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- Tasks: Join us to design and deploy cutting-edge data science models focusing on NLP and LLMs.
- Company: ConnexAI is a leading firm in conversational AI, dedicated to delivering real-world value through innovative models.
- Benefits: Enjoy a hybrid work model, collaborative culture, and opportunities for continuous learning and growth.
- Why this job: Dive into exciting challenges, enhance your skills, and contribute to impactful projects in a supportive environment.
- Qualifications: Minimum 1 year of Data Science experience; proficiency in Python and machine learning techniques required.
- Other info: Curiosity and a passion for learning are key—NLP experience is a plus but not mandatory.
The predicted salary is between 28800 - 48000 £ per year.
Role: Data Scientist (LLMs)
Location: Manchester, UK (Hybrid – 3 days in the office)
Build the Future of AI-Powered Communication
We’re looking for a Data Scientist to join our growing LLM team, building production-ready large language models that power real enterprise applications. You’ll help train models, create datasets, and push performance boundaries in a fast-moving, research-driven environment.
What You’ll Do
- Train and fine-tune LLMs and ML models using standardised experiments and high-quality data.
- Build and improve LLM-based systems for low-latency RAG systems, intent detection, call scoring, and email classification.
- Support real-time inference infrastructure with ultra-low latency and detailed monitoring.
- Create and maintain evaluation datasets to test safety, prompt following, and conversational quality.
- Collaborate with engineers and researchers to apply new ideas from the latest LLM and ML research.
What We’re Looking For
- MSc or PhD in Computer Science, Data Science, Mathematics, Physics, or a related field.
- Strong Python skills (pandas, NumPy, scikit-learn, PyTorch).
- Curiosity, rigour, and drive to improve model performance.
Why Join Us
- Work on real applied LLMs from training to deployment.
- Collaborate with an ambitious, research-informed team.
- Shape the next generation of AI-driven communication tools.
Contact Detail:
ConnexAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (LLMs)
✨Tip Number 1
Familiarise yourself with the latest advancements in Large Language Models (LLMs) and Natural Language Processing (NLP). Engaging with recent research papers and online courses can give you a solid foundation and demonstrate your commitment to staying current in the field.
✨Tip Number 2
Showcase your problem-solving skills by discussing specific projects where you've tackled unique challenges. Be prepared to explain your thought process and the innovative tools or techniques you used, as this will highlight your ability to contribute to ConnexAI's fast-paced environment.
✨Tip Number 3
Network with professionals in the data science community, especially those focused on NLP and LLMs. Attend meetups, webinars, or conferences to connect with like-minded individuals and potentially gain insights into the company culture at ConnexAI.
✨Tip Number 4
Prepare to discuss how you ensure data quality and integrity in your work. Being able to articulate your approach to curating high-quality datasets will resonate well with ConnexAI's emphasis on delivering impactful results through rigorous data standards.
We think you need these skills to ace Data Scientist (LLMs)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Data Science, particularly any work with NLP and LLMs. Use specific examples to demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your curiosity-driven approach. Mention how your background aligns with ConnexAI's focus on model performance and real-world applications.
Showcase Relevant Projects: If you have worked on projects involving machine learning, NLP, or LLMs, be sure to include them in your application. Describe your role, the challenges faced, and the outcomes achieved to illustrate your capabilities.
Highlight Continuous Learning: Mention any recent courses, certifications, or research papers you've engaged with that relate to data science, NLP, or LLMs. This shows your commitment to staying current in the field and your eagerness to learn.
How to prepare for a job interview at ConnexAI
✨Showcase Your Passion for Data Science
Make sure to express your enthusiasm for data science and your curiosity about uncovering patterns in data. Share specific examples of projects where you tackled challenges, especially those related to NLP or LLMs, to demonstrate your dedication to the field.
✨Highlight Relevant Experience
With at least a year of experience required, be prepared to discuss your practical applications of machine learning techniques. Focus on your proficiency in Python and any relevant libraries like pandas, NumPy, and PyTorch, as these are crucial for the role.
✨Demonstrate Continuous Learning
ConnexAI values staying current with research, so mention any recent papers you've read or projects where you've applied cutting-edge techniques. This shows your commitment to professional growth and your ability to apply new knowledge to real-world problems.
✨Prepare for Problem-Solving Questions
Expect to face unique and challenging problems during the interview. Practice articulating your thought process when approaching complex issues, and be ready to propose innovative solutions that align with the company's focus on model performance and client needs.
