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- Tasks: Lead a high-performing engineering team to deliver innovative AI solutions.
- Company: A leading AI technology firm in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Shape the future of AI in regulated environments and drive impactful change.
- Qualifications: Proven experience in AI/ML systems and financial services is essential.
- Other info: Join a dynamic team and influence engineering culture and best practices.
The predicted salary is between 54000 - 84000 £ per year.
A leading AI technology firm in the UK is seeking an experienced Engineering Manager to lead a high-performing engineering team. In this role, you will be responsible for driving delivery, platform reliability, and technical direction while working on innovative AI-powered solutions for regulated environments.
The ideal candidate has proven experience with AI/ML systems and financial services. This position offers an opportunity to shape engineering culture and best practices.
Head of AI Engineering & Agentic Systems employer: EC1 Partners
Contact Detail:
EC1 Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI Engineering & Agentic Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those who work in financial services. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies of your past projects in AI/ML systems. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing common questions related to engineering management and AI technologies. We can help you with mock interviews if you need it!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Head of AI Engineering & Agentic Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML systems and financial services. We want to see how your background aligns with the role of Head of AI Engineering & Agentic Systems, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading engineering teams and how you can contribute to our innovative AI-powered solutions. Let us know what excites you about this opportunity!
Showcase Your Leadership Skills: As an Engineering Manager, your leadership style matters. In your application, share examples of how you've driven delivery and platform reliability in previous roles. We’re keen to see how you’ve shaped engineering culture and best practices!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at EC1 Partners
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI and ML systems, especially in the context of financial services. Be ready to discuss specific projects you've worked on and how they relate to the role. This will show that you’re not just familiar with the technology but can also apply it effectively.
✨Showcase Your Leadership Skills
As a Head of AI Engineering, you'll need to demonstrate your ability to lead a high-performing team. Prepare examples of how you've successfully managed teams in the past, focusing on how you drove delivery and fostered a positive engineering culture. Highlight any best practices you've implemented.
✨Understand the Company’s Vision
Research the company’s mission and recent projects. Being able to articulate how your experience aligns with their goals will set you apart. It shows that you’re genuinely interested in the role and can contribute to their innovative AI-powered solutions.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving skills and understanding of platform reliability. Brush up on relevant algorithms, system design, and troubleshooting techniques. Practising with mock interviews can help you feel more confident when tackling these questions.
