Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop AI systems using ML/DL and NLP techniques to solve real-world problems.
- Company: Leading tech firm in the UK with a focus on innovation and excellence.
- Benefits: Attractive salary, flexible working hours, and opportunities for continuous learning.
- Other info: Ideal for those with 5+ years of experience looking to advance their career.
- Why this job: Join a dynamic team and work on cutting-edge AI technologies that shape the future.
- Qualifications: Bachelor’s or Master’s degree in a relevant field and strong Python programming skills.
The predicted salary is between 60000 - 84000 £ per year.
A leading technology firm in the United Kingdom is seeking a skilled candidate for a role in data science that requires a Bachelor’s or Master’s degree in a relevant field and strong programming skills in Python. The position involves working with machine learning frameworks such as TensorFlow and PyTorch, as well as data processing tools like Pandas and NumPy. A solid understanding of algorithms and familiarity with cloud platforms will be essential in this technically demanding role.
Qualifications:
- Senior (5+ years of experience)
AI Engineer — ML/DL & NLP Systems employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer — ML/DL & NLP Systems
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving TensorFlow, PyTorch, or any NLP systems. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and coding challenges. Use platforms like LeetCode or HackerRank to practice, and don’t forget to review cloud platforms as well!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that match your skills. Don’t hesitate to submit your application directly; it’s the best way to get noticed!
We think you need these skills to ace AI Engineer — ML/DL & NLP Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI, ML/DL, and NLP systems. We want to see how your skills in Python and frameworks like TensorFlow and PyTorch shine through!
Showcase Your Projects: Include any personal or professional projects that demonstrate your expertise with data processing tools like Pandas and NumPy. We love seeing practical applications of your skills!
Highlight Your Education: Since a degree in a relevant field is key for us, don’t forget to mention your Bachelor’s or Master’s degree prominently. It helps us understand your academic background in relation to the role.
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 this exciting opportunity!
How to prepare for a job interview at NLP PEOPLE
✨Know Your Tech Inside Out
Make sure you’re well-versed in the machine learning frameworks like TensorFlow and PyTorch. Brush up on your Python programming skills, as you’ll likely be asked to solve coding problems or discuss your previous projects using these technologies.
✨Showcase Your Data Skills
Be prepared to discuss your experience with data processing tools such as Pandas and NumPy. Bring examples of how you've used these tools in past projects to manipulate and analyse data effectively.
✨Understand Algorithms and Cloud Platforms
Since a solid understanding of algorithms is crucial, review key concepts and be ready to explain them. Also, familiarise yourself with cloud platforms, as they may ask about your experience deploying models in a cloud environment.
✨Prepare for Behavioural Questions
Don’t forget to prepare for behavioural questions that assess your problem-solving skills and teamwork. Think of specific examples from your past experiences that demonstrate your ability to work under pressure and collaborate with others.