Head of AI Engineering London Hybrid Remote

Role: Head of AI Engineering

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.

Role mission:

Reporting to the CTO, you will lead our AI Engineering teams with resources across the UK, Australia, India and Sri Lanka.

The ideal candidate will have a strong background in AI and ML techniques, data engineering and software development, team leadership, and project management as well as direct experience in managing complex data pipelines, leveraging AI solutions and converting unstructured real-world information and documents into high-quality actionable data for demanding customers.

Responsibilities:

• Work with product and customer teams to define and deliver AI enabled features across the stack, including natural language processing and computer vision techniques.
• Take responsibility as engineering owner for all AI projects and capabilities, from ideation through to delivery of robust and reliable production systems.
• Manage the AI/ML teams, balancing execution and delivery with research and exploration.
• Develop and implement a data strategy for AI teams that integrates diverse data sources, ensuring efficient data collection, storage, and processing.
• Drive value and time to market by balancing the use of external capabilities and internally tuned models.
• Lead teams across Australia, India, Sri Lanka and the UK.
• Define and deliver a robust platform allowing AI teams to access data safely and deliver AI enabled services.
• Work closely with the CTO, Engineering and wider leadership to define and execute engineering and technology strategies aligned with the company's goals.
• Ensure timely delivery of high-quality work while maintaining a positive work culture.
• Mentor and coach team members, encouraging their professional growth.
• Support the overall company brand by speaking at meet ups and conferences.

What we're looking for:

• Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, or a highly related field.
• Proven experience as an AI Engineering Leader, managing multiple squads and complex engineering delivery projects.
• Experience in designing and deploying machine learning-driven solutions.
• Solid mathematical foundation in deep learning techniques, LLM and NLP, with experience in working with unstructured data.
• Proficiency in Python and relevant libraries (e.g., PyTorch, NumPy).
• Strong background in general software development, beyond AI/ML.
• Experience with cloud environments - Azure and GCP preferred.
• Excellent project management skills and experience with Agile methodologies.
• Ability to work on multiple projects in parallel effectively.
• Excellent communication and interpersonal skills.
• Experience running teams across multiple time zones.
• Strong problem-solving abilities and analytical skills.
• A track record of speaking at meet ups and conferences.