National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Global CTO at Mobile AdTech

Grey Matter Recruitment
London
6 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Engineering & Analytics

Data Engineer

Global Data Engineer

Global Head of Data Engineering

Principal Energy Consultant

Quality Engineer

This is a unique opportunity to lead technology strategy across one of the most comprehensive and diverse ad tech offerings in the market today.

The Company

  • Omnichannel mobile advertising solution across advertising, attribution and user acquisition
  • 200% revenue growth in 2023
  • Targeting X10 revenue growth on a global scale
  • Significant funding from well known VCs
  • Global Offices

The Role

As Global CTO, you will guide technology leaders across a host of products, to execute and deliver all aspects of technical evolution fit for customer and industry needs.

  • Combine strategic thinking and business acumen with a deep knowledge of the ad tech industry and technology trends
  • Ability to manage and grow engineering teams on an International scale
  • Build and maintain the Product Roadmap
  • Implement and oversee all technology standards and best practices to optimize pace and quality of delivery

Desired skills & Experience

As a proven CTO within the Mobile / Ad Tech industry, you will have a deep understanding of the programmatic ecosystem, emerging technology and a proven track record in growing and leading large engineering teams.

  • Experience leveraging AI/machine learning capabilities to drive optimal product performance
  • Ability to track and evaluate new technologies to solve complex business needs
  • Strong department leader including strategic planning, budgeting and guiding professional development
  • Hands-on Software Engineering background

If you feel you have the relevant experience please reply to this advert or email your CV to

#J-18808-Ljbffr

National AI Awards 2025

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.