Role overview
This is a remote position.
We are looking for Data Scientists to join a long-term delivery programme focused on building production-grade AI and Generative AI solutions for enterprise customers. This is a hands-on role centred on real delivery and customer-facing systems, covering classical machine learning, advanced analytics, and LLM-based workflows including RAG. The environment is execution-driven, engineering-focused, and oriented towards measurable business impact
What you'll work on
- Design, develop, and deliver data-driven and AI-based solutions for enterprise use cases
- Translate business problems into robust data science and machine learning approaches
- Prepare, clean, and analyse structured and unstructured data
- Perform feature engineering and select appropriate modelling techniques
- Build, train, evaluate, and optimise machine learning models using Python or R
- Develop proof-of-concepts and evolve them into production-ready solutions
- Implement and improve Generative AI solutions, including RAG and LLM-based pipelines
- Evaluate model outputs and continuously improve quality, relevance, and reliability
- Contribute to technical design discussions and solution architecture
- Collaborate closely with engineers, product teams, and customer stakeholders
What we're looking for
- Experience with distributed data processing or Spark
- Exposure to deep learning frameworks such as TensorFlow or Keras
- Experience working in cloud-based environments
- Experience in fast-paced or delivery-focused project environments
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Machine Learning Data Science Generative Ai