Senior Director of Engineering, Personalisation | Cardiff, UK

Monzo
Cardiff
1 month ago
Applications closed

Related Jobs

View all jobs

Director of Engineering - Advanced Analytics

Senior Analyst & Data Specialist

Senior Data Analyst

Principal Data Scientist - NLP

Data Engineering Lead

Senior Recruiter

Senior Director of Engineering, Personalisation

We're on a mission to make money work for everyone.

We're waving goodbye to the complicated and confusing ways of traditional banking.

After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.

With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!

We're not about selling products - we want to solve problems and change lives through Monzo.

Engineering at Monzo

We're looking for a creative, entrepreneurial and impact-focused Senior Director of Engineering to help us build one of the best, and most innovative digital banks in the world.

As a Senior Director, you'll start by leading an organisation of ~50 Engineers and Engineering Leaders, which will continue to grow over the next 18 months. You'll be leading our core consumer app at Monzo focusing on user acquisition, engagement, and personal banking product growth.

We're aiming to be the app where our customers' financial lives are centered and they can get full transparency, visibility and control over their money. This role is fundamental to achieving this mission and making money work for everyone. You'll build the foundations for a personalised financial experience, leveraging machine learning to improve our search, discovery, and personalisation features.

You should apply if you have:

  • You have led teams delivering personalisation, recommendation, or search products, and have a strong grasp of how these products are executed successfully.
  • You have experience leading an organisation of 50-100 individuals (including experience managing Engineering Leaders, ideally at Director level).
  • You are someone who regularly pushes senior leaders to get to better solutions by challenging our thinking, based on data.
  • You've got over a ten year track record of shipping successful, customer-centric digital products in a consumer tech company.
  • You make good decisions in complex situations where there's often no "right answer".
  • You're comfortable using data to ground your thinking in analysis, can identify key metrics and their drivers and evaluate the success of your work.
  • You can work effectively with a diverse range of people and working styles to get stuff done, and are able to thoughtfully and constructively challenge and influence the people you work with.
  • You're able to quickly build trust and enable your teams to be high performing.
  • You have experience empowering marketing teams to succeed at paid acquisition channels, including a basic understanding of attribution and LTV estimation techniques.


The interview process:

Our interview process involves 3 main stages:

  • Recruiter Call (30 mins)You'll meet our Engineering Hiring Lead to discuss your experience and learn more about Monzo. They'll be your partner and guide throughout the interview process.
  • Initial Call (1 hour)You'll meet with one of our VPs of Engineering. They'll ask about your previous experience, in particular people, product, and technical leadership. They'll also make time to tell you about Monzo and answer your questions.
  • Loop Stage (4 hours)The Loop stage is one stage that consists of 4 x 60 min interviews that take place over 1-2 days (depending on your availability).


At all stages we'll create space for you to ask as many questions as you have, you're interviewing us as well!

What's in it for you:

This is a unique role, we're open to discussions around base salary + stock options & benefits.

We can help you relocate to the UK.

We can sponsor visas.

This role can be based in our London office, or we're open to distributed working within the UK (with ad hoc meetings in London).

We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

Learning budget of £1,000 a year for books, training courses and conferences.

Equal opportunities for everyone

Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.