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- Tasks: Design and build LLM-powered applications using cutting-edge NLP technologies.
- Company: Leading communications agency in Westminster with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, generous holiday allowance, and cultural stimulation support.
- Why this job: Join a dynamic team and create intelligent systems that make a real difference.
- Qualifications: Experience in machine learning, Python proficiency, and hands-on with LLM APIs.
- Other info: Exciting opportunities for professional growth in a vibrant work environment.
The predicted salary is between 30000 - 50000 £ per year.
A leading communications agency in Westminster seeks a Data Scientist to design and build LLM-powered applications. The role emphasizes developing intelligent systems leveraging NLP, working with APIs like OpenAI and Anthropic.
Candidates should have solid experience in machine learning, Python proficiency, and hands-on experience with LLM APIs.
This full-time position offers a competitive salary, hybrid work model, and diverse benefits, including generous holiday allowance and cultural stimulation support.
NLP Data Scientist: Build Production-Grade LLMs in City of Westminster employer: M&C Saatchi
Contact Detail:
M&C Saatchi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land NLP Data Scientist: Build Production-Grade LLMs in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 NLP and LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common interview questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace NLP Data Scientist: Build Production-Grade LLMs in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with NLP and LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing your Python proficiency and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building LLM-powered applications and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any projects involving machine learning or APIs like OpenAI and Anthropic, make sure to mention them. We love seeing practical examples of your work, so include links or descriptions that highlight your contributions.
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, we can’t wait to hear from you!
How to prepare for a job interview at M&C Saatchi
✨Know Your NLP Inside Out
Make sure you brush up on your knowledge of natural language processing. Be ready to discuss the latest trends and technologies in the field, especially around LLMs. Familiarise yourself with how APIs like OpenAI and Anthropic work, as you might be asked to explain their functionalities.
✨Showcase Your Python Skills
Since Python proficiency is key for this role, prepare to demonstrate your coding skills. You might be given a practical test or asked to solve a problem on the spot. Practise writing clean, efficient code and be ready to explain your thought process.
✨Prepare for Technical Questions
Expect technical questions that dive deep into machine learning concepts and algorithms. Review common ML models and their applications, and be prepared to discuss your past projects. Use specific examples to illustrate your experience and how you've tackled challenges.
✨Cultural Fit Matters
This agency values cultural stimulation, so be ready to discuss how you can contribute to their team dynamic. Think about your previous experiences in collaborative environments and how you can bring creativity and innovation to the table. Show them you're not just a tech whiz but also a great team player!
