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Director of Engineering

Signify Technology

Greater London

On-site

GBP 150,000 - 200,000

16 days ago

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An innovative firm is seeking a Director of Engineering with a strong technical background in Machine Learning and AI. This pivotal role involves leading and mentoring multiple ML engineering teams, driving technical vision, and collaborating with stakeholders to align ML capabilities with business goals. The ideal candidate will have hands-on experience in building and deploying ML models, proven leadership skills, and the ability to communicate complex concepts effectively. Join a dynamic environment where your leadership can foster innovation and excellence in a rapidly growing company.

Hands-on experience in Machine Learning, Data Science, or ML Engineering.
Proven leadership experience managing ML engineers across multiple teams.

Lead and mentor multiple Machine Learning engineering teams.
Drive technical vision and strategy for ML systems.

Machine Learning

Data Science

Leadership

Technical Communication

Collaboration

Kafka

Data Lakes

Data Warehouses

This range is provided by Signify Technology. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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 oversee a few teams and only have a handful of direct reports. They are looking for a DoE who has built and led high performing teams and is not afraid to get involved hands-on occasionally.

Responsibilities:

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.

Requirements:

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.

Seniority level

Director

Employment type

Full-time

Job function

Staffing and Recruiting

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