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- Tasks: Lead engineering strategy and team growth in a cutting-edge AI company.
- Company: Join a fast-growing AI firm revolutionising real-time market intelligence for top financial institutions.
- Benefits: Enjoy a full-time role with opportunities for remote work and a vibrant team culture.
- Why this job: Be at the forefront of technology, shaping products that impact the financial sector.
- Qualifications: 8+ years in engineering leadership, preferably in AI/ML or data-focused environments.
- Other info: This is a senior director-level position with a focus on team building and technical excellence.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Direct message the job poster from Explore Group
I’m working with a fast-growing AI company at the forefront of real-time market intelligence, supporting some of the world’s leading financial institutions. They’re now looking for a Head of Engineering (or VP of Engineering) to lead their next stage of technical and team scale-up.
This is a strategic and hands-on leadership role, combining technical vision, team growth, and delivery across products powered by LLMs, forecasting models, and scalable API platforms.
Key Responsibilities
- Own the technical strategy and execution across the company’s core products, including real-time APIs, data pipelines, and LLM-powered analytics.
- Collaborate closely with Product and Data Science to deliver a forward-thinking technology roadmap.
- Lead, mentor, and scale a high-performing engineering team (currently ~10), nurturing a culture of ownership, speed, and technical excellence.
- Make key architectural decisions, ensuring system scalability and data infrastructure performance.
- Maintain high engineering standards while remaining close to critical technical choices.
- Recruit top talent and build a strong, inclusive team culture.
- Oversee DevOps, InfoSec, and internal IT, ensuring smooth and secure operations.
- Sit on the leadership team and act as a key bridge between engineering, product, and commercial.
What I’m Looking For
- 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments.
- Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments is a bonus.
- Strong technical foundation in Python, distributed systems, cloud infrastructure (Azure preferred), and modern scalable architectures.
- Solid grasp of Agile practices, continuous delivery, and high-performing lean teams.
- People-first leadership style, with a proven ability to build and nurture high-performing teams.
- Exposure to machine learning, NLP, or financial data products is highly advantageous.
- Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter.
Additional Info
Seniority level
-
Seniority level
Director
Employment type
-
Employment type
Full-time
Job function
-
Industries
Staffing and Recruiting
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Head of Engineering (London) employer: Explore Group
Contact Detail:
Explore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Engineering (London)
✨Tip Number 1
Network with professionals in the AI and engineering sectors. Attend industry meetups or conferences where you can connect with potential colleagues or even the hiring team. This can give you insights into the company culture and expectations.
✨Tip Number 2
Showcase your leadership experience by discussing specific examples of how you've scaled teams in previous roles. Be prepared to share your approach to nurturing a high-performing team and how you’ve fostered a culture of ownership and technical excellence.
✨Tip Number 3
Familiarise yourself with the latest trends in AI, machine learning, and data analytics. Being able to discuss current technologies and methodologies will demonstrate your commitment to staying at the forefront of the industry.
✨Tip Number 4
Prepare to discuss your vision for the technical strategy of the company. Think about how you would approach architectural decisions and system scalability, as well as how you would align engineering efforts with product and commercial goals.
We think you need these skills to ace Head of Engineering (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your engineering leadership experience, particularly in B2B SaaS and AI/ML environments. Emphasise your achievements in team growth and technical strategy.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and leadership. Discuss how your experience aligns with the company's goals and your vision for leading a high-performing engineering team.
Showcase Technical Skills: Clearly outline your technical skills relevant to the role, such as Python, cloud infrastructure (especially Azure), and Agile practices. Provide examples of how you've applied these skills in previous roles.
Highlight People-First Leadership: Demonstrate your people-first leadership style by sharing specific examples of how you've built and nurtured high-performing teams. This will resonate well with the company's culture and values.
How to prepare for a job interview at Explore Group
✨Showcase Your Technical Vision
As a Head of Engineering, you'll need to demonstrate a clear technical vision. Be prepared to discuss your approach to developing scalable architectures and how you would implement them in the company's core products.
✨Highlight Team Leadership Experience
Emphasise your experience in leading and mentoring engineering teams. Share specific examples of how you've nurtured a culture of ownership and speed, and how you've successfully scaled teams in previous roles.
✨Discuss Collaboration with Other Departments
This role requires close collaboration with Product and Data Science teams. Be ready to explain how you've worked cross-functionally in the past and how you plan to align engineering efforts with product goals.
✨Prepare for Questions on Agile Practices
Given the emphasis on Agile practices and continuous delivery, be prepared to discuss your experience with these methodologies. Share examples of how you've implemented Agile processes to improve team performance and project outcomes.
