Senior Machine Learning Scientist

Jobtailor; Cardiff; On-site; GBP 75,000 - 105,000; Full time

Job summary

Jobtailor is seeking a seasoned Machine Learning Scientist to join a multidisciplinary squad and help detect fraudulent activity while protecting genuine customers.

You will own the end-to-end lifecycle, design scalable ML solutions, and foster a culture of experimentation and knowledge sharing across product, risk, and engineering teams.

Qualifications

• You have a track record deploying advanced ML models with measurable business impact.
• You own the end-to-end journey from business problem to production impact.
• You share knowledge and raise the technical bar across the team.
• You are a self-starter, proactively tackling impactful issues.
• You have production Python and SQL experience; eager to learn Go.

Responsibilities

• Collaborate with ML scientists, data scientists, backend engineers, operations, product managers, and risk managers.
• You develop and deploy models to automatically detect suspicious user behaviours while minimising impact on genuine customers and costs.
• You adapt quickly to changing fraud trends, keeping detection systems performant.
• You design scalable ML solutions that operate globally.
• You encourage experimentation and innovation within the team.

Skills

ML deployment

End-to-end ownership

Communication skills

Self-starter mindset

Problem solving in ambiguity

Tools

Python

SQL

Go

Job description

Responsibilities

• This role sits as part of a multidisciplinary squad, collaborating with other Machine Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers.
• You'll play a key role by leveraging your deep experience of developing and deploying advanced Machine Learning models as to automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs.
• Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time.
• Design machine learning solutions that scale globally.
• The technical approaches you take to solve these problems will be very much in your hands and we’ll strongly encourage and support experimentation and innovation.

Requirements

• You have a track record of deploying advanced Machine Learning models tackling real business problems with demonstrable impact, 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 a passion for 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 collaboratively tackle them without being told to do so.
• Using advanced ML techniques to ensure Monzo’s customers money stays safe, even if their card, phone or account is compromised, 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 have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact.
• You thrive working on ambiguous problems and have a track record of helping your team and stakeholders resolve that ambiguity.
• You have strong communication skills and are able to explain complex technical concepts to non-technical stakeholders.
• You want to be involved in building a product that you and the people you know use every day, with a product mindset that prioritises customer outcomes and 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.