Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead engineering strategy and scale a high-performing team in an innovative AI company.
- Company: Fast-growing AI firm revolutionising market intelligence for top financial institutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Join a dynamic team at the forefront of AI technology and make a real impact.
- Qualifications: 8+ years in engineering leadership, strong technical skills, and a people-first approach.
- Other info: Exciting opportunity to shape the future of AI in a fast-paced environment.
The predicted salary is between 72000 - 108000 £ per year.
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.
- 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.
Head of Engineering in England employer: Explore Group
Contact Detail:
Explore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Engineering in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering space. Attend industry meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website that highlights your projects, achievements, and leadership style. This is your chance to demonstrate your technical vision and how you’ve scaled teams in the past.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s products and tech stack. Understand their challenges and come armed with ideas on how you can contribute to their growth. This shows you’re not just interested in the role, but genuinely invested in their success.
✨Tip Number 4
Apply through our website! We make it easy for you to connect with us directly. Plus, it gives you a better chance to stand out and show your enthusiasm for joining our team. Don’t miss out on this opportunity!
We think you need these skills to ace Head of Engineering in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of Engineering role. Highlight your leadership experience, technical expertise, and any relevant projects you've led in AI/ML or data-focused environments.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share your vision for engineering leadership and how you plan to nurture a high-performing team while driving technical strategy.
Showcase Your Technical Skills: Don’t shy away from detailing your technical foundation. Mention your experience with Python, cloud infrastructure, and any architectural decisions you've made that demonstrate your ability to scale systems effectively.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to lead our engineering team!
How to prepare for a job interview at Explore Group
✨Know Your Tech Inside Out
As a Head of Engineering, you’ll need to demonstrate a solid grasp of the technical foundations required for the role. Brush up on your knowledge of Python, distributed systems, and cloud infrastructure, especially Azure. Be ready to discuss how you've applied these technologies in past projects.
✨Showcase Your Leadership Style
This role demands a people-first leadership approach. Prepare examples that highlight how you've built and nurtured high-performing teams. Think about specific instances where you’ve mentored team members or fostered a culture of ownership and speed.
✨Align with Their Vision
Understand the company’s core products and their technology roadmap. Be prepared to discuss how you would own the technical strategy and execution. Show them you can bridge the gap between engineering, product, and commercial by sharing your vision for collaboration.
✨Prepare for Scenario Questions
Expect questions that assess your ability to make key architectural decisions and maintain high engineering standards. Think through scenarios where you had to ensure system scalability and data performance, and be ready to explain your thought process and outcomes.