[All remote jobs](https://jobicy.com/jobs.md)[![Monzo logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/5b4c0ec3-221.jpg)](https://jobicy.com/company/monzo.md)[Monzo](https://jobicy.com/company/monzo.md) # Lead Machine Learning Scientist, Customer Operations Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/monzo.md)ShareRemote from[UK](https://jobicy.com/job-region/uk.md)SalaryGBP 115k–150k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished22 Oct 2026Apply before21 Nov 2026Listing views27Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Monzo is seeking a lead-level individual contributor to build production machine-learning solutions that improve customer issue understanding, routing, and resolution. The role focuses on advanced ML approaches including LLMs, retrieval-augmented generation, autonomous agents, and sequence-based architectures within Customer Operations. The successful candidate will provide technical leadership, shape ML strategy, mentor peers, and collaborate closely with product, engineering, data, design, and operations teams. Strong production Python, SQL, end-to-end model deployment experience, and comfort operating in an ambiguous, fast-moving product environment are essential. The position supports distributed work within the UK, with occasional meetings in London. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior technical leadership role requiring both deep production ML expertise and ownership of high-impact customer-operations outcomes. Success depends on translating ambiguous business problems into reliable ML systems while influencing multidisciplinary stakeholders. ## Salary analysis Estimated compensation compared with the broader UK market for similar roles. Estimated job median (per year)Market rate£132,500UK market range (per year)£110k–£160k0£176k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses an annual base-salary range of £115,000–£150,000, with a midpoint of £132,500. The annual cadence is inferred from the senior UK technology role and the magnitude of the stated GBP range, as no explicit pay period is provided. Estimated UK market compensation for a lead machine learning scientist with production LLM and technical-leadership responsibilities is approximately £110,000–£160,000 per year, excluding incentive awards and benefits. ## Core skills Skills and capabilities most closely associated with this opportunity. [Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Large Language Models](https://jobicy.com/jobs?search_keywords=Large%20Language%20Models.md)[Retrieval-Augmented Generation](https://jobicy.com/jobs?search_keywords=Retrieval-Augmented%20Generation.md)[Deep Learning](https://jobicy.com/jobs?search_keywords=Deep%20Learning.md)[Sequence Modelling](https://jobicy.com/jobs?search_keywords=Sequence%20Modelling.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md)[Model Deployment](https://jobicy.com/jobs?search_keywords=Model%20Deployment.md)[Technical Leadership](https://jobicy.com/jobs?search_keywords=Technical%20Leadership.md)[Customer Operations](https://jobicy.com/jobs?search_keywords=Customer%20Operations.md)[Microservices](https://jobicy.com/jobs?search_keywords=Microservices.md)[Product Analytics](https://jobicy.com/jobs?search_keywords=Product%20Analytics.md)[Stakeholder Management](https://jobicy.com/jobs?search_keywords=Stakeholder%20Management.md)[Mentoring](https://jobicy.com/jobs?search_keywords=Mentoring.md) Sample interview questionsDescribe an ML system you took from an ambiguous business problem to a measurable production outcome.I would explain how I aligned stakeholders on the decision to improve, defined success metrics and baseline performance, developed and validated a model, partnered with engineers on deployment, and monitored both model quality and business impact after launch. How would you design an LLM and RAG solution for routing customer-support queries? I would begin with clear routing labels, high-quality historical data, and measurable error costs. I would use retrieval over approved knowledge and policy content, add confidence thresholds and human review for uncertain or high-risk cases, evaluate accuracy, latency, safety, and calibration, then continuously improve the system through feedback. What practices make an ML model reliable in a regulated customer-operations setting? I would use versioned data and models, reproducible pipelines, robust offline and online evaluation, audit logs, monitoring for drift and bias, access controls, fallback paths, and human escalation for decisions that require additional assurance. How do you provide technical leadership while remaining an individual contributor? I set a clear technical direction, make architecture and quality standards explicit, lead through well-documented examples and code reviews, mentor colleagues, and unblock decisions without taking ownership away from the team. How would you handle conflicting stakeholder requests when ML capacity is limited? I would make the trade-offs transparent by assessing expected customer impact, operational savings, feasibility, risk, and time to value. I would then agree on a prioritised roadmap with stakeholders, test assumptions through small experiments where possible, and revisit priorities as evidence changes. Opportunity details ## About this role. 