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

Apply Now

Lead Software Engineer - Performance Marketing

Love Holidays
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Lead Software Engineer - CDAO Metadata Engineering

Lead Data Engineer

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Lead Data Engineer

Lead Data Science Engineer

Data Engineer - Mid Level

Why Engineering loveholidays? Engineering at loveholidays underpins our vision to become the most loved OTA in Europe by providing a best in class experience to customers pre and post booking. Our systems process trillions of holiday offers daily to help millions of customers find their perfect holiday. Our website, backed by services hosted on GCP to which we deploy more than a thousand times a month, serves thousands of requests per second. We actively talk about technology and adhere to our key technology principles that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. About the Performance Marketing Team We are launching a new cross functional team of software engineers, data engineers and data scientists to tackle the complex domain of performance marketing. We have ambitious plans around scaling our automated bidding, reporting and attribution systems, and we’re looking for an experienced motivated Lead Engineer to build this team and lead them to success. What you’ll be working on Owning and evolving data pipelines responsible for modelling marketing costs and returns across numerous channels and platforms Build performance marketing data products in our Data Mesh Scaling the usage of our automated bid management, including improving internal configuration tooling Working closely with commercial stakeholders to refine our roadmap and vision for the performance marketing capabilities of our platform Working closely with the Data Engineering and Data Science teams and participating in architectural design discussions as they evolve their platforms Leading a team of talented engineers and data scientists, fostering their growth and ensuring delivery of high-quality solutions and operational excellence Your skillset You are an experienced and motivated lead engineer who is excited about building products in cross functional teams to realise business outcomes You have extensive experience in data and analytical engineering tools and frameworks, such as Bigquery, Airflow, dbt, Spark, Monte Carlo and Looker You enjoy collaborating across engineering and commercial teams to achieve shared goals, sharing knowledge with others and levelling up your team You own applications end to end, from specification to coding, to deploying, running and monitoring in production with tools such as Prometheus and Loki You have experience working with cloud computing, such as GCP or AWS You have experience or keen interest in the performance marketing space, including tag management, bid optimisation, ETL processes, and building data products and reporting based on 3rd party and internal data. Perks of joining us: Company pension contributions at 5%. Individualised training budget for you to learn on the job and level yourself up. Discounted holidays for you, your family and friends. 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. Ability to buy and sell annual leave. Cycle to work scheme, season ticket loan and eye care vouchers. The interview journey: 1st stage interview with two engineers from the team. Tech challenge - you can choose between a live and take home option. Final stage - consisting of discussions around three key areas. At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.