Senior AI/ML Solutions Architect

Accenture UK & Ireland

Dublin

On-site

EUR 140,000 - 210,000

Full time

42 hours ago
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Job summary

Accenture UK & Ireland is seeking a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will combine custom models with cloud services to deliver production-ready outcomes across the full lifecycle from problem framing to deployment.

The role emphasizes scalable data pipelines, MLOps/LLMOps, and collaboration with business and technical teams to ensure value, reliability, and governance of deployed systems.

Qualifications

  • Significant experience deploying ML models in production at scale.
  • Distributed computing and big data experience.
  • Experience building cloud-enabled AI/ML software.
  • Monitoring, alerting, and auditing of models in production.

Responsibilities

  • Formulate real-world problems into scalable AI/ML solutions.
  • Develop models, data pipelines, and MLOps for training and production.
  • Customize Deep Learning and Gen AI models for client needs.
  • Research new AI/HPC algorithms and applications for clients.
  • Work with large-scale datasets and data preprocessing.
  • Implement data storage and retrieval for models and knowledge.
  • Justify model approaches in business terms.
  • Collaborate with cross-functional teams to deliver end-to-end projects.

Skills

Communication
Client-facing
Cross-functional collaboration
Entrepreneurial mindset

Education

Bachelor's Degree or equivalent
MS or PhD preferred

Tools

Python
TensorFlow
PyTorch
C++
Java
R
SQL
AWS

Job description

Accenture UK & Ireland is seeking a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will combine custom models with cloud services to deliver production-ready outcomes across the full lifecycle from problem framing to deployment.

The role emphasizes scalable data pipelines, MLOps/LLMOps, and collaboration with business and technical teams to ensure value, reliability, and governance of deployed systems.

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