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 lending with cutting-edge AI technology.
- Benefits: Flexible remote work options, competitive salary, and opportunities for professional growth.
- Other info: Be part of a collaborative team focused on ethical and transparent AI practices.
- Why this job: Shape the future of finance with innovative AI solutions in a dynamic environment.
- Qualifications: Proven leadership in AI/ML, especially in regulated financial services.
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
Remote working/work at home options are available for this role.
Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in Ramsbottom employer: oryxsearch.io
Join a dynamic and innovative fintech company that prioritises cutting-edge technology and ethical AI practices. With a strong focus on employee growth, you will have the opportunity to lead a high-performing team in a collaborative environment, whether based in vibrant Dubai or working remotely. Enjoy a culture that values autonomy, creativity, and impactful decision-making, all while contributing to transformative lending solutions that make a real difference in people's lives.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in Ramsbottom
✨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 leading teams and how you've tackled challenges in high-growth environments.
✨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 are proactive about their job search.
We think you need these skills to ace Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in Ramsbottom
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 tackled challenges in similar environments and what you can bring to our team.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise in machine learning and production AI systems. We want to see how you’ve applied these skills in real-world scenarios, especially in regulated environments.
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/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 led or contributed to, focusing on how they impacted decision-making processes.
✨Understand the Regulatory Landscape
Since this role involves working within regulated environments, it’s crucial to familiarise yourself with relevant regulatory frameworks. Prepare examples of how you've navigated compliance issues in past projects to demonstrate your expertise.
✨Showcase Leadership Skills
This is a foundational leadership role, so be prepared to talk about your experience in leading AI/ML teams. Highlight your approach to team building, mentoring, and how you've driven cross-functional collaboration in previous roles.
✨Prepare for Ethical AI Discussions
Given the emphasis on ethical AI and model governance, think about how you've addressed these issues in your work. Be ready to discuss your views on creating transparent and auditable AI systems, and how you ensure they align with ethical standards.
