Monzo Bank on cord

Monzo Bank

Machine Learning Manager

External position
London, UK
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FinTech · Banking
We're here to make money work for everyone
Posted
a month ago
Checked
cord regularly checks that external positions are still open
18 hours ago

Skills & Experience

Job roles: Machine Learning Engineer
Experience level: Senior, Lead
Core skills considered: Machine Learning, Deep Learning, Data Modeling, Data Pipelines, Data Warehousing
Other skills considered: Data Analysis, Agile, Scrum, Project Management, Building Teams

Logistics

Base salary: ÂŁ110K - ÂŁ145K
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

We're building the machine learning and optimisation systems that help Monzo provide fast, efficient and resilient customer support at scale.

You'll lead Machine Learning for our Workforce Management vertical: the organisation that makes sure Monzo has the right human support supply to meet customer demand. The team works on demand forecasting, real-time supply <> demand matching, problem routing and escalation, and predictive models that help us understand how long work will take, what might become late, and where the next best human support should be assigned.

This is a great role for someone who is still close to technical work. You might be a Tech Lead, Team Lead, Senior Machine Learning Scientist or Senior Machine Learning Engineer who has recently been building models and systems yourself, and is excited to grow into a broader leadership role.

Not everything here is about LLMs. You'll work on rigorous ML, forecasting, optimisation and operations research problems where quantitative thinking, pragmatic delivery and strong product judgement really matter.

You'll lead a growing team of Machine Learning Scientists, embedded in product squads working alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers and operations specialists.


You'll play a key role by...

  • Shaping the ML strategy for Workforce Management, helping us decide where ML, forecasting and optimisation can have the biggest impact for customers and human agents.
  • Leading the design, build and delivery of production ML systems across forecasting, routing, assignment, escalation and time-to-completion prediction.
  • Staying close to the technical details: helping the team frame problems well, choose the right modelling approach, define robust validation, review trade-offs and ship safely.
  • Working with Product, Engineering, Data and Operations leaders to turn ambiguous operational problems into pragmatic, iterative ML systems that improve real customer outcomes.
  • Coaching and developing Machine Learning Scientists through regular 1:1s, feedback and technical guidance.
  • Creating healthy ways of working for the team: clear priorities, strong technical standards, good documentation, sensible monitoring, and space for people to do their best work.
  • Contributing to the wider Machine Learning discipline at Monzo, helping us scale how we build, ship and operate ML systems in production.

We'd love to hear from you if...

  • You've recently worked as a hands-on Machine Learning practitioner, for example as a Senior IC, Tech Lead, Team Lead or ML manager.
  • You have strong foundations in ML, statistics, forecasting, optimisation or operations research, and enjoy applying them to messy real-world problems.
  • You've built, shipped or owned ML systems in production, and understand what it takes to make models useful, reliable, monitored and safe.
  • You can move between technical detail and business context, explaining complex ML ideas clearly to technical and non-technical people.
  • Coaching others is something you enjoy and take seriously. You may already have people management experience, but we're also open to people taking their first formal step into management.
  • Ambiguous problem spaces energise you. The right answer might involve a model, an algorithm, a product change, an operational process, or a combination of all four.
  • Customer outcomes matter to you, and you want to build systems that help people get answers to their problems quickly and efficiently.
  • You're adaptable, curious and excited by quantitative problems.

Company Benefits

Compensation
  • Your manager reviews your salary every year
  • Proactive pay increases to reflect growing responsibilities
  • Share options: the option to buy shares in Monzo at a later date
📆 Flexible working hours
  • We trust you to work enough hours to do your job well, at times that suit you and your team
  • If you’re in customer operations, you’ll have set shifts
🏡 Working from home
  • If you’re employed as a distributed worker, we’ll pay for any equipment you need to do your job
  • If you’re normally office-based, you can still work from home occasionally - as long as you have a good internet connection and a private, quiet space which allows you to do your best work
  • We’ve teamed up with Abellio to make season travel tickets easy to buy and more accessible by helping spread the cost of an annual travel ticket interest free over 10 months
🌴 Holiday
  • 26 days’ a year, plus bank holidays – or opt out of bank holidays and take 34 days whenever you like
  • 255 hours, equivalent to 34 days, if you’re in Customer Operations (Customer Operations are scheduled to work bank holidays, but can request them off)
  • 1 month’s unpaid leave every year
  • 8 weeks of paid sabbatical leave after every 5 years of service
⛑️ Health & Wellbeing
  • Paid sick leave for physical and mental health
  • Private healthcare cover
  • Additional health cover through the health cash plan
  • An Employee Assistance Programme, with 24/7 confidential support for things like bereavement or health worries
  • Access to the cycle to work scheme for some fresh wheels
📚 Learning
  • Learning budget of ÂŁ1,000 a year for books, training courses and conferences
  • Regular knowledge-sharing sessions with your squad, collective and discipline
  • A library of industry-related books that you can borrow at any time
đź’° Pension
  • We'll automatically enrol you into our pension scheme with Aviva
  • Monzo contributes the equivalent of 4% of your base salary. Monzo will match any additional contributions that you make up to a maximum of 6%
  • You'll need to contribute 4% to, and you can choose to contribute more to take advantage of Monzo's additional contributions!
  • You can opt out if you'd prefer not to have a pension at all
🧡 Family
  • Paid maternity, paternity, adoption or shared parental leave, if you’ve been with us for at least 13 weeks
  • 52 weeks of primary caregiver leave (6 months at 100% pay, 13 weeks at Statutory Maternity Pay, 13 weeks unpaid)
  • 3 months of secondary caregiver leave at 100% pay
  • Life insurance from Unum
  • All Monzonauts, including those based outside of the UK, will have access to fertility and family-forming health benefits via Fertifa.
👥 Community
  • Monthly budgets for squads and managers to use for team activities
  • Gifts to Monzonauts to say thanks when we reach company milestones&celebrations
  • Free company merch (we’re talking hoodies, t-shirts and more) for personal milestones such as joining Monzo, becoming a caregiver and your anniversary
  • Regular socials, such as quizzes, movie nights and bingo, as well as an annual company-wide party
  • Live weekly yoga you can join in our London office or remotely
  • Free breakfast, hot and cold drinks, biscuits and fruit every day in our offices
  • Hot lunches twice a week on us, as well as grab and go options if you’re based at the office
  • Regular webinars, lunch and learns, and speakers on topics which matter to you
Machine Learning Manager at Monzo Bank
Position posted a month ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: ÂŁ70K - ÂŁ110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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