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 team-focused leader who empowers engineers, fosters collaboration, and drives innovation.