At a Glance
- Tasks: Develop and optimise Gen AI solutions and large language models.
- Company: Leading financial services firm with a focus on innovation.
- Benefits: Competitive pay of £650 - £700 per day and hybrid working setup.
- Why this job: Join a dynamic team and make an impact in the AI space.
- Qualifications: Strong Python skills and experience with cloud AI services required.
- Other info: 6-month contract with opportunities for collaboration and growth.
A leading financial services firm is seeking an experienced AI Engineer for a 6-month contract based in London, requiring hands-on implementation of Gen AI solutions. The role involves developing and optimizing large language models as well as collaborating with cloud teams for secure deployments.
Ideal candidates will have strong expertise in Python and cloud AI services, along with excellent stakeholder management skills.
Competitive pay rate of £650 - £700 per day offered in a hybrid working setup.
Gen AI Engineer — London Contract (LLMs, RAG, MLOps) employer: Investigo
Contact Detail:
Investigo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Engineer — London Contract (LLMs, RAG, MLOps)
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Gen AI Engineer role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous work with large language models and MLOps. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your Python skills and be ready to tackle technical questions or coding challenges during interviews. We all know how important it is to impress with your technical prowess!
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for roles like this one. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Gen AI Engineer — London Contract (LLMs, RAG, MLOps)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with large language models and cloud AI services. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Gen AI Engineer role. Share specific examples of your work in Python and stakeholder management that demonstrate your expertise.
Showcase Your Collaboration Skills: Since this role involves working closely with cloud teams, make sure to mention any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork 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 don’t miss out on any important updates from us!
How to prepare for a job interview at Investigo
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant cloud AI services. Be ready to discuss specific projects where you've implemented Gen AI solutions, especially focusing on large language models. The more detailed you can be about your hands-on experience, the better!
✨Showcase Your Collaboration Skills
Since this role involves working closely with cloud teams, prepare examples of how you've successfully collaborated in the past. Think about times when you managed stakeholders effectively or resolved conflicts. This will demonstrate your ability to work well in a team environment.
✨Prepare for Technical Questions
Expect some technical questions that dive deep into LLMs, RAG, and MLOps. Brush up on the latest trends and best practices in these areas. Practising coding challenges or discussing case studies can help you articulate your thought process during the interview.
✨Understand the Company’s Needs
Research the financial services firm and understand their specific challenges and goals related to AI. Tailor your responses to show how your skills can directly address their needs. This shows that you're not just looking for any job, but that you're genuinely interested in contributing to their success.