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Data Scientist

Skills

aicloudgcpllmmachine learningGCP

Description

Salary: £? - ? per year

Requirements:
  • Hands-on experience with Google Cloud Platform (GCP) and cloud engineering
  • Strong understanding of data science, artificial intelligence, and machine learning
  • Experience with classical machine learning and Large Language Model evaluation
  • Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), experiment design, and model cards
  • Experience supporting software development, application integration, and technical troubleshooting
  • Ability to translate business requirements into practical technical solutions
  • Strong stakeholder communication, documentation, and problem-solving skills
Responsibilities:
  • Develop and evaluate AI and machine learning solutions, including classical ML models and LLM-based applications
  • Apply problem framing, AI/ML performance metrics, experiment design, and model evaluation techniques
  • Support prompt engineering, RAG concepts, and model documentation
  • Gather business and technical requirements and identify dependencies across applications and processes
  • Contribute to application solution design, coding, configuration, and technical reviews
  • Review code quality, troubleshoot technical issues, and implement improvements
  • Perform root cause analysis to resolve recurring application and software problems
  • Support application integration, deployment, configuration validation, and performance optimisation
  • Collaborate with project managers and technical teams throughout the software development lifecycle
  • Produce technical documentation, user guidance, and implementation materials
Technologies:
  • AI
  • Cloud
  • GCP
  • Support
  • LLM
  • Machine Learning
  • RAG

More:

We are recruiting for a contract Data Scientist to join a technology-focused delivery environment. In this role, you will support the development, evaluation, and implementation of AI, machine learning, and cloud-based application solutions. You will work alongside project managers, developers, and technical stakeholders to deliver reliable, scalable, and well-documented solutions across technical design, model evaluation, and implementation.

last updated 41 week of 2026

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