At a Glance
- 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 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 scaling.
- 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 - 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 London employer: LinkedIn
As a Lead AI/ML Engineer at our high-growth fintech company, you'll be part of a dynamic and innovative work culture that prioritises collaboration and ethical decision-making. We offer competitive benefits, opportunities for professional development, and the chance to shape cutting-edge AI systems that have a real impact on lending practices. Whether you choose to work from our vibrant Dubai office or remotely, you'll enjoy a supportive environment that fosters creativity and growth.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI/ML space on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to lending or decision systems. This gives 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 regulatory frameworks and risk management, as these are crucial in this role.
✨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 that extra step!
We think you need these skills to ace Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in London
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 regulated environments. 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 Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in AI/ML, especially in lending and risk management. We love seeing real-world applications of your skills.
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 to do!
How to prepare for a job interview at LinkedIn
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and machine learning, especially in the context of fintech. Be ready to discuss specific projects you've worked on, particularly those involving lending systems or decision-making frameworks. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Leadership Skills
Since this is a foundational leadership role, be prepared to talk about your experience leading AI/ML teams. Share examples of how you've scaled teams or managed cross-functional projects. Highlight your ability to align different departments like Product, Engineering, and Risk towards a common goal.
✨Understand Regulatory Frameworks
Familiarise yourself with the regulatory and ethical standards relevant to AI in financial services. Be ready to discuss how you've navigated these frameworks in past roles. This will demonstrate your awareness of the importance of compliance in high-stakes environments.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in previous roles, especially around building scalable AI systems or optimising customer journeys. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
