Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy machine learning solutions focusing on Large Language Models.
- Company: Innovative software development company with a focus on AI solutions.
- Benefits: Flexible remote work options, competitive salary, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: 2–3+ years in Data Science, strong Python skills, and expertise in LLMs.
- Other info: Perfect for those seeking a balance between collaboration and independence.
The predicted salary is between 50000 - 60000 £ per year.
A software development company is seeking a Data Scientist to design and deploy machine learning solutions with a focus on Large Language Models. The role involves building and deploying ML solutions, preparing data, and fine-tuning models.
Candidates should have 2–3+ years in Data Science with strong Python skills and expertise in LLMs. This position offers flexibility with mostly remote work options, making it ideal for those looking for a balance between collaboration and independence.
Data Scientist - LLMs & AI Solutions (Remote/Hybrid) employer: Franklin Bates
Contact Detail:
Franklin Bates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - LLMs & AI Solutions (Remote/Hybrid)
✨Tip Number 1
Network like a pro! Reach out to fellow data scientists and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving LLMs. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in AI and LLMs. Practice common data science interview questions and be ready to discuss your past projects in detail.
✨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 ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist - LLMs & AI Solutions (Remote/Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and Large Language Models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your background makes you a perfect fit for our team. We love hearing personal stories that connect to the role.
Showcase Your Python Skills: Since strong Python skills are a must, make sure to mention any specific libraries or frameworks you’ve worked with. If you’ve built or deployed ML solutions before, let us know how you did it!
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 Franklin Bates
✨Know Your LLMs
Make sure you brush up on your knowledge of Large Language Models. Be ready to discuss specific models you've worked with, their applications, and any challenges you've faced. This shows your expertise and passion for the field.
✨Showcase Your Python Skills
Prepare to demonstrate your Python proficiency. Have examples ready where you've used Python for data manipulation, model building, or deployment. Being able to talk through your code or projects can really impress the interviewers.
✨Data Preparation is Key
Be prepared to discuss your approach to data preparation and cleaning. Share specific techniques you've used to handle messy datasets, as this is crucial in machine learning. Highlighting your problem-solving skills here can set you apart.
✨Emphasise Flexibility and Collaboration
Since this role offers remote work options, be ready to talk about how you manage your time and collaborate with teams remotely. Share examples of successful projects where you balanced independence with teamwork, showing that you can thrive in a flexible environment.