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- Tasks: Design and implement advanced AI solutions using ML and NLP techniques.
- Company: Leading technology client in the UK with a focus on innovation.
- Benefits: Competitive perks, private healthcare, and a performance-based bonus.
- Why this job: Work on cutting-edge projects and tackle complex challenges in AI.
- Qualifications: Proficient in Python and familiar with TensorFlow and Hugging Face.
- Other info: £2k learning budget to enhance your skills and career growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology client in the United Kingdom is seeking an AI Engineer to design and implement advanced AI solutions for their core platform. You will work on cutting-edge projects leveraging ML and NLP techniques to solve complex challenges.
The ideal candidate is proficient in Python and familiar with frameworks such as TensorFlow and Hugging Face.
This role offers competitive perks, including private healthcare and a performance-based bonus.
AI Engineer: ML/NLP Specialist | £2k Learning Budget in London employer: Eliden
Contact Detail:
Eliden Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer: ML/NLP Specialist | £2k Learning Budget in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML and NLP. Use platforms like GitHub to share your code and demonstrate your expertise in Python and relevant frameworks.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and practical coding challenges. Practice explaining your thought process clearly, as communication is key in tech roles.
✨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 get noticed by our hiring team.
We think you need these skills to ace AI Engineer: ML/NLP Specialist | £2k Learning Budget in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and any experience you have with ML and NLP frameworks like TensorFlow and Hugging Face. We want to see how your skills align with the cutting-edge projects we’re working on!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the AI Engineer role. We love seeing candidates who take the initiative to connect their experiences with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role. Avoid fluff and get straight to the good stuff!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to showcase your application in the best light. Plus, it helps us keep everything organised!
How to prepare for a job interview at Eliden
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with frameworks like TensorFlow and Hugging Face. Be ready to discuss specific projects where you've applied ML and NLP techniques, as this will show your practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex challenges you've faced in previous roles and how you tackled them using AI solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Stay Updated on Industry Trends
Research the latest advancements in AI, particularly in ML and NLP. Being able to discuss current trends or recent breakthroughs can demonstrate your passion for the field and your commitment to continuous learning.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI projects and their future direction. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals.
