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- Tasks: Lead the design and execution of AI-driven lending systems that make a real-world impact.
- Company: Join a high-growth fintech company revolutionising decision-making with AI.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on ethical AI and regulatory standards.
- Why this job: Shape the future of lending with cutting-edge AI technology in a leadership role.
- Qualifications: Experience leading AI/ML teams in financial services and deep expertise in machine learning.
The predicted salary is between 80000 - 100000 £ per year.
A high-growth, technology-led business is building next-generation, AI-powered lending and decisioning systems from the ground up. This is a foundational leadership role — owning the architecture, strategy, and execution of intelligent lending infrastructure. You’ll operate at the intersection of AI, risk, and product, shaping systems that are autonomous, scalable, and grounded in strong ethical and regulatory principles. If you’re motivated by building production-grade AI systems that directly impact real-world decision-making, this role offers both ownership and scope.
What You’ll Own:
- End-to-end design of AI-driven lending and decisioning systems (data → models → decision engines → feedback loops)
- Development of agentic AI frameworks to automate and optimise underwriting, risk, and customer journeys
- Deployment of self-improving systems with continuous learning and real-time adaptation
- Technical vision and roadmap for AI within a regulated, high-stakes environment
- Cross-functional alignment across Product, Engineering, Risk, and Operations
- Leadership and scaling of a high-performing AI/ML team
What You’ll Build:
- Intelligent risk and decisioning engines capable of operating with minimal human intervention
- Scalable data and model pipelines for high-volume, high-accuracy predictions
- Transparent, auditable AI systems aligned with regulatory and ethical standards
- Customer-centric AI experiences that improve speed, accuracy, and trust in lending
Your Background:
- Led AI/ML teams in financial services or similarly regulated environments
- Brought or scaled lending, credit, or decisioning platforms
- Deep expertise in machine learning and production AI systems
- Strong understanding of regulatory frameworks and risk management
- Ability to operate at both strategy and execution level
- Comfortable in high-growth, ambiguous environments
Differentiators (Nice to Have):
- Experience with agent-based systems or LLM-powered workflows
- Exposure to ethical AI and model governance frameworks
- Product or UX sensibility in customer-facing financial tools
- Experience scaling teams in early-stage or fast-growth environments
- Arabic or additional language capabilities
Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in City of London employer: oryxsearch.io
Contact Detail:
oryxsearch.io Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI/ML space, especially those who work at companies you're interested in. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source AI systems, make sure to highlight them in conversations. Real-world examples speak volumes about your capabilities.
✨Tip Number 3
Prepare for interviews by understanding the company’s products and challenges. Tailor your responses to show how your experience aligns with their needs, especially in building scalable and ethical AI systems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in City of London
Some tips for your application 🫡
Show Your Passion for AI/ML: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how motivated you are about building intelligent systems that make a real difference in the fintech space.
Tailor Your Experience: Make sure to highlight your relevant experience in financial services or regulated environments. We’re looking for specific examples of how you've led teams or built lending platforms, so don’t hold back on the details!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your skills and experiences effectively. Remember, less is often more!
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. Don’t miss out!
How to prepare for a job interview at oryxsearch.io
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI and machine learning, especially as it relates to lending and decision systems. Be ready to discuss specific projects you've led, the challenges you faced, and how you overcame them. This will show your depth of experience and understanding of the field.
✨Understand the Regulatory Landscape
Since this role involves working in a regulated environment, it's crucial to demonstrate your understanding of relevant regulatory frameworks. Familiarise yourself with the compliance aspects of AI in finance, and be prepared to discuss how you've navigated these challenges in past roles.
✨Showcase Your Leadership Skills
As a foundational leadership role, you'll need to highlight your experience in leading AI/ML teams. Share examples of how you've built high-performing teams, fostered collaboration across departments, and aligned technical vision with business goals. This will illustrate your capability to lead effectively in a high-growth environment.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and decision-making process. Think about real-world situations where you've had to make tough calls regarding AI implementation or risk management. Practising these scenarios will help you articulate your thought process clearly during the interview.