[Hiring] Senior Machine Learning Scientist @Referrals Only

Role Description

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 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. We’ll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs.

Qualifications

• Track record of deploying advanced Machine Learning models tackling real business problems with demonstrable impact, preferably in a fast-moving tech company.
• 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.
• Passion for sharing knowledge and raising the technical bar across the team.
• Self-starter mindset; proactively identify the most impactful issues and opportunities and collaboratively tackle them without being told to do so.
• Extensive experience writing production Python code and a strong command of SQL.
• Experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact.
• Strong communication skills and able to explain complex technical concepts to non-technical stakeholders.
• Excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain.
• Adaptable, curious and enjoy learning new technologies and ideas.

Requirements

• Experience in supporting your team in shaping the ML strategy of your area.
• Experience working with financial crime, operations and in regulated institutions.
• Commercial experience writing critical production code and working with microservices.
• Experience in evaluating ML models in live environments such as through A/B tests.

Benefits

• 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 (with ad hoc meetings in London).
• We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team.
• £1,000 learning budget each year to use on books, training courses and conferences.
• We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.
• Plus lots more!

Company Description

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
• 1 take home task
• 2 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 [email protected].