Senior Ad Tech Engineer

OneFootball
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Marketing Data Scientist

Commerical Data Analyst

Senior Data Engineer - Energy

French Data Analyst

Data Analyst (Permanent/FTC)

Data Scientist

Senior Ad Tech Engineer Location: United Kingdom - Remote Working Type: Full-time Department: Engineering / Ad Tech - Client XP About OneFootball OneFootball is the world’s #1 digital football platform, with more than 100 million active users across the world.

Founded in 2008, we have come a long way to provide our users with the best personalized digital football experience.

At OneFootball, our purpose is to disrupt the status quo and make football more accessible, inclusive and enjoyable.We are a product-driven company with an obsession of crafting a great user experience backed by world-class engineering.

About the Role We are looking for a strategic and hands-on Ad Tech Architect to design, optimize, and scale our mobile Ad Tech stack.

This role is ideal for someone with deep expertise in in-app monetization, programmatic advertising, and backend ad-serving technologies.

As the technical authority on Ad Tech, you will define the architecture, ensure system scalability, and drive revenue growth by implementing cutting-edge solutions.

Key Responsibilities Define and own the technical architecture for our mobile Ad Tech stack, ensuring scalability, performance, and compliance with industry standards.

Design and optimize ad-serving workflows for mobile apps built with Flutter, Kotlin, and Swift, ensuring seamless integration with ad mediation and programmatic platforms.

Lead technical decision-making around ad integrations, header bidding, and low-latency ad rendering.

Collaborate with engineering, product, and business teams to align Ad Tech strategies with company revenue goals.

Evaluate and implement best-in-class Ad Tech solutions, including SDKs, demand-side platforms (DSPs), and supply-side platforms (SSPs).

Ensure compliance with privacy regulations (GDPR, CCPA, ATT) and implement privacy-first ad strategies.

Act as a technical mentor for engineers working on Ad Tech mobile integrations and backend services.

Stay ahead of Ad Tech innovations, including AI-driven ad optimization, contextual targeting, and the evolving landscape of in-app advertising.

Requirements 6+ years of experience in software engineering with a focus on Ad Tech architecture, programmatic advertising, and mobile monetization.

Deep expertise in ad mediation platforms, RTB protocols, header bidding, and in-app bidding.

Strong knowledge of mobile development (Flutter, Kotlin, Swift) and a good understanding of backend development.

Proven experience designing and scaling ad-serving architectures for mobile applications.

Hands-on experience integrating and optimizing mobile ad SDKs (Google Ad Manager, MoPub, AppLovin, Prebid Mobile, etc.).

Strong understanding of real-time data processing, latency optimization, and high-throughput ad transactions.

Experience working with Ad Tech privacy frameworks (GDPR, CCPA, ATT) and implementing compliance strategies.

Familiarity with cloud-based ad infrastructure (AWS, GCP, or Firebase) for data analytics and reporting.

Ability to guide and mentor engineering teams, promoting best practices in Ad Tech and Mobile development.

  Nice to Have Experience with AI-driven ad personalization and revenue optimization.

Knowledge of machine learning models for ad targeting and fraud detection.

Familiarity with first-party data strategies and contextual advertising in a post-cookie world.

Why Join the Media advertising team?

Architect the future of mobile Ad Tech, directly impacting revenue and user experience.

Work with cutting-edge technologies in a fast-growing, high-impact domain.

Opportunity for ownership and leadership, driving key architectural decisions.

Why Join OneFootball?

In the UK, we provide a flexible work environment, giving you the option to work remotely while encouraging occasional office visits for collaboration and connection.

🌴 Vacation Days: 25 days, plus 1 extra day each calendar year (up to 5) + your birthday off 🎂 🌟 Personal Days: 5 "OneFootball Days"—flexible time off, no questions asked! 💰 Additional Pension Contributions for financial peace of mind 🏦 🏥 Private Healthcare—because your health comes first 💙 📚 Learning & Development Budget: £600 per year (after probation) to support your career growth 📚 🧠 Mental Health Support via OpenUp—your well-being matters! ❤️ 💻 Company-Issued MacBook to help you do your best work!   At OneFootball, we value the insights and ideas that stem from having a diverse team.

We believe everyone should have the opportunity to be a part of the beautiful game—irrespective of gender, race, ethnicity, nationality, age, background, sexual orientation, religion, team followed, or other personal traits.

Whether you're a dedicated 24/7 football fan or not, we actively seek to recruit and support a diverse team to ensure our platform, football, and the wider world are viewed through an inclusive lens.

Powered by JazzHR

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.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Jobs

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.