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- 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 AI technology.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant career advancement in a fast-paced environment.
- Why this job: Shape the future of lending with cutting-edge AI and ethical decision-making.
- 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
- 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
- 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
- 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 Slough 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 Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI/ML space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to lending and decision systems. This will give potential employers a taste of what you can bring to the table, making you stand out from the crowd.
✨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-stakes environments. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your leadership in AI/ML and your understanding of regulatory frameworks. Let’s build the future of lending together!
We think you need these skills to ace Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) Dubai or Remote in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the Lead AI/ML Engineer role. Highlight your experience in building AI systems, especially in fintech, and don’t forget to mention any leadership roles you've had!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI in lending and how your background makes you the perfect fit for this role. Be genuine and let your personality come through.
Showcase Your Projects: If you’ve worked on relevant projects, make sure to include them in your application. Whether it’s a personal project or something from your previous job, we want to see how you’ve applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at StudySmarter!
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 could include technical hurdles or team dynamics. Showing your problem-solving skills will be key in a role that requires both strategy and execution.