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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 lending with AI technology.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant career advancement in a fast-paced environment.
- Why this job: Shape the future of lending with cutting-edge AI and ethical decision-making.
- 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 Leigh 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 Leigh
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI/ML space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to lending and decision systems. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience with building scalable AI systems and how you’ve led teams in high-stakes environments. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that dream job!
We think you need these skills to ace Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in Leigh
Some tips for your application 🫡
Show Your Passion for AI/ML: When writing your application, let us see your enthusiasm for AI and machine learning! Share specific projects or experiences that highlight your skills and how they relate to the role. We love seeing candidates who are genuinely excited about building intelligent systems.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your experience in fintech and decision systems, and don’t forget to mention any leadership roles you've had. We want to see how your background aligns with our mission at StudySmarter!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your achievements and skills. We appreciate a well-structured application that gets straight to the good stuff!
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 the role. Plus, it shows you’re serious about joining our team at StudySmarter!
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 in a regulated environment.
✨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 scaled teams or projects in high-growth environments, and highlight your ability to align cross-functional teams towards a common goal.
✨Demonstrate Ethical Awareness
Given the importance of ethical AI in this role, come ready to discuss how you’ve implemented ethical considerations in your past projects. Be prepared to talk about regulatory frameworks and how you ensure compliance while still driving innovation in AI systems.
✨Prepare for Technical Questions
Expect deep technical questions about AI-driven lending systems, model pipelines, and risk management. Brush up on your technical skills and be ready to explain complex concepts in a way that’s easy to understand, showing that you can communicate effectively with both technical and non-technical stakeholders.