At a Glance
- Tasks: Lead the design and execution of AI-driven lending systems that make a real-world impact.
- Company: Fast-growing fintech company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Join a dynamic team in a high-growth environment with excellent career advancement potential.
- 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 strong machine learning expertise.
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 Leigh employer: LinkedIn
As a Lead AI/ML Engineer at our high-growth fintech company, you will be part of a dynamic and innovative work culture that prioritises ethical AI development and impactful decision-making. We offer competitive benefits, opportunities for professional growth, and the flexibility of working from Dubai or remotely, allowing you to thrive in a supportive environment that values your contributions and fosters collaboration across teams.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in Leigh
✨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
Showcase your skills! Create a portfolio of your projects, especially those related to AI and decision systems. This gives potential employers a tangible sense 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 building scalable AI systems and how you’ve led teams in high-pressure environments.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our mission to revolutionise lending with AI. It shows initiative and enthusiasm!
We think you need these skills to ace Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in Leigh
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 or 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 don’t miss any important updates. Plus, it’s super easy!
How to prepare for a job interview at LinkedIn
✨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 decision systems and be ready to discuss how you've applied these technologies in past projects.
✨Showcase Your Leadership Skills
This role is all about leading a team, so prepare examples that highlight your leadership experience. Think about times when you’ve successfully guided a team through challenges or implemented new strategies in high-pressure environments.
✨Understand Regulatory Frameworks
Since this position involves working within regulated environments, be prepared to discuss your understanding of compliance and risk management. Familiarise yourself with relevant regulations and be ready to explain how you’ve navigated these in previous roles.
✨Prepare for Technical Questions
Expect deep technical questions about AI frameworks and model deployment. Brush up on your technical skills and be ready to walk through your thought process on designing scalable, ethical AI systems during the interview.
