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- Tasks: Lead a high-performing engineering team to build secure AI systems for financial services.
- Company: Exciting London-based AI startup with strong investor backing.
- Benefits: Competitive salary, growth opportunities, and a chance to shape engineering culture.
- Why this job: Be at the forefront of AI innovation and make a real impact in finance.
- Qualifications: Proven engineering leadership and experience with AI/ML systems.
- Other info: Join a dynamic team and help scale cutting-edge technology.
The predicted salary is between 72000 - 108000 £ per year.
My client is a London-based agentic AI startup building production-grade AI systems for financial services. Backed by strong investors and already working with regulated institutions, they are now looking for a Head of Engineering to lead their next phase of scale.
You’ll own engineering execution, scale, architecture, and team growth - working closely with the founders to turn cutting-edge agentic AI into secure, scalable, real-world products.
- Lead and scale a high-performing engineering team
- Productionise agentic AI / LLM-driven systems
- Build robust, secure systems for regulated financial environments
- Set engineering culture, standards, and best practices
Requirements:
- Proven engineering leadership experience
- Strong backend / platform engineering background
- Experience working with AI/ML systems (LLMs, applied AI)
- Experience with financial services, fintech, or regulated domains
Director, Engineering - ML / AI in City of London employer: EC1 Partners
Contact Detail:
EC1 Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, Engineering - ML / AI in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and financial services sectors. Attend meetups, webinars, or industry events where you can chat with folks who might know about opportunities at startups like the one you're eyeing.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website that highlights your engineering projects, especially those related to AI/ML. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in agentic AI. Be ready to discuss how you can lead a high-performing engineering team and scale innovative solutions in regulated environments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Director, Engineering - ML / AI in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Director, Engineering role. Highlight your leadership experience and any work you've done with AI/ML systems, especially in regulated environments like financial services.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about agentic AI and how your background makes you the perfect fit for our team. Be specific about your achievements and how they relate to the job description.
Showcase Your Technical Skills: In your application, don’t shy away from detailing your backend and platform engineering expertise. We want to see how you’ve built robust systems and led teams in the past, so give us the juicy details!
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 efforts.
How to prepare for a job interview at EC1 Partners
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest trends and technologies in AI and ML, especially as they relate to financial services. Brush up on your knowledge of LLMs and how they can be applied in regulated environments, as this will show your potential employer that you’re not just familiar with the tech but can also lead its application.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led engineering teams in the past. Think about specific challenges you faced, how you motivated your team, and the outcomes of your leadership. This is crucial for a role that requires setting engineering culture and standards.
✨Understand the Financial Landscape
Familiarise yourself with the financial services sector and the unique challenges it faces, especially regarding compliance and security. Being able to discuss these aspects intelligently will demonstrate your readiness to build robust systems in a regulated environment.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your interest in the company’s vision and the role. Inquire about their current projects, team dynamics, and how they envision the future of agentic AI in financial services. This shows you’re not just looking for a job, but are genuinely interested in contributing to their mission.
