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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: 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 finance with innovative AI solutions 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 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
✨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 past projects, especially those related to AI-driven systems or lending platforms. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience with AI frameworks and how you've led teams in high-stakes 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 seen by the right people.
We think you need these skills to ace Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead AI/ML Engineer role. Highlight your leadership in AI/ML teams and any relevant projects in fintech or decision systems.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about building AI-driven lending systems. Share specific examples of how you've impacted decision-making in previous roles, and don’t forget to mention your understanding of regulatory frameworks!
Showcase Your Technical Skills: In your application, be sure to detail your expertise in machine learning and production AI systems. We want to see how you’ve built or scaled lending platforms and your experience with data pipelines and decision engines.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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, the challenges you faced, and how you overcame them. This will show your depth of expertise and your ability to lead a team effectively.
✨Understand the Regulatory Landscape
Since this role involves working within regulated environments, it’s crucial to demonstrate your understanding of relevant regulatory frameworks. Prepare examples of how you've navigated compliance issues in past projects, as this will highlight your capability to operate in high-stakes situations.
✨Showcase Your Leadership Skills
This position is all about leadership, so be prepared to discuss your experience in scaling teams and driving cross-functional alignment. Share specific instances where you’ve successfully led a team through ambiguity or rapid growth, and how you fostered collaboration between different departments.
✨Prepare for Ethical AI Discussions
Given the emphasis on ethical AI and model governance, think about how you can contribute to building transparent and auditable systems. Be ready to discuss your views on ethical considerations in AI and any frameworks you’ve implemented to ensure compliance with these standards.