Graduate Machine Learning Engineer
What you'll be doing
- Joining a cross-functional product squad with a mix of backend engineers, data analysts, frontend engineers, user researchers, designers, UX writers and others to develop features that improve our users' financial health
- You will be building ML models to solve customer problems across chat, payments, risk and marketing. Supported by Senior ML engineers to help you craft the problem definition, modelling approach, and deployment options.
- Deploy these models into our production environments using our in-house ML platform, that you can read about on our blog. Let's have an Espresso: MLOps at Cleo
- Integrating LLMs where appropriate, following evaluation-driven development of applied AI.
- Learning not only how to deploy and build models, but how to understand data, business problems and how you know what you have built works for customers.
- Learning how to manage and own ML in production with our monitoring tools for; feature drift, accuracy and performance of your APIs
- Learning about our approach to data-driven development where we emit data with each feature we build so we can measure what it's doing, and finding out how we analyse that data to detect problems and come up with new ideas
- Built ML models to understand the risk of customers using complex transactional bank data and user activity
- Built models to optimise the payment success for our customers and optimising the costs for the business. Think of this as a two-sided optimisation problem.
- Building AI Agents to explore and derive insights from users transactional data
- Developed deeper understanding of users finances through models extracting meaning from transactional data. Think about your bank statement, how often do you not know what a transaction is?
- Developed contextual intent classifiers to understand what conversations users are having with Cleo and control how Cleo should respond
- Building models to understand the actions that users have available to them in Cleo and provide those contextually in conversations
About you Firstly and most importantly, all of the above sounds exciting to you and you want to make a positive difference in society by improving the financial health of our users worldwide. You've also read our company values which drive our ways of working and help us deliver working software to our users, learn what works and iterate quickly to improve it. You are excited to learn how to embrace these opinions and use them to deliver value. As this is a junior position we're looking for someone who has recently graduated with a Computer Science / ML / AI related degree and Masters or a PhD. We prefer candidates with the following skills & knowledge:
- Coding in Python, including numpy, pandas, and object oriented programming
- Version control such as git
- Familiarity with machine learning concepts
- A competitive compensation package (base + equity) with bi-annual reviews . You can view our public progression framework and salary bandings here: - This position is a DS1/2 level and we can pay £36,278 - £73,504 p.a depending on experience.
- Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures
- A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support.
- Flexibility : We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work
- Work where you work best. We're a globally distributed team. If you live in London we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally.
- Other benefits;
- 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo)
- 401k matching in the US and 6% employer-matched pension in the UK
- 1 month paid sabbatical after 4 years at Cleo!
- Online courses & internal training to level up your skills
- Regular socials and activities, online and in-person
- Online mental health support via Spill
- And many more!
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