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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: Dynamic, fast-paced environment with a focus on ethical AI and team scaling.
- Why this job: Shape the future of lending with cutting-edge AI technology in a leadership role.
- Qualifications: Experience leading AI/ML teams in regulated environments and 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
- Built 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 Bradford 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 Bradford
✨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. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with cross-functional teams.
✨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 Bradford
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 your passion aligns with our mission of building intelligent lending systems that make a real-world impact.
Tailor Your Experience: Make sure to highlight your relevant experience in financial services or regulated environments. We’re looking for someone who has led AI/ML teams and built decisioning platforms, so be specific about your achievements in these areas.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and how they relate to the role. Avoid jargon unless it’s necessary!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at oryxsearch.io
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI and ML trends, especially those relevant to fintech. Brush up on your knowledge of lending systems and decision-making frameworks, as this will show your potential employer that you’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Leadership Skills
Since this is a foundational leadership role, be prepared to discuss your experience leading AI/ML teams. Share specific examples of how you've built or scaled teams in high-growth environments, and highlight your ability to align cross-functional teams towards a common goal.
✨Understand Regulatory Frameworks
Given the nature of the role, having a solid grasp of regulatory frameworks and risk management is crucial. Be ready to discuss how you’ve navigated these challenges in past projects and how you plan to ensure compliance while driving innovation.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you’ve faced in previous roles, particularly around building autonomous systems, and be ready to explain your thought process and the outcomes.