Role: Head of AI Engineering
Before applying for this role, please read the following information about this opportunity found below.
Location: London, UK (Hybrid)
Recently listed as a "RegTech Top Performer" in Market Fintech's RegTech Supplier Performance Report, CUBE is pioneering the development of machine automated compliance.
We are a global RegTech business defining and implementing the gold standard of regulatory intelligence and change for the financial services industry. We deliver our services through a SaaS platform, powered by an innovative combination of AI and proprietary data ontology, to simplify the complex and everchanging world of compliance for our clients.
At CUBE, we are creating the future and are a company rooted in strong values, team spirit and commitment to our customers and wider communities. We serve some of the largest financial institutions globally and are expanding our footprint very fast. As we do so, we are keen for new talent to join us and realize their full potential to grow into leadership positions within the business.
Role mission:
Reporting to the CTO, you will lead our AI Engineering teams with resources across the UK, Australia, India and Sri Lanka.
Responsibilities:
1. Work with product and customer teams to define and deliver AI enabled features across the stack, utilizing natural language processing, computer vision techniques, and graph machine learning.
2. Take responsibility as engineering owner for all AI projects and capabilities, from ideation through to delivery of robust and reliable production systems.
3. Manage the AI/ML teams, balancing execution and delivery with research and exploration.
4. Develop and implement a data strategy for AI teams that integrates diverse data sources, ensuring efficient data collection, storage, and processing.
5. Ensure value and time to market by balancing external capabilities and internally tuned models.
6. Lead teams across Australia, India, Sri Lanka and the UK.
7. Collaborate with the technology group to define and deliver a robust platform for AI teams to access data safely and deliver AI enabled services.
8. Work closely with the CTO, Engineering, and wider leadership to define and execute technology strategies aligned with the company's goals.
9. Ensure timely delivery of high-quality work while maintaining a positive work culture.
10. Mentor and coach team members, encouraging their professional growth.
11. Support the company brand by speaking at meet ups and conferences.
What we're looking for:
1. Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, or a highly related field.
2. Proven experience as an AI Engineering Leader, managing multiple squads and complex engineering delivery projects.
3. Experience in designing and deploying machine learning-driven solutions.
4. Solid mathematical foundation in deep learning techniques, LLM and NLP, with experience in working with unstructured data.
5. Proficiency in Python and relevant libraries (e.g., Pytorch, Numpy).
6. Strong background in general software development, beyond AI/ML.
7. Experience with cloud environments - Azure and GCP preferable.
8. Excellent project management skills and experience with Agile methodologies.
9. Ability to manage multiple projects in parallel effectively.
10. Excellent communication and interpersonal skills.
11. Experience managing teams across multiple time zones.
12. Strong problem-solving abilities and analytical skills.
13. A track record of speaking at meet ups and conferences.
Why Us?
Globally, we are one of a kind!
CUBE is a well-established market leader within RegTech, and our category-defining product is used by leading financial institutions around the world.
Growth & progression
Last year we grew by more than 50% and our growth journey is just getting started! We hire ambitious people that want to make a difference and find better, smarter ways of working.
Internationally collaborative culture
With more than 400 CUBERs across 11 locations, collaboration is key to our success.
Innovative breakthrough technology
CUBE is an innovator in the use of AI in regulatory change.
Work life balance
CUBE is a remote-first business allowing flexibility in work arrangements.
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