🚀 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](https://monzo.com/current-account/personal) and [business](https://monzo.com/business-banking) bank accounts, we offer [joint accounts](https://monzo.com/current-account/joint-account), [accounts for 16-17 year olds](https://monzo.com/current-account/16-17), a [free kids account](https://monzo.com/current-account/under-16s) and [credit cards](https://monzo.com/flex) in the UK, with more exciting things to come beyond. Our UK customers can also [save](https://monzo.com/savings), [invest](https://monzo.com/investments)and [combine their pensions](https://monzo.com/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 ❤️ 📍London/Cardiff/UK Remote | 💰 £115,000 – £150,000 + Incentive Awards tied to your performance + [Benefits](https://monzo.com/careers/) ✨ ### About our Machine Learning Operations team: The challenges are significant: we aim to transform customer service by reducing the time and effort required to resolve issues, enhancing customer confidence and satisfaction. As part of Operations, you’ll be at the forefront of our mission to provide unparalleled customer support experiences. Your role will be pivotal in leveraging state-of-the-art machine learning techniques (including LLMs and autonomous agents) to understand customer problems. You will lead the development of an effective human-in-the-loop system that augments automation with the efforts of our support workforce (who we call COps). This allows us to more expediently and efficiently predict, identify, disambiguate, and route customer problems at scale to support a rapidly expanding company with global ambitions across multiple geographies. You’ll be working closely with a team of Machine Learning Scientists in Operations, embedded in product squads alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers, and operations specialists. ### Your day-to-day: As a technical individual contributor, you’ll be providing technical leadership and shipping highly impactful ML-based solutions. You’ll be embedded in a cross-functional product squad, working closely with product managers, data scientists, backend engineers, and designers in an agile environment. You’ll also be a technical leader within the wider Machine Learning discipline, helping to steer technical work and drive up standards. This will involve: * Working with stakeholders across the organisation to identify and scope out the most impactful opportunities to transform Customer Operations with Machine Learning. * Leading the design and development of advanced Machine Learning models, exploring how LLMs, RAG, and sequence-based architectures can drive improvements in query resolution and routing. * Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others. * Steering ongoing technical strategy, working closely with our MLOps team and backend engineers to enable rapid iteration of models and optimisations of the full ML model lifecycle. ### You should apply if: What we’re doing here at Monzo excites you! * You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company * You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact * You’re 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 * You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so * You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn [Go lang](https://go.dev/) which is used in many of our backend microservices * you’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity * you want to be involved in building a product that you (and the people you know) use every day * you have a product mindset: you care about customer outcomes and you want to make data-informed decisions * You’re excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain * You’re adaptable, curious and enjoy learning new technologies and ideas ### Nice to haves: * Experience working with customer operations, capacity planning, forecasting, or in regulated institutions. * Commercial experience writing critical production code and working with microservices. ### 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 45 minute call with hiring manager Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview 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](mailto:tech-hiring@monzo.com). Please also use that email to let us know if there’s anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. ### 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](https://monzo.com/careers/) 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 #LI-REMOTE #LI-SR1 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](https://monzo.com/blog/diversity-and-inclusion), 2026 [Diversity and Inclusion Report](https://monzo.com/blog/our-2026-diversity-and-inclusion-report) and 2025 [Gender Pay Gap Report.](https://monzo.com/blog/gender-pay-gap-report-2025) 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 😊 Show more [Apply now >](https://jobicy.com/jobs/156363-lead-machine-learning-scientist-customer-operations.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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