Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop innovative machine learning solutions to enhance financial health and user experience.
- Company: Leading fintech company with a dynamic and collaborative team.
- Benefits: Competitive salary, hybrid/remote work options, and flexible working hours.
- Why this job: Join a cutting-edge team and make a real impact in the fintech industry.
- Qualifications: Strong background in data science, marketing growth experience, and programming skills.
- Other info: Exciting opportunities for career advancement in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading fintech company is seeking a (Senior) Machine Learning Engineer to develop innovative solutions in financial health. You will join a dynamic team to deploy machine learning models and collaborate with various departments to enhance user experience.
The ideal candidate will have:
- A solid background in data science
- Growth experience in marketing or personalisation
- Strong programming skills
This role offers a competitive salary and the flexibility to work hybrid or remote.
Senior Growth ML Engineer: Personalisation & Marketing in London employer: cleo
Contact Detail:
cleo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Growth ML Engineer: Personalisation & Marketing in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working in machine learning or marketing. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to personalisation and marketing. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in fintech. We recommend practising common ML interview questions and being ready to discuss how you can enhance user experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Growth ML Engineer: Personalisation & Marketing in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and any growth marketing projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing relevant achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about financial health and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Since this role requires strong programming skills, make sure to mention the languages and tools you’re proficient in. We love seeing practical examples of your work, so feel free to include links to projects or GitHub repositories.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at cleo
✨Know Your ML Models
Make sure you brush up on the machine learning models you've worked with. Be ready to discuss how you've deployed them in previous roles, especially in marketing or personalisation contexts. This will show your depth of knowledge and practical experience.
✨Showcase Your Growth Mindset
Prepare examples of how you've contributed to growth in past projects. Whether it's through A/B testing, user segmentation, or optimising algorithms, having concrete examples will demonstrate your ability to drive results in a fintech environment.
✨Collaborate Like a Pro
Since this role involves working with various departments, think of instances where you've successfully collaborated with cross-functional teams. Highlight your communication skills and how you’ve translated technical jargon into actionable insights for non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to personalisation and marketing. This not only shows your interest in the role but also gives you a chance to assess if the company’s values align with yours. It’s a two-way street!