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

Nominate & Attend

Head of Machine Learning

Mayflower
Edinburgh
4 weeks ago
Applications closed

Related Jobs

View all jobs

Head of Machine Learning

Head of Machine Learning

AI Architect, AI Team Lead, Head of AI

Senior Data Scientist - Home Insurance

Head of Financial Crime & Innovation

Head of Data Engineering (Ad Tech)

Mayfloweris a technology company that alters the entertainment industry to a new level of perception and engagement. We are building the future of live entertainment. We believe that by providing people with the best and high-quality live streaming experience in entertainment, we can tackle the world’s “problems” better, together!

We are confidently growing every by X2 per year and successfully mastering it in different formats (as of the last - VR), implementing solutions based on ML algorithms, and developing experimental directions.


Responsibilities


We’re looking for a visionary Head of Machine Learning to lead the design and deployment of cutting-edge AI systems across a global, high-volume interactive platform. You will define and execute the machine learning strategy across content personalization, intelligent moderation, computer vision, and natural language understanding — shaping the future of interactive digital experiences for millions of users worldwide.

This is a high-impact leadership role at the intersection of personalization, real-time AI, content intelligence, and behavioral analytics.


1.Personalization & Content Discovery

  • Architect and scale personalization systems that power user discovery, drive engagement, and optimize platform monetization. Lead the development of recommendation engines for feeds, search, and session-aware carousels.
  • Combine collaborative filtering, deep learning, and real-time ranking to personalize content across touchpoints.
  • Continuously iterate based on user behavior signals to improve engagement and conversion metrics.

2. Content Understanding & Categorization

  • Support and enhance robust computer vision and multi-modal models to automatically analyze and classify live visual content.
  • Enable large-scale visual tagging, attribute extraction, and semantic categorization to support discoverability and quality assurance.
  • Power platform-wide content structuring through automated metadata generation and classification pipelines.

3. Real-Time Interactivity Enhancement

  • Drive innovation at the intersection of real-time communication and AI-driven interactivity.
  • Develop NLP and LLM-based systems that enrich live engagement through context-aware, multilingual, and adaptive responses.
  • Apply CV techniques to dynamically interpret on-screen environments and enable intelligent user interaction with live content.

4. Trust, Safety & Platform Integrity

  • Own the development of machine learning systems that protect platform integrity and ensure safe user experiences.
  • Build LLM- and CV-based moderation frameworks for content classification, behavioral detection, and adaptive risk scoring.
  • Continue developing real-time fraud detection pipelines using graph analytics, user profiling, and anomaly detection models.
  • Partner with internal compliance and operations teams to balance automation with precision and policy alignment.

5. Team Leadership & Execution

  • Lead a high-performing ML organization of 15+ specialists across engineering, science, data, and infrastructure. Set strategic direction and align ML efforts with product, engineering, and trust & safety priorities.
  • Drive operational excellence through agile experimentation, measurable iteration, and high system reliability.
  • Oversee recruitment, performance development, and long-term capability building.
  • Champion a culture of ownership, collaboration, and continuous learning.



​Requirements​


What We’re Looking For: 6+ years of experience in applied machine learning, including 3+ years leading cross-functional AI/ML teams.

  • Demonstrated success in deploying large-scale ML systems in areas such as personalization, NLP/LLMs, computer vision.
  • Deep knowledge of real-time inference systems, MLOps pipelines, and distributed model training.
  • Expertise with modern ML tooling.
  • Strong business acumen with a proven ability to align ML solutions with product KPIs and user outcomes.
  • Exceptional communication and leadership skills, capable of driving clarity and momentum across technical and executive stakeholders.


Conditions


We know that great talent deserves great conditions, so here's what you can expect when joining us:


  • EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.
  • Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.
  • Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
  • Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
  • Mindfulness & well-being support, including psychological assistance with 50% coverage.
  • 50% coverage of school and kindergarten fees for your children.
  • Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation.
  • Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey.
  • A culture of recognition: a peer reward program to celebrate your contributions.
  • A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
  • Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
  • A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities.
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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.