Senior Staff Machine Learning Scientist, Operations
Senior Staff Machine Learning Scientist, Operations
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Job Description
Were on a mission to make money work for everyone.
Were waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card our product offering has grown a lot in the last 10 years in the UK. As well aspersonal and business bank accounts we offer joint accounts accounts for 1617 year olds a free kids account and credit cards in the UK with more exciting things to come beyond. Our UK customers can also save invest and combine their pensions with us.
With our hot coral cards and getpaidearly 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!
Were not about selling products we want to solve problems and change lives through Monzo
London/Cardiff/UK RemoteBenefitsHear from the team
About Ops Data:
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 youll have the opportunity to 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.
Youll play a key role...
As a Senior Staff ML Scientist youll be at the pinnacle of our Individual Contributor (IC) career track serving as the foremost technical authority in Machine Learning within Monzo.
Youll shape foundational ML strategy and platforms that support Operations and influence the design and delivery of ML solutions across the business.
You will work crossfunctionally with senior leadership engineering teams and business stakeholders to define and execute our longterm ML strategy. Youll influence the development of Monzos ML capabilities across diverse areas from automating support experiences to optimizing operational efficiency and pioneering AIdriven products that improve customer outcomes.
Beyond technical execution you will mentor and guide the next generation of ML talent at Monzo elevating the standard of ML expertise across the company. Youll also be a thought leader influencing best practices in ML model and GenAI systems development deployment and governance at scale.
Responsibilities:
- 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 MLdriven 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 opensource contributions.
Wed love to hear from you if
- What were doing here at Monzo excites you!
- You have a proven track record of leading largescale ML initiatives with tangible business impact preferably in a fastmoving tech company.
- You have led the development and adoption of reusable ML modelling patterns architectures or infra across large organizations.
- You have experience developing stateoftheart 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 realtime ML applications reinforcement learning graphbased models and/or NLP.
- You can communicate complex ML concepts to both technical and nontechnical audiences influencing senior stakeholders and executives.
- You thrive in ambiguous fastchanging environments and have a proactive problemsolving mindset.
- You have a passion for mentoring and can elevate the ML skill set across the organization influencing both crossfunctional and executive strategy.
Nice to haves:
- Track record of shaping ML strategy and system design in highlyscaling 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!
- 30 minute recruiter call
- 1 hr call with hiring manager
- 4 x 1hour video calls with various team members (short presentation included)
Our average process takes around 34 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
Whats 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 were 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 1000 a year for training courses and conferences
And much more see our full list of benefits here
If you prefer to work parttime well make this happen whenever we can whether this is to help you meet other commitments or strike a great worklife balance
#LIDC2 #LIRemote
Equal opportunities for everyone
Diversity and inclusion are a priority for us and were making sure we have lots of support for all of our people to grow at Monzo. At Monzo were 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.
Were 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 dont need full or birth names at application stage
Required Experience:
Staff IC
Employment Type
Full-Time
