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For Companies At a Glance
- Tasks: Lead and mentor ML engineering teams while driving technical vision and strategy.
- Company: Join Signify Technology, a partner to innovative clients in the tech industry.
- Benefits: Enjoy competitive pay, opportunities for growth, and a collaborative work culture.
- Why this job: Be part of a dynamic team shaping the future of AI and ML technology.
- Qualifications: Hands-on ML experience and proven leadership in tech are essential.
- Other info: This is a permanent role based in London, perfect for tech enthusiasts.
The predicted salary is between 72000 - 108000 £ per year.
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.
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
Director of Engineering employer: Signify Technology
Contact Detail:
Signify Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Engineering
✨Tip Number 1
Network with professionals in the Machine Learning and AI fields. Attend industry meetups, conferences, or webinars to connect with potential colleagues and leaders who can provide insights into the company culture and expectations for the Director of Engineering role.
✨Tip Number 2
Showcase your hands-on experience by discussing specific ML projects you've led or contributed to. Be prepared to share examples of how you’ve driven technical decisions and mentored teams, as this will demonstrate your capability to lead effectively in this role.
✨Tip Number 3
Familiarise yourself with the latest trends and technologies in ML and AI, especially those relevant to the company's focus. Being able to discuss current advancements and how they can be applied to enhance business goals will set you apart during discussions.
✨Tip Number 4
Prepare to articulate your vision for building high-performing teams. Think about strategies you would implement to foster collaboration and innovation, as well as how you would scale processes to support growth, which are key aspects of the role.
We think you need these skills to ace Director of Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience in Machine Learning and leadership roles. Emphasise your achievements in building and leading high-performing teams, as well as any specific projects that showcase your technical expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for ML and AI. Discuss how your background aligns with the responsibilities of the Director of Engineering role and provide examples of how you've driven technical vision and strategy in previous positions.
Showcase Leadership Skills: Highlight your leadership experience by detailing how you've mentored engineers and scaled teams. Use specific examples to demonstrate your ability to foster a collaborative culture and drive innovation within your teams.
Prepare for Technical Questions: Anticipate technical questions related to ML architectures, model performance, and MLOps during the interview process. Be ready to discuss complex concepts clearly and effectively, catering to both technical and non-technical stakeholders.
How to prepare for a job interview at Signify Technology
✨Showcase Your Technical Expertise
As a Director of Engineering, it's crucial to demonstrate your hands-on experience with Machine Learning and AI. Be prepared to discuss specific projects where you've built and deployed ML models, and articulate the technical decisions you made along the way.
✨Highlight Leadership Experience
Emphasise your proven leadership skills by sharing examples of how you've managed and scaled high-performing teams. Discuss your approach to mentoring engineers and fostering a collaborative culture, as this is key for the role.
✨Communicate Effectively
You’ll need to convey complex ML concepts to both technical and non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on how they align with business goals and the impact they had on the organisation.
✨Prepare for Hands-On Scenarios
Since the role requires occasional hands-on involvement, be ready to discuss situations where you rolled up your sleeves to guide technical decisions. This will show your willingness to engage directly with the teams and your commitment to driving innovation.
