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- Tasks: Develop innovative machine learning solutions to enhance users' financial health.
- Company: Cleo is a fast-growing fintech unicorn on a mission to revolutionise money management.
- Benefits: Enjoy competitive pay, flexible working, and generous leave policies.
- Why this job: Join a passionate team making a real impact in financial wellness for everyone.
- Qualifications: 3+ years in data science or machine learning; strong Python and SQL skills required.
- Other info: We welcome diverse applicants and offer support for various needs.
The predicted salary is between 48000 - 84000 £ per year.
Join to apply for the Machine Learning Engineer role at Cleo
Join to apply for the Machine Learning Engineer role at Cleo
About Cleo
At Cleo, we\’re not just building another fintech app. We\’re embarking on a mission to fundamentally change humanity\’s relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That\’s the future we\’re creating.
About The Company
About Cleo
At Cleo, we\’re not just building another fintech app. We\’re embarking on a mission to fundamentally change humanity\’s relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That\’s the future we\’re creating.
Cleo is a rare success story: a profitable, fast-growing unicorn with over $200 million in ARR and growing over 2x year-over-year. This isn\’t just a job; it\’s a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact.
If you’re driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo’s success as we scale, while growing alongside a company that’s scaling fast, this might be your perfect fit.
Follow us on LinkedIn to keep up to date with new product features and insights from the team.
About The Role
Machine Learning Engineers at Cleo work on building novel solutions to real-world problems. This really does vary but could be: creating chatbots to coach our users around their financial health, creating classifiers to better understand transaction data or even optimising transactions within our payments platform.
Ultimately, we’re looking for a brilliant Machine Learning Engineer to join us on our mission to fight for the world\’s financial health. You’ll be leading technical work within a team of adaptable, creative and product-focused engineers, who train & integrate cutting edge machine learning across a variety of products and deploy them into production for millions of users. We understand our customers, we understand their pain, and we are passionate about helping them.
Here Are Some Examples, Big And Small, Of The Kinds Of Product Feature Work Our ML Engineers Have Taken Part In Over The Last Year
- Designed and implemented AI agents to analyse and extract insights from users’ transactional data.
- Developed models to interpret transactional data, enhancing the understanding of users’ finances. Think about your bank statement—how often do you not recognise a transaction on first review?
- Created contextual intent classifiers to understand user conversations with Cleo, enabling tailored and accurate platform responses.
- Engineered ML models to identify and deliver relevant actions to users within Cleo, ensuring a seamless, context-aware conversational experience.
- Built models to evaluate risk in customer interactions with bank transaction features and user activities.
- Developed optimisation models to improve payment success rates for customers while minimising business costs, tackling this as a two-sided optimisation challenge.
Whatever problem you tackle, and whichever team you join, your work will directly impact those most in need, helping to improve their financial health.
What You\’ll Need
- Excellent knowledge of both Data Science (Python, SQL) and production tools
- Experience building chat products
- A deep understanding of probability and statistics fundamentals
- Big picture thinking to correctly diagnose problems and productionising research
- Top tier communication skills, to be able to partner with Product and Commercial Leaders
- Industry-leading contributions to your field, communicated through conferences, blogs, talks, or open-source projects
- 3+years of experience in data science, machine learning engineering, or related roles
- Excellent knowledge of both Data Science (python, SQL) and production tools
- Strong ability to communicate findings to non-technical stakeholders
- Experience deploying machine learning models into production; familiarity with Docker containers and container orchestration tools is a plus
What do you get for all your hard work?
- A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles. You can view our public progression framework and salary bandings here:
- 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
- Company-wide performance reviews every 6 months
- Generous pay increases for high-performing team members
- Equity top-ups for team members getting promoted
- 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days)
- 6% employer-matched pension in the UK
- Private Medical Insurance via Vitality, dental cover, and life assurance
- Enhanced parental leave
- 1 month paid sabbatical after 4 years at Cleo
- Regular socials and activities, online and in-person
- We\’ll pay for your OpenAI subscription
- Online mental health support via Spill
- Workplace Nursery Scheme
- And many more!
Welcoming Everyone
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.
If there’s anything we can do to accommodate your specific situation, please let us know.
Download the Test Flight
App access for people in the UK & Europe: If you are an iOS user, please use this link to sign up to our TestFlight version of the app, so you can have a play around with the functionality and features: By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with CLEO. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with CLEO may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with CLEO\’s Candidate Privacy Notice
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
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Job function
Engineering and Information Technology
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Machine Learning Engineer employer: cleo
Contact Detail:
cleo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with Cleo's mission and values. Understanding their goal of transforming financial health will help you align your answers during interviews and demonstrate your passion for their cause.
✨Tip Number 2
Showcase your experience with machine learning projects that have real-world applications. Be prepared to discuss specific challenges you've faced and how your solutions made a tangible impact, as this aligns with Cleo's focus on practical problem-solving.
✨Tip Number 3
Engage with Cleo's online presence, especially on LinkedIn. Comment on their posts or share relevant content to get noticed by their team. This can help you build connections and show your enthusiasm for the company.
✨Tip Number 4
Prepare to discuss your communication skills, particularly how you convey complex technical concepts to non-technical stakeholders. Cleo values collaboration, so demonstrating your ability to bridge that gap will be crucial.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, data science, and any specific projects that align with Cleo's mission. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for transforming financial health through technology. Mention specific examples of your work that relate to the responsibilities outlined in the job description, such as building chatbots or optimising transactions.
Showcase Your Technical Skills: Clearly outline your proficiency in Python, SQL, and any production tools you’ve used. If you have experience with Docker or container orchestration, make sure to include that as well, as it’s relevant to the role.
Demonstrate Communication Skills: Since the role requires collaboration with non-technical stakeholders, provide examples of how you've effectively communicated complex technical concepts in previous roles. This could be through presentations, reports, or even blog posts.
How to prepare for a job interview at cleo
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and machine learning frameworks. Bring examples of projects you've worked on, especially those involving chat products or deploying models into production.
✨Understand Cleo's Mission
Familiarise yourself with Cleo's vision of transforming financial health. Be ready to explain how your skills can contribute to this mission and provide insights on how machine learning can enhance user experiences.
✨Communicate Clearly
Since you'll be working with non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Prepare for Problem-Solving Questions
Expect to tackle real-world problems during the interview. Think about how you would approach challenges like optimising transaction success rates or developing classifiers for user data, and be ready to discuss your thought process.
