Senior Data Scientist: Generative AI & Production ML

CGI Group Inc.

Bagstone

On-site

GBP 90,000 - 130,000

Full time

6 days ago
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Benefits offered by this job

Pension
Private healthcare
Share scheme (3.5% + 3.5% matching)
Armed Forces Covenant support
Training & development

Job summary

CGI Group Inc. is seeking a Senior Data Scientist to own production-ready AI/ML solutions. You will deploy models in AWS, use Docker/Kubernetes, and contribute to MLOps across the full lifecycle in a Gloucester, on-site role.

You'll work with data, cloud and software specialists to shape ideas, experiment with generative AI, and deliver scalable, trusted solutions that drive client value.

Qualifications

  • Strong experience across the data science and ML lifecycle.
  • Knowledge of Generative AI and emerging trends.
  • Hands-on with PyTorch, TensorFlow and NumPy.
  • Familiarity with MLOps practices and tooling.
  • Experience with AWS, Docker and Kubernetes.
  • Understanding of microservice architectures and scalable production environments.
  • Excellent collaboration and communication within multidisciplinary teams.
  • Location: able to work on site in Gloucester.

Responsibilities

  • Develop & Deliver: Build, test and deploy ML/AI solutions.
  • Innovate & Explore: Evaluate emerging AI/ML developments.
  • Own & Optimise: Improve model performance and reliability.
  • Engineer & Automate: Apply software engineering and testing practices.
  • Cloud & Scale: Develop workloads in AWS and cloud-native tech.
  • Containerise & Deploy: Use Docker, Kubernetes and AWS EKS.
  • Collaborate & Share: Work with data, engineering and cloud teams.

Skills

Data Science
ML/AI
MLOps
AWS
Docker
Kubernetes
Microservices
Software Engineering
Collaboration
Communication

Tools

PyTorch
TensorFlow
NumPy
Git
CI/CD

Job description

CGI Group Inc. is seeking a Senior Data Scientist to own production-ready AI/ML solutions. You will deploy models in AWS, use Docker/Kubernetes, and contribute to MLOps across the full lifecycle in a Gloucester, on-site role.

You'll work with data, cloud and software specialists to shape ideas, experiment with generative AI, and deliver scalable, trusted solutions that drive client value.

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