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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 decision-making with AI.
- Benefits: Competitive salary, flexible remote work, 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: Experience leading AI/ML teams in regulated environments and expertise in machine learning.
The predicted salary is between 80000 - 120000 £ 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 Ashton-under-Lyne 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 Ashton-under-Lyne
✨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. Be ready to discuss your experience with lending systems and how you've tackled challenges in high-stakes environments. We want to see your thought process!
✨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, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in Ashton-under-Lyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your experience in AI/ML, especially in fintech or regulated environments. We want to see how your background aligns with our mission of building intelligent lending systems.
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 role at StudySmarter. Let us know how you can contribute to our vision.
Showcase Relevant Projects: If you've worked on projects that involve AI-driven lending or decisioning systems, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
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 you'll want to demonstrate your expertise and how it aligns with the company's goals.
✨Showcase Your Leadership Skills
Since this is a foundational leadership role, be prepared to discuss your experience in leading AI/ML teams. Share specific examples of how you've successfully scaled teams or projects in high-growth environments, and highlight your ability to align cross-functional teams.
✨Understand Regulatory Frameworks
Familiarise yourself with the regulatory and ethical standards that govern AI in financial services. Be ready to discuss how you’ve navigated these frameworks in past roles and how you plan to ensure compliance while driving innovation.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in building AI systems and how you overcame them. This will show your ability to adapt and think critically in high-stakes situations.