Senior Staff Machine Learning Scientist, Operations London

Senior Staff Machine Learning Scientist, Operations

London

Overview

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. Our Operations Data team consists of over 25 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science. In our Operations Collective, you’ll embed into an area that is the heart of how we work with our customers’ problems - delivering award-winning customer support - and is full of data challenges. Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently.

Responsibilities

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• Define and execute the strategic vision for ML across Operations and adjacent business areas.
  
• Define reusable ML architectures and modelling standards adopted by multiple teams, and guide the development of complex systems that serve as the foundation for multiple products and problem spaces.
  
• Act as a senior technical authority, setting best practices and architectural patterns for ML across the organization.
  
• Collaborate with Engineering, Product, and Leadership teams to integrate ML-driven solutions into core business processes.
  
• Advocate for and implement responsible AI practices, ensuring fairness, robustness, and transparency in our models.
  
• Mentor and coach ML practitioners at all levels, fostering a culture of continuous learning and innovation.
  
• Engage with the broader ML community, sharing knowledge through conferences, blog posts, and open-source contributions.
  
• You have a proven track record of leading large-scale ML initiatives with tangible business impact, preferably in a fast-moving tech company.
  
• You have led the development and adoption of reusable ML modelling patterns, architectures, or infra across large organizations.
  
• You have experience developing state-of-the-art deep learning models, LLMs, and advanced AI architectures.
  
• You are an industry expert in ML model development, deployment, and MLOps at scale.
  
• You are deeply comfortable with Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch) and have experience working in a microservices architecture (Go Lang experience is a plus).
  
• You have extensive experience with real-time ML applications, reinforcement learning, graph-based models, and/or NLP.
  
• You can communicate complex ML concepts to both technical and non-technical audiences, influencing senior stakeholders and executives.
  
• You thrive in ambiguous, fast-changing environments and have a proactive, problem-solving mindset.
  
• You have a passion for mentoring, and can elevate the ML skill set across the organization influencing both cross-functional and executive strategy.
  

Nice to haves

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• Track record of shaping ML strategy and system design in highly-scaling support or operational environments.
  
• Contributions to industry standards, open source software libraries, or public thought leadership in machine learning systems.
  

The Interview Process

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

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• 30 minute recruiter call
  
• 1 hr call with hiring manager
  
• 4 x 1-hour video calls with various team members (short presentation included)
  

Our average process takes around 3-4 weeks but we will always work around your availability. If you have any specific questions ahead of this please contact us at

What’s in it for you

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• 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 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
  

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, 2024 Diversity and Inclusion Report and 2024 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.

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