Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Chief Technology Officer

Propel
Glasgow
10 months ago
Applications closed

Related Jobs

View all jobs

VP Machine Learning

Staff Data Scientist

Data Scientist - Contract UK

Data Scientist - Contract UK

Data Scientist

Staff Data Scientist

Chief Technology Officer (CTO) – driving innovation


Have you got a proven track record of successful exits or significant value creation events?


If yes, please continue reading it might be worth an introduction.


My client, a PE backed B2C firm are seeking a visionary CTO to lead the technology strategy and drive innovation. As a key member of the executive team, you'll spearhead the digital transformation and leverage cutting-edge technologies to enhance the B2C platform.


Key Responsibilities:

  • Develop and execute a technology roadmap aligned with business goals
  • Lead the modernisation of legacy systems and transition to cloud-based architectures
  • Implement AI and machine learning solutions to improve customer experience and operational efficiency
  • Drive data-driven decision-making across the organisation
  • Manage and mentor a high-performing technology team

Required Qualifications:

  • 10+ years of experience in technology leadership roles, preferably in fast-growing, PE-backed companies
  • Strong background in developing and scaling B2C technology platforms
  • Expertise in data analytics, AI, and machine learning applications in business
  • Experience in driving technology-led business growth and valuation increases
  • Proven track record of successful exits or significant value creation events
  • Strong commercial acumen with the ability to build business cases for tech investments
  • Experience with modern tech stacks and cloud-based architectures
  • Familiarity with Ruby and strategies for legacy system modernisation
  • Experience with CRM systems and mobile app development
  • Strong leadership and team management skills


If you're passionate about leveraging technology to revolutionise a business with a track record of driving significant business value through innovation, I want to hear from you.

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.