Job Description
Head of AI Engineering
Lead our AI Engineering teams with resources across the UK, Australia, India and Sri Lanka.
About CUBE
We are a global RegTech business defining and implementing the gold standard of regulatory intelligence and change for the financial services industry.
Our SaaS platform, powered by an innovative combination of AI and proprietary data ontology, simplifies the complex and ever-changing world of compliance for our clients.
Reporting to the CTO, you will lead AI Engineering teams, 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 multiple locations.
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.
Requirements
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.
Lead our AI Engineering teams with resources across the UK, Australia, India and Sri Lanka.
About CUBE
We are a global RegTech business defining and implementing the gold standard of regulatory intelligence and change for the financial services industry.
Our SaaS platform, powered by an innovative combination of AI and proprietary data ontology, simplifies the complex and ever-changing world of compliance for our clients.
Reporting to the CTO, you will lead AI Engineering teams, 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 multiple locations.
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.
Requirements
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.
💡 Quick Summary
Seeking a career-building opportunity? The Head Of AI Engineering London · Hybrid Remote position is now open for candidates interested in the Government Job Alert sector. This role in Ab Kettleby offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Government Job Alert is a plus.
