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 a focus on innovation.
- Why this job: Make a real difference in people's lives while working with cutting-edge technology.
- Qualifications: Strong background in Data Science, ML, and excellent communication skills.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- 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.
Responsibilities include:
- Training and fine-tuning models to solve customer problems across our chatbot and the bank transaction data behind it
- Deploying these models into our production environments using our in-house ML platform
- 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
- Keeping Cleo at the forefront of NLP by driving the adoption of appropriate state-of-the-art techniques and communicating the team’s successes and learnings at the company level & beyond
- Mentoring & advising colleagues on their choices of models, architecture, and evaluation, promoting best practices for how we use LLMs
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
- 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 (Chat) in London employer: Deepstreamtech
Cleo is an exceptional employer for Senior Machine Learning Engineers, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, you will have the opportunity to lead impactful projects that directly enhance users' financial health while working alongside a talented team of engineers and product leaders. Located in a vibrant tech hub, Cleo provides access to cutting-edge resources and a supportive environment that encourages continuous learning and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer (Chat) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Machine Learning Engineers. 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 NLP or financial health. Share your work on platforms like GitHub or even write a blog post about your experiences – it’ll make you stand out!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach real-world problems!
✨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 to improve financial health.
We think you need these skills to ace Senior Machine Learning Engineer (Chat) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your excellent knowledge of Data Science, especially in Python and SQL. We want to see how you can apply these skills to real-world problems, so don’t hold back on showcasing your experience!
Communicate Clearly:Top-tier communication skills are a must! When writing your application, think about how you can convey complex ideas simply. We love candidates who can partner with Product and Commercial Leaders effectively.
Think Big Picture:We’re looking for someone who can diagnose problems and productionise research. In your application, share examples of how you've approached big-picture thinking in your past projects. It’ll help us see your problem-solving mindset!
Get Personal:Don’t forget to let your personality shine through! We want to know what drives you and how you can contribute to our mission of improving financial health. Apply through our website and make your application stand out!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills, as well as any other programming languages you might have experience with. Be ready to discuss specific projects where you've applied these skills, especially in a production environment.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in the past. Think of examples where you've used big picture thinking to diagnose issues or improve processes, particularly in machine learning contexts.
✨Communicate Like a Pro
Since top-tier communication skills are a must, practice explaining your technical work in simple terms. Be ready to discuss how you've collaborated with cross-functional teams and how you can bridge the gap between technical and non-technical stakeholders.
✨Stay Updated and Share Your Knowledge
Cleo values industry contributions, so be prepared to discuss any conferences, blogs, or open-source projects you've been involved in. This shows your passion for the field and your commitment to staying at the forefront of machine learning advancements.
