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For Companies At a Glance
- Tasks: Develop cutting-edge AI solutions and collaborate with clients across diverse industries.
- Company: Forward-thinking AI consultancy in the UK with a dynamic team.
- Benefits: Competitive salary up to £130,000 and hybrid work flexibility.
- Why this job: Join a rapidly evolving field and enhance your skills in AI development.
- Qualifications: Strong Python development skills and experience in AI solutions.
- Other info: Mid-Senior level role with excellent career growth opportunities.
The predicted salary is between 78000 - 130000 £ per year.
A forward-thinking AI consultancy in the UK seeks a Senior AI Engineer to develop AI solutions, particularly LLM/GenAI products. You will leverage your Python development skills while collaborating closely with clients across various industries. This Mid-Senior level role offers a competitive salary of up to £130,000 with hybrid work flexibility. Join a dynamic team of AI Engineers and enhance your skills in a rapidly evolving field.
Senior AI Engineer - Python Pro for GenAI Solutions in London employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - Python Pro for GenAI Solutions in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a great position.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to LLM/GenAI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. Practising with friends or using online platforms can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior AI Engineer - Python Pro for GenAI Solutions in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python development experience in your application. We want to see how you've used Python to create innovative AI solutions, especially in the realm of LLM/GenAI products.
Tailor Your Application: Don’t just send a generic CV and cover letter. We’re looking for candidates who can demonstrate their understanding of our consultancy's needs. Tailor your application to show how your skills align with the role and our mission.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and how it relates to the position.
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 our team.
How to prepare for a job interview at Saragossa
✨Know Your Python Inside Out
As a Senior AI Engineer, your Python skills are crucial. Brush up on advanced Python concepts and libraries relevant to AI, like TensorFlow or PyTorch. Be ready to discuss your past projects and how you used Python to solve complex problems.
✨Understand GenAI Products
Familiarise yourself with the latest trends in Generative AI and LLMs. Research the company's existing products and think about how you can contribute to their development. This shows your genuine interest and helps you stand out.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities. Practice coding challenges and be prepared to explain your thought process. Use platforms like LeetCode or HackerRank to sharpen your skills before the interview.
✨Showcase Your Collaboration Skills
Since this role involves working closely with clients, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked with teams or clients to deliver AI solutions, highlighting your communication skills.
