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- Tasks: Lead ML initiatives, shape strategy, and mentor talent at Monzo.
- Company: Join Monzo, a bank revolutionising finance for everyone with innovative solutions.
- Benefits: Enjoy flexible hours, a ÂŁ1,000 learning budget, and remote work options.
- Why this job: Be part of a mission-driven team that values diversity and innovation in banking.
- Qualifications: Expertise in ML, Python, and experience in fast-paced tech environments required.
- Other info: Open to applicants from diverse backgrounds; relocation and visa sponsorship available.
The predicted salary is between 130000 - 210000 ÂŁ per year.
Senior Staff Machine Learning Scientist, Operations
Join to apply for the Senior Staff Machine Learning Scientist, Operations role at Monzo Bank
Senior Staff Machine Learning Scientist, Operations
2 days ago Be among the first 25 applicants
Join to apply for the Senior Staff Machine Learning Scientist, Operations role at Monzo Bank
We’re on a mission to make money work for everyone.
We’re 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 as personal and business bank accounts, we offer joint accounts, accounts for 16-17 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 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 ️ Hear from our UK team about what it's like working at Monzo London/Cardiff/UK Remote | £157,000-210,000 + Benefits | Hear 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, you'll 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. You’ll play a key role…
As a Senior Staff ML Scientist , you’ll be at the pinnacle of our Individual Contributor (IC) career track, serving as the foremost technical authority in Machine Learning within Monzo. You’ll shape foundational ML strategy and platforms that support Operations and influence the design and delivery of ML solutions across the business. You will work cross-functionally with senior leadership, engineering teams, and business stakeholders to define and execute our long-term ML strategy. You’ll influence the development of Monzo’s ML capabilities across diverse areas, from automating support experiences to optimizing operational efficiency, and pioneering AI-driven 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. You’ll 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 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.
We’d love to hear from you if…
- What we’re doing here at Monzo excites you!
- 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
- 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!
- 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. 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 tech-hiring@monzo.com What’s 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 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. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage
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Senior Software Engineer – Machine Learning
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Senior Staff Machine Learning Scientist, Operations (London) employer: Monzo Bank
Contact Detail:
Monzo Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Staff Machine Learning Scientist, Operations (London)
✨Tip Number 1
Familiarise yourself with Monzo's mission and values. Understanding their approach to banking and customer service will help you align your answers during interviews, showcasing how your experience and vision fit into their culture.
✨Tip Number 2
Network with current or former employees of Monzo, especially those in the Operations Data team. Engaging in conversations can provide insights into the company’s work environment and expectations, which can be invaluable during your application process.
✨Tip Number 3
Stay updated on the latest trends and advancements in machine learning, particularly in operational contexts. Being able to discuss recent developments or case studies during your interviews will demonstrate your passion and expertise in the field.
✨Tip Number 4
Prepare to discuss your mentoring experiences and how you've contributed to building ML capabilities in previous roles. Monzo values leadership and knowledge sharing, so highlighting these aspects will strengthen your candidacy.
We think you need these skills to ace Senior Staff Machine Learning Scientist, Operations (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning, particularly in areas relevant to the role at Monzo. Focus on your achievements in leading ML initiatives and any specific technologies or frameworks you've worked with.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Monzo's mission and how your background aligns with their goals. Mention specific projects or experiences that demonstrate your ability to influence ML strategy and mentor others.
Showcase Technical Skills: Clearly outline your technical skills in Python, SQL, and ML frameworks like TensorFlow or PyTorch. Provide examples of how you've applied these skills in real-world scenarios, especially in fast-paced environments.
Prepare for Interviews: Anticipate questions related to your experience with ML model development and deployment. Be ready to discuss your approach to mentoring and how you advocate for responsible AI practices, as these are key aspects of the role.
How to prepare for a job interview at Monzo Bank
✨Showcase Your Technical Expertise
As a Senior Staff Machine Learning Scientist, it's crucial to demonstrate your deep understanding of ML concepts and frameworks. Be prepared to discuss your experience with Python, SQL, and ML libraries like TensorFlow or PyTorch, as well as any large-scale ML initiatives you've led.
✨Prepare for Cross-Functional Collaboration
Since the role involves working closely with engineering, product, and leadership teams, highlight your experience in cross-functional projects. Share examples of how you've successfully integrated ML solutions into business processes and influenced stakeholders.
✨Emphasise Mentorship and Leadership Skills
This position requires mentoring the next generation of ML talent. Be ready to discuss your approach to coaching others, fostering a culture of continuous learning, and how you've elevated ML expertise within your previous teams.
✨Communicate Complex Ideas Simply
You’ll need to convey complex ML concepts to both technical and non-technical audiences. Practice explaining your past projects and their impact in a straightforward manner, ensuring you can engage senior stakeholders effectively.
