At a Glance
- Tasks: Create innovative ML solutions to enhance users' financial health and optimise transactions.
- Company: Join Cleo, a forward-thinking company dedicated to improving financial well-being.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and impactful projects.
- Why this job: Make a real difference in people's lives while working with cutting-edge technology.
- Qualifications: Experience in data science, strong communication skills, and a passion for problem-solving.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- Experience in Growth, Marketing (MMM and/or LTV models)
- Excellent knowledge of both Data Science (Python, SQL) and production tools
- A deep understanding of probability and statistics fundamentals
- Big picture thinking to correctly diagnose problems and productionise 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
- Advanced Degree in a quantitative discipline or equivalent commercial experience
- (Desirable) Strong experience with additional programming languages, such as Java, Scala, C++
What the job involves
(Senior) 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 (Senior) 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.
You’ll be joining the Machine Learning Growth domain, you can expect to develop MMM and/or LTV models. Deploying these models into our production environments using our in-house ML platform, or integrate with LLMs hosted by OpenAI, Anthropic, GCP, AWS and others.
Working cross-functionally with backend engineers, data analysts, UX writers, product managers, annotation teams, and others to ship features that improve our users’ financial health. Taking the initiative to propose & lead technical work towards problems that were previously unknown or poorly understood. Driving change at the chapter level that affects multiple squads. Mentoring & advising colleagues on their choices of models, architecture, and evaluation.
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:
- 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
- Developed contextual intent classifiers to understand what conversations users are having with Cleo, enabling control of how Cleo should respond
- Building ML models to understand the actions that users have available to them in Cleo and provide those contextually in conversations
- Built ML models to understand the risk of customers using bank transaction features and user activity
- Built models to optimise the payment success for our customers and optimising the costs for the business
Whatever problem you tackle, and whichever team you join, your work will directly impact those most in need, helping to improve their financial health.
Senior Machine Learning Engineer (Marketing) in London employer: Deepstreamtech
Cleo is an exceptional employer for Senior Machine Learning Engineers, offering a dynamic work culture that fosters creativity and collaboration. With a strong focus on employee growth, you will have the opportunity to lead innovative projects that directly impact users' financial health while working alongside talented professionals in a supportive environment. Located in a vibrant tech hub, Cleo provides access to industry-leading resources and networking opportunities, making it an ideal place for those looking to make meaningful contributions in the field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer (Marketing) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and marketing models. Share it on platforms like GitHub or your personal website to grab attention.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key when working with cross-functional teams.
✨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 genuinely interested in joining our mission.
We think you need these skills to ace Senior Machine Learning Engineer (Marketing) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with growth and marketing models like MMM and LTV. We want to see how your data science skills in Python and SQL can shine through in your application!
Communicate Clearly:Top-tier communication is key! Use your application to demonstrate how you can partner with product and commercial leaders. We love seeing clear, concise examples of your past collaborations.
Think Big Picture:We’re looking for someone who can diagnose problems and productionise research. In your application, share instances where you’ve tackled complex issues and how you approached them with a big-picture mindset.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Deepstreamtech
✨Know Your Stuff
Make sure you brush up on your data science skills, especially in Python and SQL. Be ready to discuss your experience with growth and marketing models like MMM and LTV. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to applying these concepts.
✨Showcase Your Big Picture Thinking
Prepare examples of how you've diagnosed problems and productionised research in past roles. Think about specific projects where your big picture thinking made a difference. This will demonstrate your ability to tackle complex issues and contribute to the team’s goals.
✨Communicate Like a Pro
Since top-tier communication skills are a must, practice explaining your technical work in simple terms. You might be asked to partner with product and commercial leaders, so being able to convey complex ideas clearly is key. Consider doing mock interviews with friends to refine your pitch.
✨Be Ready to Lead and Mentor
They’re looking for someone who can take initiative and lead technical work. Think of times when you’ve mentored others or driven change in your previous roles. Be prepared to discuss how you can support your future colleagues in making informed choices about models and architecture.
