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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 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 Manchester 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 Manchester
✨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 AI/ML projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with cross-functional teams.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our mission. Plus, it makes tracking your application a breeze!
We think you need these skills to ace Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in Manchester
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 lending systems. We want to see how your background aligns with our mission of building intelligent decisioning systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you envision contributing to our team. We love seeing candidates who can articulate their vision for ethical and scalable AI solutions.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build production-grade AI systems. We’re keen to see your hands-on experience in action.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the attention you deserve. 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 this will show your passion and expertise during the interview.
✨Showcase Your Leadership Skills
Prepare examples of how you've led AI/ML teams in the past, particularly in regulated environments. Highlight your experience in building scalable systems and how you’ve aligned cross-functional teams to achieve common goals.
✨Understand Regulatory Frameworks
Familiarise yourself with the regulatory standards that govern AI in financial services. Be ready to discuss how you’ve navigated these frameworks in previous roles and how you plan to ensure compliance in your future projects.
✨Demonstrate Problem-Solving Abilities
Think of specific challenges you've faced in AI/ML projects and how you overcame them. This role requires a strategic mindset, so be prepared to discuss your approach to problem-solving and how you adapt to high-growth, ambiguous environments.