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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 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
- 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 Altrincham 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 Altrincham
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI/ML space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. 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 can be a game-changer during interviews, as it gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of machine learning algorithms and frameworks. Practice coding challenges and system design questions that are relevant to AI-driven lending systems. We want you to feel confident and ready to impress!
✨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 take the initiative to connect directly with us!
We think you need these skills to ace Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in Altrincham
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 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 in this role, think about how you've approached ethical considerations in your past work. Be ready to discuss your views on model governance and how you would implement transparent, auditable AI systems that align with regulatory standards.