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

Apply Now

Paid Search Lead

London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Acquisition Tech Team

Data Scientist (Semantic Search / Recommender Systems)

Senior Data Scientist (Machine Learning & Advanced Analytics)

Client Data Analyst, Real Estate

Senior Data Scientist, Buyer

Data Scientist - London

Job Title: Digital Marketing Lead - Paid Search

Location: London HQ (hybrid)

About the Role

We are looking for a dynamic and results-driven Paid Search Lead to drive the growth of our Paid Search program globally. The role is pivotal in meeting our revenue and efficiency targets, with accountability for performance against Paid Search targets globally.

What You'll Be Doing

  • Strategy: Working with the Head of Performance Marketing and team of channel specialists to develop and execute a comprehensive global Paid Search strategy to drive growth and achieve ambitious revenue and efficiency targets.

  • Performance management: Be hands on in our accounts, optimising a complex, high-spending global Paid Search program across all major search engines.

  • Industry trends: Stay up to date with the latest trends and innovations in Paid Search and digital marketing, including AI-driven advertising and automation, to ensure our strategies remain cutting-edge. Work closely with platform partners to stay on top of emerging products and ensure we have a plan to test them at pace.

  • Testing and optimisation: Implement A/B testing and continuous optimisation of campaigns to enhance performance and drive growth.

  • Data analysis: Utilise enterprise analytics tools such as Looker to analyse campaign performance.

  • Reporting and insights: Generate detailed reports, dashboards and actionable insights for the team and for our stakeholders, demonstrating the impact of paid search on overall business objectives. Conduct analysis on competitor activity and make clear recommendations to improve our position in the market.

  • Collaboration: Work closely with Product, Data Science, and Engineering teams to develop technical solutions and enhance campaign performance.

  • Budget setting: Assist in setting and managing a large annual budget that covers all our global markets.

  • Stakeholder management: Communicate effectively with stakeholders, demonstrating a strong bias for action and ability to simplify complexity to get buy-in for our projects.

    What We’re Looking For

  • Technical expertise: 5+ years hands-on and deep experience with Google Ads and Microsoft Ads. Experience working with ad platform APIs and scripts to drive automation.

  • Analytical skills: Highly analytical and data-driven, comfortable working independently with data. Experience with SQL is a bonus.

  • Experience: Proven track record in managing complex and high-spending global accounts, ideally within e-commerce or marketplace businesses.

  • Cultural fit: Strong communicator with a growth mindset, passionate about Deliveroo's mission and growth ambitions. Ability to rally a team around a goal and pivot quickly when presented with new information.

    • Bias for action: Demonstrates a proactive approach to driving results and solving problems.

    • Test and learn mindset: Embraces experimentation and iterative improvement.

    • Growth mindset: Continuously seeks opportunities for learning and development.

      Why Deliveroo

      Our mission is to be the definitive food company. We are transforming the way the world eats by making food more convenient and accessible. We give people the opportunity to eat what they want, as they want it, when and where they want it.

      We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.

      Workplace & Benefits

      At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.

      Diversity

      At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.

      We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed

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.