At a Glance
- Tasks: Design and build machine learning models to optimise messaging across various channels.
- Company: Join a forward-thinking tech company shaping the future of AI-assisted development.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on experimentation and cross-disciplinary teamwork.
- Why this job: Make a real impact on user engagement and retention through innovative ML solutions.
- Qualifications: Experience in deploying ML models and solving complex optimisation problems.
Design, build, and ship machine learning models that optimize messaging across push, email, and in-app channels.
Plan and run A/B experiments in a multi-objective environment, balancing conversion, engagement, retention, and reachability.
Contribute to reinforcement learning systems that optimize for long-term user outcomes rather than immediate interactions.
Partner with product managers, data scientists, and engineers to define what success looks like and how to measure it.
Own the full ML lifecycle, from data and modeling to deployment, monitoring, and iteration.
Integrate ML models with upstream systems, including domain value signals and opportunity generation frameworks.
Help shape the future of AI-assisted development within the team, exploring how tools can accelerate experimentation and delivery.
You have strong experience building and deploying machine learning models in production environments at scale.
You are comfortable translating business problems into ML solutions and discussing trade-offs with cross-functional partners.
You have worked on complex optimization problems such as ranking systems or multi-objective decision-making.
You bring hands-on experience with PyTorch and distributed systems such as Ray or similar frameworks.
You understand experimentation deeply and can design reliable tests in environments with interacting metrics.
You are able to analyze results using approaches like causal inference or metric decomposition when needed.
You have experience with or curiosity about reinforcement learning and long-term optimization systems.
You enjoy working across disciplines and navigating ambiguity while shaping strategy and direction.
This role is based in London and Stockholm. We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allow for flexibility to work from home.
Senior Machine Learning Engineer - Messaging Platform employer: The available sources do not contain information about the company name for rounx.com.
As a Senior Machine Learning Engineer at our innovative company, you'll thrive in a dynamic work culture that values collaboration and creativity. With the flexibility to work from both London and Stockholm, we offer a unique opportunity to engage in meaningful projects that shape the future of AI-assisted development while enjoying a supportive environment that fosters professional growth and exploration. Join us to be part of a team that prioritises long-term user outcomes and encourages experimentation across diverse disciplines.
Contact Details:
The available sources do not contain information about the company name for rounx.com. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer - Messaging Platform
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The available sources do not contain information about the company name for rounx.com.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Machine Learning Engineer - Messaging Platform at The available sources do not contain information about the company name for rounx.com..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The available sources do not contain information about the company name for rounx.com..
✨Apply Directly through Our Website
When you find a suitable opening like Senior Machine Learning Engineer - Messaging Platform at The available sources do not contain information about the company name for rounx.com., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Machine Learning Engineer - Messaging Platform
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at The available sources do not contain information about the company name for rounx.com., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The available sources do not contain information about the company name for rounx.com.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at The available sources do not contain information about the company name for rounx.com.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The available sources do not contain information about the company name for rounx.com.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
