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- Tasks: Develop and deploy advanced AI language models for financial services.
- Company: Join Aveni, a leader in FinTech innovation with a remote-first culture.
- Benefits: Enjoy flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with significant machine learning experience.
- Why this job: Be at the forefront of AI technology and make a real impact in finance.
- Qualifications: Master's degree in a relevant field and strong Python skills required.
The predicted salary is between 70000 - 90000 £ per year.
Aveni is seeking a Senior AI Engineer (FinLLM / NLP) to drive the next generation of AI systems for financial services. The successful candidate will develop, fine-tune, and deploy advanced language models in production environments.
Responsibilities include:
- Building optimal NLP pipelines
- Ensuring data governance
- Leading technical efforts
The role requires significant machine learning experience and strong Python skills, along with a Master's degree in a relevant field. Remote-first working is available across the UK.
Senior FinTech AI Engineer - Production NLP/LLM (Remote) in London employer: Aveni
Contact Detail:
Aveni Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior FinTech AI Engineer - Production NLP/LLM (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the FinTech and AI space on LinkedIn. Join relevant groups and participate in discussions to get your name out there. You never know who might have a lead on that perfect Senior AI Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your NLP projects or any advanced language models you've worked on. This is your chance to demonstrate your expertise in Python and machine learning, making you stand out to potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with NLP pipelines and data governance. Practising common interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Senior FinTech AI Engineer - Production NLP/LLM (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with NLP and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in financial services and how your background makes you the perfect fit for our team at Aveni.
Showcase Your Technical Skills: Since we’re looking for someone with strong Python skills, make sure to mention any relevant programming projects or experiences. We love seeing practical applications of your knowledge!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Aveni
✨Know Your NLP Inside Out
Make sure you brush up on your knowledge of natural language processing and large language models. Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of understanding and practical experience.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common algorithms and data structures in Python can really help you shine.
✨Understand Data Governance
Familiarise yourself with data governance principles, especially as they relate to financial services. Be prepared to discuss how you would ensure compliance and ethical use of data in your projects. This shows that you’re not just technically skilled but also aware of the broader implications of your work.
✨Prepare Questions for Them
Interviews are a two-way street, so think of insightful questions to ask about Aveni's approach to AI in financial services. This could include inquiries about their current projects, team dynamics, or future goals. It demonstrates your genuine interest in the company and the role.