At a Glance
- Tasks: Design and build AI-powered products, enhancing reasoning capabilities and performance.
- Company: Join Nevis, a fast-growing AI wealth management startup backed by top investors.
- Benefits: Enjoy competitive salary, equity, private medical insurance, and 25 days annual leave.
- Other info: Be part of a dynamic team with excellent growth opportunities in a high-paced environment.
- Why this job: Make a real impact in the wealth management industry with cutting-edge AI technology.
- Qualifications: Hands-on experience with LLMs and a STEM degree from a top university.
The predicted salary is between 72000 - 88000 £ per year.
About Nevis Nevis is building the world’s first AI wealth management platform.
In just 9 months, Nevis has grown to have over $50 billion of assets under management on its platform and is on track to have over $100 billion by the end of this year.
Nevis is also backed by world leading investors and has raised a total of $40 million from Sequoia Capital, ICONIQ and Ribbit.
Together it makes Nevis one of the highest funded and fastest growing Series A startups in Europe.
The Role We are looking for a talented and driven AI Engineer to join our core team at Nevis where you will play a pivotal role in shaping the next-generation AI-first wealthtech product.
You will address critical challenges faced by our business clients by building LLM-driven agentic automation pipelines.
You’ll work with cutting-edge LLM models and collaborate with leading vendors to enhance our product’s reasoning capabilities and elevate the quality of our models’ outputs to industry-leading standards - constantly raising the bar higher.
As part of a small, world-class team of engineers and product builders, including the former Head of AI at Revolut, you’ll have a unique opportunity to make a profound impact on one of the world’s largest industries.
What You’ll Do Design and build LLM and ML-powered products and features across Nevis’ platform.
Collaborate with engineers and product builders to bring new AI capabilities from experiment to production.
Establish best practices and design novel approaches for AI development, testing, observability, and reliability.
Continuously monitor and improve AI products performance and reasoning quality.
Partner with product and design teams to prototype and iterate on new AI features and products.
Stay ahead of the latest advances in Gen AI space, including agentic systems, reasoning capabilities and context engineering.
Who You Are Hands on experience with LLMs Proven track record of solving real-world problems with AI / ML Advanced statistical and data analysis skills STEM degree from top university Passionate about transformative AI technologies Product-driven mindset: prioritizing practical ML solutions for better client outcomes Proactive problem solver with get it done attitude Excellent communication skills for effective team collaboration Thrive in a fast-paced, high-growth environment and take ownership end-to-end Nice to Have Prior experience in AI startups Strong publications or Git Hub profile Why Join Nevis?
Work alongside a high-calibre founding team backed by some of the best investors in the world.
A fast-paced, high-growth environment with the opportunity to shape how the business operates.
Be part of a mission-driven company transforming the wealth management industry with huge potential for global impact. 25 days’ annual leave.
Private medical insurance.
Competitive salary and benefits package, including company equity.
Applied AI Engineer employer: Nevis Wealth
At Nevis, we pride ourselves on being an exceptional employer, offering a dynamic and fast-paced work environment where innovation thrives. As a Product Owner, you'll collaborate with a talented team of engineers and designers to shape the future of AI in wealth management, while enjoying competitive salaries, equity options, and ample opportunities for professional growth. Join us in our mission to revolutionise the industry and make a meaningful impact on financial advisors and their clients.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer
✨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 Nevis Wealth!
✨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 Nevis Wealth.
✨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 Nevis Wealth.
✨Apply Directly through Our Website
When you find a suitable opening like Applied AI Engineer at Nevis Wealth, 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
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 Nevis Wealth, 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 Nevis Wealth. 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 Nevis Wealth
✨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 Nevis Wealth!
✨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.
