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- Tasks: Develop and optimise machine learning solutions for a leading retail platform.
- Company: Join a top SaaS company with a focus on innovation and collaboration.
- Benefits: Enjoy competitive benefits and a flexible remote working environment.
- Why this job: Take ownership of ML models and work with cutting-edge NLP and AI technologies.
- Qualifications: 6+ years in data science, strong Python and SQL skills required.
- Other info: Be part of a dynamic team driving innovative data solutions.
The predicted salary is between 48000 - 72000 £ per year.
A leading SaaS company is seeking a Senior Data Scientist to develop and optimize machine learning solutions for their retail platform. This remote role involves end-to-end ownership of ML models, working closely with cross-functional teams, and leveraging NLP and AI technologies.
Ideal candidates will have over 6 years of experience in data science, a strong proficiency in Python and SQL, and a passion for innovative data solutions. The company offers competitive benefits and a flexible working environment.
Senior ML Scientist – NLP/LLM, Remote in London employer: HighlightTA
Contact Detail:
HighlightTA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Scientist – NLP/LLM, Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks 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 ML projects, especially those involving NLP and LLMs. This is your chance to demonstrate your expertise and passion for innovative data solutions.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and SQL skills. We all know that technical interviews can be tough, so practice coding challenges and be ready to discuss your past projects in detail.
✨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 are proactive about their job search!
We think you need these skills to ace Senior ML Scientist – NLP/LLM, Remote in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning, especially with NLP and LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data science and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Technical Skills: Since we’re looking for someone with strong Python and SQL skills, make sure to mention specific tools or frameworks you’ve used. We love seeing practical examples of your work, so feel free to include links to your projects or GitHub!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at HighlightTA
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with machine learning models in detail. Be prepared to explain the end-to-end process of how you've developed and optimised these models, especially in the context of NLP and AI technologies.
✨Showcase Your Python and SQL Skills
Since proficiency in Python and SQL is crucial for this role, brush up on your coding skills. You might be asked to solve a problem or write a query during the interview, so practice common data manipulation tasks and algorithms.
✨Highlight Cross-Functional Collaboration
This role involves working closely with various teams, so be ready to share examples of how you've successfully collaborated with others. Discuss any projects where you’ve worked with different departments to achieve a common goal.
✨Demonstrate Your Passion for Innovation
The company values innovative data solutions, so come prepared with ideas or examples of how you've pushed the boundaries in your previous roles. Show them that you're not just about maintaining the status quo but are eager to explore new possibilities.
