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Head of AI Engineering

fully flexible
Remote: 
Full Remote
Work from: 

Offer summary

Qualifications:

Bachelor’s or Master’s degree in Computer Science or related field., Proven experience as an AI Engineering Leader., Solid background in deep learning and machine learning techniques., Strong experience with cloud environments like Azure and GCP..

Key responsabilities:

  • Lead and manage AI/ML engineering teams.
  • Define and deliver AI enabled features and projects.
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CUBE SME https://www.cube.global/
201 - 500 Employees
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Job description

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. 

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. 

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. A combination of natural language processing and computer vision techniques are used, and we are looking to include graph machine learning as well.
  • 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 clearly trading off execution and delivery vs. research and exploration. 
  • Working within the technology group, develop and implement a data strategy for AI teams that integrates diverse data sources, ensuring efficient data collection, storage, and processing, supporting key use cases such as annotation, model training and real-time data access with a strong emphasis on data quality.
  • Ensure that the company is driving value and time to market by balancing the use of external capabilities and internally tuned models, constantly looking to leverage industry trends to improve performance.
  • Lead teams across Australia, India, Sri Lanka and the UK.
  • Working with the rest of the technology group to define and deliver a robust platform which allows the AI teams to easily access data in a safe way and delivery AI enabled services which fit into a robust platform.
  • Work closely with the CTO, Engineering and wider leadership to define and execute wider engineering and technology strategies, aligned with the company's goals. 
  • Ensure timely delivery of high-quality work by the team, while maintaining a positive work culture. 
  • Mentor and coach team members, encouraging their professional growth and supporting them in reaching their full potential. 
  • 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 including management of multiple squads and management of complex engineering delivery projects (span multiple systems and disciplines, co-ordinating product owners, business analysts, infrastructure etc).
  • Proven experience in designing and deploying machine learning-driven solutions.
  • Solid mathematical foundation in deep learning techniques, LLM and NLP, with a strong preference for experience in working with unstructured data.
  • Python and relevant libraries (pytorch, numpy etc)
  • Strong background in general software development, beyond AI/ML
  • Strong experience with cloud environments – Azure and GCP preferable, others desirable.
  • Excellent project management skills and experience with Agile methodologies.
  • Ability to work on multiple projects in parallel, using project management and other resources 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.

Our Products:

RegPlatform is a technology platform that streamlines regulatory change management. It provides firms with a one-stop, continuously maintained inventory of global regulations, with effortless horizon scanning, integration capabilities and workflow management. RegPlatform combines industry leading AI technology with expert validated insights to simplify the complexities of multi-jurisdictional regulatory content.

RegBrain allows customers to apply CUBE's AI models directly to their own content, enabling faster release and feedback cycles. Our flagship AI services will be included, spanning structural detection, classification, entity extraction, summarisation, and recommendations. Available to customers and partners as APIs and via a UI.

Why Us?   

🌍 Globally, we are one of a kind! 

CUBE are a well-established market leader within Regtech (we were around before Regtech was even a thing!), and our category-defining product is used by leading financial institutions around the world (including Revolut, Citi, and HSBC).

🌱Growth & progression

Last year we grew by more than 50% and our growth journey is just getting started! We are a dynamic, fast-paced workforce that is always seeking ways to accelerate our people, processes, services and products. We hire ambitious people that want to make a difference, share their ideas, “make it happen” and find better, smarter ways of working. Our future is shaped by our employees, so if you’re someone looking for an opportunity to make a real impact, and progress your career alongside the business, it couldn’t be a better time to join us!

🗣️Internationally collaborative culture

With more than 400 CUBERs across 11 locations in Europe, the Americas and APAC, collaboration is key to our success. We are a diverse workforce united by a shared desire to reshape the world of regulatory compliance and make an impact. We champion sharing knowledge with colleagues from all over the world, in order to deliver the best results.

💡 Innovative breakthrough technology

CUBE is an innovator. We pioneered the use of AI in the field of regulatory change and our state-of-the-art, cutting edge technology is helping financial services firms from all over the world, solve complex compliance challenges. You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that will reshape the world of regulatory compliance.

💻 Work life balance

CUBE is a remote-first business so you will be able to design your home office and choose your own work equipment. We host regular in-person meet-ups as a chance to get-together, share ideas and collaborate with other teams but we are advocates for remote working and we believe working remotely provides freedom to innovate, create and unlock global talent. 

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Analytical Skills
  • Communication
  • Problem Solving
  • Social Skills

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