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- Tasks: Design and build machine learning models to solve complex business challenges.
- Company: Leading tech company in Greater London with a dynamic AI team.
- Benefits: Competitive salary, career advancement, and collaborative work environment.
- Why this job: Lead exciting projects and make an impact in the AI field.
- Qualifications: 5+ years in Machine Learning, strong Python skills, and bilingual in Mandarin and English.
- Other info: Fast-paced environment with opportunities for collaboration and growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading tech company in Greater London is seeking a Multilingual AI Engineer to join their dynamic AI Team. The role involves designing, building, and testing machine learning models to address complex business challenges, primarily on the Azure platform.
Candidates should have over 5 years of experience in Machine Learning, with strong Python skills and proficiency in both Mandarin and English. This position offers opportunities to lead projects and collaborate closely with data scientists in a fast-paced environment.
Lead AI Engineer - Multilingual NLP & Azure ML in London employer: Chubblifefund
Contact Detail:
Chubblifefund Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer - Multilingual NLP & Azure ML in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving Azure ML. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in a collaborative environment.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Lead AI Engineer - Multilingual NLP & Azure ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Show Off Your Language Skills: Since this role requires proficiency in Mandarin and English, make sure to mention your language skills clearly. We love seeing candidates who can communicate effectively in both languages!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how your experience makes you a great fit for our team. Keep it engaging and personal – we want to get to know you!
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 Chubblifefund
✨Know Your Tech Inside Out
Make sure you brush up on your machine learning concepts and Azure ML specifics. Be ready to discuss your past projects in detail, especially those involving Python and multilingual NLP. This will show that you’re not just familiar with the tech but have hands-on experience.
✨Showcase Your Language Skills
Since proficiency in Mandarin and English is key for this role, prepare to demonstrate your language skills during the interview. You might be asked to explain technical concepts in both languages, so practice switching between them smoothly.
✨Prepare for Problem-Solving Questions
Expect to tackle some real-world problems during the interview. Brush up on your problem-solving techniques and be ready to walk through your thought process. This will highlight your analytical skills and how you approach complex challenges.
✨Emphasise Team Collaboration
This role involves working closely with data scientists, so be prepared to discuss your experience in team settings. Share examples of how you’ve led projects or collaborated effectively in the past, showcasing your leadership and teamwork skills.
