At a Glance
- Tasks: Lead the vision and strategy for AI-powered solutions, collaborating with cross-functional teams.
- Company: Join a dynamic team at Revolut, shaping innovative experiences for customers.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: We value diversity and encourage applicants from all backgrounds to apply.
- Why this job: Make a real impact by developing cutting-edge AI products in a fast-paced environment.
- Qualifications: Experience in AI product development, strong analytical skills, and programming expertise.
The predicted salary is between 60000 - 80000 £ per year.
About The Role
The Product team shapes the experiences that power Revolut. They turn complex problems into simple, scalable solutions — collaborating across Design, Engineering, and Data to build features our customers love. We're looking for an Applied AI Lead who knows how to take responsibility over the roadmap of their product, including day‐to‐day operations, project execution, and addressing risks. From conception to launch and beyond, you'll collaborate cross‐functionally and communicate with senior management to be the go‐to person for your product.
What You'll Be Doing
- Owning the product vision, strategy, and roadmap for AI‐powered solutions, leveraging LLMs and other machine learning technologies
- Collaborating closely with Data Scientists and Software Engineers to deliver impactful solutions
- Leading cross‐functional teams to build and deploy NLP and AI solutions, such as AI assistants and AI automation platforms
- Setting your team's goals, success metrics, and roadmap to align with company goals
- Delivering measurable results for sophisticated products under ambiguous situations in a fast‐paced environment
What You'll Need
- Experience developing and launching AI products/features from scratch
- High analytical and technical acumen, along with solid business sense and problem‐solving skills
- Experience in a data science or machine learning role
- Experience owning machine learning projects, from design to implementation and iteration
- Great Python, SQL, or other programming language skills
- Hands‐on experience with deep learning libraries (TensorFlow, Keras, PyTorch, etc.)
- Knowledge of version control, model deployment, and developer environments
- Evidence of impressive mathematical and statistical knowledge
- An entrepreneurial drive to never settle
We encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard‐working team.
Applied AI Engineer in London employer: Revolut
Revolut is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the financial sector. With a strong emphasis on employee growth and development, we offer unique opportunities to shape regulatory practices while collaborating with industry leaders in a fast-paced environment. Join us in our London office to be part of a forward-thinking team that values compliance and drives the future of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer in London
✨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 Revolut!
✨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 Applied AI Engineer at Revolut.
✨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 Revolut.
✨Apply Directly through Our Website
When you find a suitable opening like Applied AI Engineer at Revolut, 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 Applied AI Engineer in London
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 Revolut, 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 Revolut. 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 Revolut
✨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 Revolut!
✨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.
