At a Glance
- Tasks: Lead ML initiatives, shape strategy, and mentor talent at Monzo.
- Company: Join Monzo, a forward-thinking bank revolutionising finance for everyone.
- Benefits: Enjoy flexible hours, a £1,000 learning budget, and remote work options.
- Why this job: Be part of a mission-driven team solving real-world problems with cutting-edge technology.
- Qualifications: Proven ML leadership experience, deep learning expertise, and strong communication skills required.
- Other info: Diversity and inclusion are core values; we support all individuals to thrive.
The predicted salary is between 130000 - 185000 £ 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
Were on a mission to make money work for everyone.
Ensure you read the information regarding this opportunity thoroughly before making an application.
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 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!
Were 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.
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 cross-functionally with senior leadership, engineering teams, and business stakeholders to define and execute our long-term ML strategy. Youll influence the development of Monzos 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. 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 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.
Wed love to hear from you if
- What were 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
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 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 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 don\’t need full or birth names at application stage
Seniority level
- Seniority levelMid-Senior level
Employment type
- Employment typeFull-time
Job function
- Job functionOther
- IndustriesBanking
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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
Prepare to discuss your previous ML projects in detail, especially those that had a significant business impact. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 3
Network with current or former Monzo employees on platforms like LinkedIn. Engaging with them can provide insights into the company culture and the specific expectations for the Senior Staff Machine Learning Scientist role.
✨Tip Number 4
Stay updated on the latest trends in machine learning and AI, particularly in the banking sector. Being able to discuss recent advancements or case studies relevant to Monzo's operations will show your passion and expertise in the field.
We think you need these skills to ace Senior Staff Machine Learning Scientist, Operations (London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Staff Machine Learning Scientist position at Monzo. Tailor your application to highlight how your experience aligns with their needs.
Highlight Relevant Experience: In your CV and cover letter, emphasise your proven track record in leading large-scale ML initiatives. Include specific examples of projects where you've made a tangible business impact, especially in fast-paced tech environments.
Showcase Technical Skills: Clearly outline your technical expertise in Python, SQL, and ML frameworks like TensorFlow or PyTorch. Mention any experience with real-time ML applications, reinforcement learning, or NLP, as these are crucial for the role.
Communicate Your Vision: In your application, express your vision for ML strategy and how you can contribute to Monzo's mission. Discuss your approach to mentoring and fostering a culture of continuous learning, which is important for this senior role.
How to prepare for a job interview at Monzo Bank
✨Understand Monzo's Mission
Before your interview, make sure you grasp Monzo's mission to simplify banking for everyone. Familiarise yourself with their products and how they aim to solve customer problems. This will help you align your answers with their values during the interview.
✨Showcase Your ML Expertise
Prepare to discuss your experience with large-scale ML initiatives and how they have impacted business outcomes. Be ready to share specific examples of projects you've led, particularly those involving deep learning models or advanced AI architectures.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex ML concepts in simple terms. This skill is crucial for influencing senior leadership and ensuring everyone understands your vision.
✨Prepare for Collaborative Scenarios
Expect questions about cross-functional collaboration. Think of examples where you've worked with engineering, product, or leadership teams to integrate ML solutions. Highlight your ability to advocate for responsible AI practices and mentor others in the field.