Head of AI Engineering London · Hybrid Remote

CUBE Content Governance Global Limited
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Data Scientist – GenAI & AI Engineering

Head of Data Science - Fintech

Head of Data Science - Fintech

Sr Product Manager, Data Science

Role:

Head of AI Engineering

Ready to apply Before you do, make sure to read all the details pertaining to this job in the description 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.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.

#J-18808-LjbffrRemote working/work at home options are available for this role.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.