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- Tasks: Lead AI projects from start to finish, shaping innovative solutions in finance.
- Company: Dynamic growth equity firm focused on enterprise technology investments.
- Benefits: Attractive salary, performance bonuses, and hybrid work flexibility.
- Why this job: Be a pioneer in AI, making a real impact in the finance sector.
- Qualifications: Experience in AI engineering and strong collaboration skills required.
- Other info: Enjoy a high-autonomy role with opportunities for rapid career growth.
The predicted salary is between 160000 - 175000 £ per year.
A leading growth equity firm investing in enterprise technology businesses across the UK and Europe is hiring a Senior Applied AI Engineer - an elite, hands-on individual contributor who will play a foundational role in shaping how AI is used across the investment lifecycle.
As the sole AI Engineer, you will have responsibility for E2E delivery (yes, including all development + implementation), and the chance to build from a blank slate, shaping the firm's AI capability, including sourcing, research, diligence, and workflows. There are no plans for the AI Engineer to build a team.
Importantly, you will have worked in high-context environments where engineers work directly with end users to deliver real-world AI systems - define the technical stack, set the roadmap, and own the end-to-end delivery of internal AI systems.
This is a highly autonomous architect-led role with significant responsibility and the freedom to experiment, iterate, and drive impact quickly.
AI Engineer, E2E Product Delivery, Finance in London employer: Richard Wheeler Associates
Contact Detail:
Richard Wheeler Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer, E2E Product Delivery, Finance in London
✨Tip Number 1
Network like a pro! Reach out to people in the finance and AI sectors on LinkedIn. Join relevant groups and engage in discussions. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your AI projects, especially those that demonstrate end-to-end delivery. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common AI engineering questions and scenarios. Think about how you would approach real-world problems in finance and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AI Engineer, E2E Product Delivery, Finance in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how you've engaged with AI technologies in the past and how you envision using them in finance. Share specific projects or experiences that highlight your skills and passion.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight relevant experience in E2E delivery and working in high-context environments. We love seeing how your background aligns with our needs, so don’t hold back on the details!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Use bullet points where necessary and avoid jargon unless it’s relevant to the role. Remember, clarity is key!
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 the role. Plus, it shows you’re proactive and keen to join our team!
How to prepare for a job interview at Richard Wheeler Associates
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI technologies and methodologies. Brush up on your knowledge of E2E delivery processes, as you'll need to demonstrate how you can take a project from concept to implementation seamlessly.
✨Showcase Real-World Applications
Prepare examples of how you've successfully delivered AI systems in high-context environments. Be ready to discuss specific projects where you worked directly with end users, highlighting your role in defining the technical stack and setting the roadmap.
✨Emphasise Autonomy and Innovation
This role is all about autonomy, so be prepared to talk about times when you took initiative and drove projects forward. Share instances where you experimented and iterated on solutions, showcasing your ability to adapt and innovate quickly.
✨Understand the Finance Landscape
Since this position is within finance, it’s crucial to have a grasp of how AI can impact investment processes. Familiarise yourself with the firm's focus areas and think about how your skills can enhance their AI capabilities across sourcing, research, and workflows.