Senior Lead Machine Learning Scientist, Operations Cardiff, London or Remote (UK)

Senior Lead Machine Learning Scientist, Operations

Cardiff, London or Remote (UK)

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!

Our Operations Data team consists of over 35 people across 4 data specialisms: Analytics Engineers, Data Analysts, Machine Learning Scientists and Data Scientists.

In our Operations Collective you'll have the opportunity to embed into an area that is the heart of how we work with our customers’ problems - and is full of data challenges. Machine Learning supports all aspects of Operations, from workforce planning to customer support experience.

As a Senior Lead ML Scientist, you’ll be one of the most senior Individual Contributors (IC) in the organisation, giving you a real opportunity to lead us into an exciting new phase of optimising Customer Operations.

You’ll provide key technical leadership and ship highly impactful ML-based solutions. You’ll be empowered to work across the collective identifying the most impactful areas and pushing solution development forward while mentoring and levelling up less experienced ML practitioners.

We’d love to hear from you if…

• 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.
• You're impact driven and excited to own the end to end journey from business problem to solution.
• You have a self-starter mindset; proactively identifying issues and opportunities.
• You have a solid grounding in SQL and Python, and are keen to learn Go lang.
• You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production.
• You are comfortable exploring potentially ambiguous business problems.
• You're excited about the potential of machine learning and can communicate those ideas to colleagues.
• You’re adaptable, curious and enjoy learning new technologies.
• You have experience in mentoring other ML practitioners.
• You’re comfortable moving across teams within a larger organisation.

Nice to haves:

• Experience working within large Customer Support and internal product spaces.
• Experience with NLP tasks.
• You have commercial experience writing critical production code and working with microservices.

What’s in it for you

We’ll help you relocate to the UK. We can sponsor your visa. This role can be based in our London office, but we're open to distributed working within the UK.

We offer flexible working hours and trust you to work enough hours to do your job well.

£1,000 learning budget each year to use on books, training courses and conferences.

We provide all employees with Macbooks and support for your work-from-home setup.

Our interview process involves 3 main stages.

• 30 minute recruiter call
• 45 minute call with hiring manager
• 1 take home task
• 3 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.

Equal opportunities for everyone

Diversity and inclusion are a priority for us and we’re making sure we have support for all of our people to grow at Monzo. 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.

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