine Learning, Data Science, or ML Engineering—you’ve built and deployed ML models before stepping into leadership. Proven leadership experience managing ML engineers and engineering managers across multiple teams. Strong technical expertise—you can confidently discuss ML architectures, model performance, MLOps, and data pipelines. Understanding of AI or have experience using it Experience with Kafka, Datalakes and Data warehouses Experience in scaling teams and engineering processes in a mid-sized or scale-up company. Ability to communicate complex ML concepts and technical decisions effectively to both technical and non-technical stakeholders. A t eam-focused leader who empowers engineers, fosters collaboration, and drives innovation.
