AI/ML Computational Scientist - GenAI & MLOps

Accenture UK & Ireland; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

Accenture UK & Ireland is seeking an AI/ML Computational Scientist to design, build, and operationalize enterprise AI solutions. You will blend custom models with cloud AI services, creating scalable data, DevOps & MLOps pipelines for training and production.

You will work across the full solution lifecycle, assess client needs, select and customize models, and ensure quality, value, and reliability in deployed systems for enterprise clients.

Qualifications

• Proven experience deploying ML models in production at scale.
• Experience with distributed computing, big data, or HPC environments.
• Skills in building AI/ML software for cloud environments.
• Strong programming foundation in CS concepts and systems

Responsibilities

• Formulate real-world problems into practical, efficient, and scalable AI/ML solutions.
• Develop and implement machine learning algorithms and scalable data pipelines with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for business use cases across platforms.
• Engage in R&D of new AI and HPC algorithms and simulations for client projects.
• Work with large-scale datasets and apply data preprocessing for training/production.
• Implement and maintain data storage and retrieval for models and knowledge.
• Justify the value of model approaches in business terms.
• Collaborate with business and technical teams to deliver end-to-end production solutions.

Skills

Python

Cloud computing

MLOps

DevOps

Distributed computing

Education

Bachelor's degree or equivalent

Tools

TensorFlow

PyTorch

LLM APIs

Job description

Accenture UK & Ireland is seeking an AI/ML Computational Scientist to design, build, and operationalize enterprise AI solutions. You will blend custom models with cloud AI services, creating scalable data, DevOps & MLOps pipelines for training and production.

You will work across the full solution lifecycle, assess client needs, select and customize models, and ensure quality, value, and reliability in deployed systems for enterprise clients.