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- 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 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 collaboration.
- Why this job: Shape the future of lending with cutting-edge AI technology in a leadership role.
- Qualifications: Proven experience leading AI/ML teams in regulated environments and building decisioning platforms.
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 Bury 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 Bury
✨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 or decision systems. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨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-pressure environments. Practice makes perfect!
✨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 the attention it deserves.
We think you need these skills to ace Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in Bury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead AI/ML Engineer. Highlight your experience in building AI systems, especially in fintech or lending. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and decision-making systems, and explain why you’re excited about this opportunity at StudySmarter. Let us know how you can contribute to our vision.
Showcase Your Leadership Skills: Since this is a foundational leadership role, don’t forget to highlight your experience leading AI/ML teams. We’re looking for someone who can inspire and scale a high-performing team, so share those success stories!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. 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 brush up on your knowledge of AI and machine learning concepts, especially as they relate to lending and decision systems. Be prepared to discuss your previous projects in detail, focusing on the architecture and strategies you've implemented.
✨Showcase Your Leadership Skills
Since this is a foundational leadership role, be ready to share examples of how you've successfully led AI/ML teams in the past. Highlight your experience in scaling teams and aligning cross-functional efforts, as this will demonstrate your capability to drive results in a high-growth environment.
✨Understand Regulatory Frameworks
Familiarise yourself with the regulatory frameworks relevant to fintech and lending. Be prepared to discuss how you've navigated these regulations in your previous roles and how you plan to ensure compliance while building innovative AI systems.
✨Prepare for Ethical Discussions
Given the emphasis on ethical AI, think about how you've approached ethical considerations in your work. Be ready to discuss your views on model governance and how you would implement transparent, auditable AI systems that align with regulatory standards.