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- Tasks: Lead global AI engineering teams and deliver innovative AI features for a top FinTech.
- Company: Join a market-leading global FinTech focused on data-driven solutions.
- Benefits: Enjoy a competitive salary of £185,000 plus bonuses, with remote work flexibility.
- Why this job: Be at the forefront of AI innovation in finance, shaping the future of technology.
- Qualifications: Proven experience in AI leadership, software development, and strong public speaking skills required.
- Other info: Ideal candidates should have expertise in cloud environments like Azure and GCP.
The predicted salary is between 111000 - 259000 £ per year.
Head of AI Engineering – Fintech Find out more about this role by reading the information below, then apply to be considered. Remote / £185,000 + Bonus A market leading global FinTech is seeking a Head of AI Engineering with a strong background in AI and ML techniques, data engineering, and software development to take responsibility and work with product and customer teams to deliver AI features across the stack. Reporting into the CTO, you will be leading global Engineering teams and leveraging AI solutions as well as converting real-world information into high-quality data for their customer base. The role also entails working closely with technology and implementing a data strategy for AI teams supporting key use cases, i.e., model training and real-time data access. This is a great opportunity to be the face of a market-leading data-driven FinTech leading them on their AI journey. Key Skills: Proven practical experience as an AI Engineering Leader, including management of multiple squads and complex engineering delivery projects. A background in general software development and practices beyond AI/ML, with a delivery-focused leadership position. Practical hands-on experience in designing and deploying machine learning-driven solutions and a solid mathematical foundation in deep learning techniques, LLM, and NLP. Unstructured to structured data specialization. Great public speaking skills to represent AI at the business and position them as a pioneering AI-centric firm in their space. Strong experience with cloud environments – Azure and GCP preferable. Not essential, but ideally full stack (C#, Angular, etc.). Proficiency in Python and relevant libraries. #J-18808-Ljbffr Remote working/work at home options are available for this role.
Head of AI Engineering - Fintech / Remote / £185,000 + Bonus employer: Cornwallis Elt Ltd
Contact Detail:
Cornwallis Elt Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI Engineering - Fintech / Remote / £185,000 + Bonus
✨Tip Number 1
Make sure to showcase your leadership experience in AI engineering. Highlight specific projects where you managed multiple teams and delivered complex solutions, as this role requires strong management skills.
✨Tip Number 2
Demonstrate your hands-on experience with machine learning and deep learning techniques. Be prepared to discuss how you've designed and deployed AI-driven solutions in previous roles, as practical experience is crucial for this position.
✨Tip Number 3
Since the role involves public speaking, practice articulating your vision for AI in a business context. Prepare examples of how you've represented AI initiatives in past roles to show your ability to be the face of AI at StudySmarter.
✨Tip Number 4
Familiarize yourself with cloud environments like Azure and GCP, as well as relevant programming languages such as Python. Being able to discuss your experience with these technologies will strengthen your application.
We think you need these skills to ace Head of AI Engineering - Fintech / Remote / £185,000 + Bonus
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your practical experience in AI engineering and leadership roles. Detail your management of multiple squads and complex projects, showcasing your ability to deliver results.
Showcase Technical Skills: Clearly outline your technical skills, especially in AI/ML techniques, software development, and cloud environments like Azure and GCP. Mention any hands-on experience with Python and relevant libraries.
Demonstrate Leadership Qualities: Illustrate your leadership style and how you have successfully led teams in the past. Include examples of how you've implemented data strategies and supported key use cases in AI.
Prepare for Public Speaking: Since great public speaking skills are essential for this role, consider including examples of past presentations or talks where you represented AI initiatives. This will show your capability to be the face of the company in the AI space.
How to prepare for a job interview at Cornwallis Elt Ltd
✨Showcase Your Leadership Experience
As a Head of AI Engineering, you'll need to demonstrate your ability to manage multiple squads and complex projects. Prepare specific examples of how you've successfully led teams in the past, focusing on your delivery-focused leadership style.
✨Highlight Your Technical Expertise
Make sure to discuss your hands-on experience with AI/ML solutions, particularly in designing and deploying machine learning models. Be ready to explain your understanding of deep learning techniques, LLM, and NLP, as well as your proficiency in Python and relevant libraries.
✨Demonstrate Your Data Strategy Knowledge
Since the role involves implementing a data strategy for AI teams, be prepared to talk about your experience with data engineering and how you've converted unstructured data into structured formats. Discuss any relevant projects where you’ve successfully managed data access and model training.
✨Prepare for Public Speaking Scenarios
Given the importance of representing AI at the business level, practice articulating your vision for AI in a clear and engaging manner. Think of examples where you've effectively communicated complex technical concepts to non-technical stakeholders.
