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

Apply Now

CMO (m/f/d) - Tech Events (based anywhere in Europe)

Michael Page International (Switzerland) SA
London
8 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst - Paid Marketing

Senior Marketing Data Analyst (FTC for 3 months)

Data Analyst

Senior Marketing Data Analyst (FTC for 3 months)

Non Revenue Campaign Data Analyst

Grow an established tech events brand into something even biggerMarketing leadership role for strategic, impactful and creative personalityAbout Our Client

The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below.My client is a leading tech events company at the forefront of innovation, specializing in cutting-edge conferences and expos across AI, big data, blockchain and cloud computing in several international hot spots. These events attract top industry leaders, innovators, and enthusiasts from around the globe, creating unparalleled networking and learning opportunities. We are seeking a dynamic and visionary Chief Marketing Officer (m/f/d) to lead the company's marketing efforts and drive the growth of the brand. The ideal candidate will be a strategic thinker with a proven track record in marketing leadership, particularly within the tech industry.Job DescriptionDevelop and execute comprehensive marketing strategies for a leading but growing tech events seriesLead a high-performing marketing team, fostering creativity and innovationDrive brand awareness and engagement through digital marketing, social media, and content marketingCollaborate with cross-functional teams to ensure cohesive and impactful marketing campaignsAnalyze market trends and competitor activities to identify growth opportunitiesManage marketing budgets and optimize ROI on marketing spendRepresent the company at industry events and build strong relationships with key stakeholdersThe Successful ApplicantProven experience as a CMO or in a senior marketing leadership roleExperience within the tech industry is a mandatory prerequisite for this roleStrong understanding of AI, machine learning, blockchain, big data, and cloud computingExceptional strategic thinking and analytical skillsExcellent communication and leadership abilitiesAbility to thrive in a fast-paced, dynamic environmentWillingness to travel as needed to attend and support eventsWhat's on OfferBe part of a leading tech events company shaping the future of technologyWork with a passionate and innovative teamEnjoy the flexibility of remote work with the opportunity to be based in vibrant European citiesCompetitive salary and benefits package

#J-18808-Ljbffr

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 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.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.