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- Tasks: Implement Gen AI solutions and optimise models in a collaborative environment.
- Company: Leading firm in Financial Services with a focus on innovation.
- Benefits: Competitive pay rate, hybrid work flexibility, and potential contract extensions.
- Why this job: Join a dynamic team and make an impact in the financial services sector.
- Qualifications: Experience in financial services, strong Python skills, and cloud platform knowledge.
- Other info: Exciting opportunity for career growth in a fast-paced industry.
The predicted salary is between 130000 - 156000 £ per year.
A leading firm in Financial Services is seeking an AI Engineer for a 6-month contract with potential extensions. The role involves hands-on implementation of Gen AI solutions, optimizing models, and collaborating with cross-functional teams.
Candidates should have experience in financial services and a strong background in Python and cloud platforms.
The position offers a competitive pay rate of £650 - £700 per day, with hybrid work flexibility in London.
Gen AI Engineer: Production LLMs & RAG (London) employer: Investigo Limited
Contact Detail:
Investigo Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Engineer: Production LLMs & RAG (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those working with Gen AI. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Gen AI and Python. When you apply through our website, include links to your work so potential employers can see what you're capable of.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of cloud platforms and model optimisation. We recommend doing mock interviews with friends or using online resources to get comfortable with the questions you might face.
✨Tip Number 4
Follow up after applying! A quick email to express your enthusiasm can set you apart from other candidates. Remember, we’re all about making connections, so don’t hesitate to reach out!
We think you need these skills to ace Gen AI Engineer: Production LLMs & RAG (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in financial services and showcases your skills in Python and cloud platforms. We want to see how your background aligns with the Gen AI solutions we’re implementing!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your hands-on experience can contribute to our team. Let us know what makes you the perfect fit for this position.
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work with Gen AI solutions or model optimisation. We love seeing practical examples of your skills in action.
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 Investigo Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any cloud platforms you've worked with. Be ready to discuss specific projects where you've implemented Gen AI solutions, as this will show your hands-on experience.
✨Understand the Financial Services Landscape
Since the role is in financial services, it’s crucial to understand the industry’s challenges and how AI can address them. Research recent trends and be prepared to share your insights during the interview.
✨Showcase Collaboration Skills
This position involves working with cross-functional teams, so be ready to discuss examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve navigated team dynamics.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their current projects or future goals in AI. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
