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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 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
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech community, attend meetups, and connect on LinkedIn. 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. This is your chance to demonstrate your expertise in Python and frameworks like TensorFlow and Hugging Face.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and 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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML and NLP. We want to see how you've used Python and frameworks like TensorFlow and Hugging Face in your previous projects. Customising your CV for this role will help us see you as a perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI and how your skills align with our needs. We love hearing about your innovative ideas and how you can contribute to our cutting-edge projects.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to know how you've tackled complex challenges using ML and NLP techniques.
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. Plus, it shows us you’re keen to join our team!
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 used these technologies, as this will show your practical experience and understanding.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex challenges you've tackled using ML and NLP techniques. Think of examples that highlight your analytical thinking and how you approached problem-solving in previous roles or projects.
✨Stay Updated on Industry Trends
Research the latest advancements in AI, especially in ML and NLP. Being able to discuss current trends or recent breakthroughs can impress your interviewers and demonstrate your passion for the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI projects and future goals. This not only shows your interest in the role but also helps you gauge if the company aligns with your career aspirations.
