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- Tasks: Design and deliver innovative AI solutions using Generative AI models.
- Company: Leading consultancy with a focus on cutting-edge AI technology.
- Benefits: Competitive salary, hybrid working model, and comprehensive benefits.
- Why this job: Join a dynamic team and shape the future of AI in enterprise solutions.
- Qualifications: 3+ years in machine learning and experience with Azure Foundry.
- Other info: Exciting opportunities for professional growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading consultancy is seeking an AI & Machine Learning Engineer to design and deliver innovative AI solutions. This role involves deploying Generative AI models and developing advanced AI pipelines in collaboration with a dynamic team. The ideal candidate has over 3 years of experience in machine learning and proficiency in frameworks like Azure Foundry. Competitive salary and benefits offered along with a hybrid working model.
GenAI & LLM Engineer for Enterprise AI (Azure) in Reading employer: F
Contact Detail:
F Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI & LLM Engineer for Enterprise AI (Azure) in Reading
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space, especially those who work with Generative AI. Attend meetups or webinars to connect with potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Foundry and advanced AI pipelines. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and machine learning questions. Practice explaining your past projects and how they relate to the role of GenAI & LLM Engineer. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace GenAI & LLM Engineer for Enterprise AI (Azure) in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and any specific frameworks like Azure Foundry. 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 passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about this role and the innovative work we do.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! We love seeing practical examples of your work, especially if they involve Generative AI models or advanced AI pipelines. It gives us a glimpse into your hands-on experience.
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 – just follow the prompts and let us know you’re interested!
How to prepare for a job interview at F
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI and machine learning frameworks, especially Azure Foundry. Be ready to discuss specific projects you've worked on and how you tackled challenges in deploying AI models.
✨Showcase Your Team Spirit
Since this role involves collaboration with a dynamic team, be prepared to share examples of how you've successfully worked in teams before. Highlight your communication skills and how you contribute to a positive team environment.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Review common algorithms, AI pipelines, and deployment strategies. Practising coding problems related to machine learning can also give you an edge.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to AI solutions and how they envision the future of AI in their projects. This shows your genuine interest in the role and the company.
