Back to jobs

Senior Lead Machine Learning Scientist

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

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

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 ❤️

Hear from our team about what it's like working at Monzo ✨


 

📍Cardiff, London, or Remote UK  | Salary ÂŁ140-ÂŁ175,000 + stocks + benefits | Hear from the team ✨ 

About our Machine Learning Team:

At Monzo, Machine Learning Scientists have ownership across the entire ML lifecycle, from from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. 

Our Machine Learning Scientists collaborate in cross-functional squads across Data, Engineering, Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling.

What you’ll be working on:

As a Senior Lead ML Scientist, you’ll be the one of the most senior Individual Contributor (IC) Machine Learning Scientist! This will give you a real opportunity to lead us into an exciting new phase of fraud and financial crime prevention, utilising billions of rows of data and the learnings from your previous successes in designing and building advanced Machine Learning based systems for topics like personalisation, demand forecasting, workforce management, detection systems.

We’re talking about Deep Learning, Graph neural networks, transformers – you’ll have space to design the architecture that will help us take our real time systems to the next level.

 

Your day-to-day

As our most senior technical IC, you’ll be providing key technical leadership and shipping highly impactful ML-based solutions. You’ll be empowered to work across the collective identifying the most impactful areas and leading solution development.

You’ll work with our mission-oriented cross functional product squads, collaborating closely with product managers, data scientists, backend engineers and designers in an agile environment.

You’ll be expected to use your technical expertise to advise senior business stakeholders and help to set and advance our strategic direction across multiple squads.

You’ll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards.

This will involve:

  • Working with stakeholders across the organisation to identify and scope out the most impactful opportunities to tackle product challenges with Machine Learning.
  • Bringing the learnings from your previous successes in designing and building advanced Machine Learning systems to lead advancements in our product development capabilities, for example utilising deep learning, graph-based, and sequence-based architectures.
  • Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others.
  • Working closely with our MLOps team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle.

You should apply if:

What we’re doing here at Monzo excites you!

  • You have a multiple year track record of excellence leading the technical work of a team in the development and deployment of advanced Machine Learning models tackling real business problems, preferably in a fast moving tech company
  • You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production
  • You have experience in, and a passion for, mentoring other ML practitioners, sharing knowledge and raising the technical bar across the team.
  • You have a self-starter mindset; you proactively identify the most impactful issues and opportunities and tackle them without being told to do so
  • Using advanced machine learning techniques to minimise financial crime and protect customers from fraud sounds exciting to you
  • You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices
  • you’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity
  • you want to be involved in building a product that you (and the people you know) use every day
  • you have a product mindset: you care about customer outcomes and you want to make data-informed decisions
  • You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain
  • You’re adaptable, curious and enjoy learning new technologies and ideas

The interview process:

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

  • 30 minute recruiter call
  • 45 minute call with hiring manager
  • 4 x 1-hour video calls with various team members

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

What’s in it for you:

✈️ We can help you relocate to the UK

✅ We can sponsor visas

📍This role can be based in our London office, but 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

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-REMOTE #LI-NJ1


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. You can read more in our blog, 2023 Diversity and Inclusion Report and 2023 Gender Pay Gap Report.

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.

If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Apply for this job

*

indicates a required field

Resume/CV

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

Select...
Select...

We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor.

Select...

👤 Identity survey

Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. 

Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is:

  • Voluntary. And we've included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. We won't know if you choose to fill this survey in or not.
  • Anonymous to Monzo. We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process.

For more information on how we'll use this data, please read our candidate privacy notice.

By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us.

Select...
Select...
Select...
Select...
Select...
Select...