Data Scientist

Brighton (1 day per week) | £50,000 to £65,000 plus benefits

This is an opportunity for you to join a business that is building real, production‑ready generative AI products already being used by customers. You will work end to end across modelling, experimentation and deployment, shaping a platform that is scaling and evolving rapidly.

They are a growing, product‑led technology organisation developing advanced generative AI solutions used in commercial environments. Their platform has been live for several months and is gaining momentum, supported by strong investment and a collaborative, cross‑functional team. You will join a group that values experimentation, engineering rigour and continuous improvement.

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• Develop, train and deploy NLP, LLM and deep learning models.
  
• Write production‑grade Python code and deliver end‑to‑end machine learning features.
  
• Work with PyTorch, cloud environments and containerised microservices.
  
• Build and optimise NLP components including embeddings and intent or entity recognition.
  
• Apply techniques such as RAG, agentic workflows and model orchestration.
  
• Collaborate across engineering, data and product teams to deliver reliable AI features.
  
• Present your work clearly and contribute to knowledge sharing across the team.
  

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• Strong commercial experience in Python and production engineering.
  
• Hands‑on experience with LLMs, NLP or conversational AI.
  
• Practical exposure to deploying machine learning models into production.
  
• Familiarity with deep learning frameworks, cloud tooling, Docker or ECR.
  
• Understanding of microservices and modern ML workflows.
  
• Experience with reinforcement learning, RAG or agentic methods is beneficial.
  
• Confident communication skills and the ability to collaborate in a cross‑functional environment.
  
• A STEM background is preferred.
  

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• Salary between £50,000 and £65,000 plus a comprehensive benefits package.
  
• Flexible working with one day each week onsite.
  
• Ownership across modelling, experimentation and deployment.
  
• Opportunities to grow your technical scope in a scaling, product‑focused AI environment.
  

If you are interested in this opportunity, please apply with your CV.