At a Glance
- Tasks: Design innovative AI applications and enhance proprietary models for finance.
- Company: 9fin, a forward-thinking company in the financial services sector.
- Benefits: Competitive salary, equity, and a flexible hybrid working model.
- Other info: Exciting opportunity for growth in a dynamic industry.
- Why this job: Join a cutting-edge team and shape the future of AI in finance.
- Qualifications: Extensive experience with open-weight models and strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
9fin in the Greater London area is seeking an experienced Senior AI Engineer to advance their application of AI in financial services. This role involves designing innovative generative AI applications and improving proprietary models, suited for complex financial workflows.
Candidates should possess extensive experience with open-weight models and strong proficiency in Python.
This position offers a competitive salary, equity, and a hybrid working model for flexibility in the workplace.
Senior AI Engineer: LLMs & Finetuning for Finance in London employer: 9fin
9fin is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, the company provides ample opportunities for professional development in the rapidly evolving field of AI within financial services. The hybrid working model ensures flexibility, while competitive salaries and equity options make 9fin an attractive choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer: LLMs & Finetuning for Finance 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 9fin!
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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 9fin.
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When you find a suitable opening like Senior AI Engineer: LLMs & Finetuning for Finance at 9fin, 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 AI Engineer: LLMs & Finetuning for Finance 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 9fin, 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 9fin. 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 9fin
✨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 9fin!
✨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.