CORE QUALIFICATIONS

• MSc/PhD in Computer Science, Machine Learning, Mathematics or related field, or equivalent industry experience.
• 5+ years software/ML engineering; 5+ years hands-on with deep-learning frameworks (PyTorch, TensorFlow, JAX) and distributed training on top of Python language.
• Demonstrable experience pre-training or extensively fine-tuning LLMs (GPT, Llama, Mistral, etc.) on multi-billion-token corpora, including RLHF or DPO techniques.
• Production experience with agentic frameworks and autonomous AI agents that learn and adapt in real-world environments.
• Hands-on knowledge of GNN libraries (PyTorch Geometric, DGL, Deep Graph Library) and graph databases (Neo4j, TigerGraph, Neptune).
• Proven ability to architect data pipelines with Spark/Flink/Databricks and deploy on AWS, GCP or Azure using Kubernetes and Terraform.

PREFERRED / BONUS SKILLS

• Experience optimising transformer models for edge devices (quantisation, pruning, distillation).
• Contributions to open-source GenAI projects, patents or peer-reviewed publications.
  If you’re excited about this role but don’t meet every requirement, we still encourage you to apply, your unique experience could be just what we need

NEED TO KNOW

• All roles will require a level of security clearance; BPSS OR Security Clearance OR Developed Vetting.
• You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone.
  

  LI-GP5

Lead the creation of production-grade AI systems that combine the state of the art techniques in AI/ML including but not limited to classical machine learning algorithms, modern techniques such as large-language models (LLMs), agentic AI frameworks, graph-neural networks (GNNs) and knowledge graphs to deliver autonomous, high-value business capabilities.
You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone.