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For Companies At a Glance
- Tasks: Design and deploy innovative AI solutions that enhance customer experience.
- Company: Join a fast-scaling RegTech startup backed by a major global bank.
- Benefits: Enjoy a dynamic work environment with opportunities for rapid growth and innovation.
- Why this job: Be part of a cutting-edge team shaping the future of regulatory technology.
- Qualifications: Expertise in Python and modern AI frameworks is essential; creativity and curiosity are key.
- Other info: Work in stealth mode, preparing for an exciting public launch.
The predicted salary is between 43200 - 72000 £ per year.
A fast-scaling RegTech startup is looking for a Senior AI Engineer to help shape and scale its next-generation regulatory change management platform, powered by GenAI and automation. Backed by a major global bank and already working with several high-profile financial institutions, the company combines start-up agility with enterprise-grade ambition and infrastructure. Currently operating in stealth mode, the company is preparing for public launch with a strong client pipeline and a high-calibre technical team.
You are accountable for the quality of our AI output. You are responsible for the design, experimentation, and deployment of cutting-edge AI solutions that directly impact our customers.
What Success Looks Like
- AI outputs are consistently accurate, actionable, and valuable to customers.
- Rapid iteration leads to product-market fit and scalable solutions.
- The system adapts and improves through direct user and customer feedback.
What You Bring
- Your curiosity lets you ask what if, and surprise us again, and again.
- Proven track record delivering impactful ML/AI solutions in production.
- Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas).
- Hands-on experience with GenAI, agentic AI, and automated testing for AI systems.
- Curiosity and creativity to challenge assumptions and explore new approaches.
- Strong communication skills and a passion for clear, concise documentation.
- Adaptability and pragmatism in fast-paced, ambiguous environments.
Senior AI Engineer/Data Scientist employer: Space Executive
Contact Detail:
Space Executive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer/Data Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in GenAI and automated testing for AI systems. Being well-versed in these areas will not only boost your confidence during discussions but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Engage with the RegTech community through forums, webinars, or local meetups. Networking with professionals in this niche can provide insights into industry trends and may even lead to referrals that could help you land the job.
✨Tip Number 3
Prepare to discuss your past projects in detail, especially those involving impactful ML/AI solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Highlight your adaptability and experience in fast-paced environments during conversations. Share examples of how you've successfully navigated ambiguity and delivered results, as this aligns perfectly with the company's dynamic culture.
We think you need these skills to ace Senior AI Engineer/Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI and machine learning, particularly in Python and frameworks like PyTorch and TensorFlow. Showcase specific projects where you've delivered impactful solutions.
Craft a Compelling Cover Letter: In your cover letter, express your curiosity and creativity. Discuss how your background aligns with the company's mission and how you can contribute to their next-generation regulatory change management platform.
Showcase Relevant Projects: Include a portfolio or links to relevant projects that demonstrate your hands-on experience with GenAI and automated testing for AI systems. This will help illustrate your capabilities and past successes.
Highlight Communication Skills: Since strong communication skills are essential for this role, provide examples of how you've effectively documented your work or collaborated with teams in previous positions. This will show your ability to convey complex ideas clearly.
How to prepare for a job interview at Space Executive
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python and AI/ML frameworks like PyTorch and TensorFlow. Bring examples of past projects where you delivered impactful ML/AI solutions, as this will demonstrate your capability to meet the company's high standards.
✨Demonstrate Your Curiosity
The company values curiosity and creativity. Prepare questions that challenge assumptions or explore new approaches in AI. This not only shows your interest in the role but also aligns with their culture of innovation.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex AI concepts in simple terms, as you may need to convey technical information to non-technical stakeholders. Clear documentation is also a key aspect of the job.
✨Adaptability is Key
Given the fast-paced and ambiguous environment of a startup, be ready to discuss how you've adapted to change in previous roles. Share examples of how you've thrived in dynamic settings and contributed to rapid iteration and product-market fit.
