Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and development of AI-driven lending systems that make a real-world impact.
- Company: Join a high-growth fintech company revolutionising lending with cutting-edge AI technology.
- Benefits: Enjoy competitive salary, flexible remote work options, and opportunities for professional growth.
- Other info: Be part of a collaborative team focused on innovation and ethical decision-making.
- Why this job: Shape the future of finance with autonomous, ethical AI systems in a dynamic environment.
- Qualifications: Proven experience leading AI/ML teams in regulated financial services and strong machine learning expertise.
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 Leeds 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 Leeds
✨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 a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI and machine learning. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience with building AI systems and how you've tackled challenges in high-stakes environments.
✨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 are proactive about their job search.
We think you need these skills to ace Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in Leeds
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 lending and decision-making.
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 platforms that align with our mission at StudySmarter.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for this foundational leadership role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
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 in the context of lending and decision systems. Be ready to discuss specific projects you've led or contributed to, focusing on the architecture and strategy behind them.
✨Showcase Your Leadership Skills
This role is all about leadership, so prepare examples that highlight your experience in leading AI/ML teams. Think about challenges you've faced, how you motivated your team, and the impact your leadership had on project outcomes.
✨Understand Regulatory Frameworks
Since this position involves working within regulated environments, be prepared to discuss your understanding of regulatory frameworks and risk management. Bring examples of how you've navigated these complexities in past roles.
✨Align with Company Values
Research the company's mission and values, especially around ethical AI and customer-centric solutions. Be ready to articulate how your personal values align with theirs and how you can contribute to building transparent and auditable AI systems.