Enterprise AI/ML Solutions Architect

Accenture UK & Ireland; Greater London; On-site; GBP 85,000 - 120,000; Full time

Job summary

Accenture UK & Ireland seeks an 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, spanning model selection, scalable data pipelines, and end-to-end deployment.

The role requires hands-on experience with distributed computing, cloud deployments, and strong communication across business and technical teams.

Qualifications

• Proven experience deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing.
• Experience in distributed computing systems and architecture (big data, HPC, grid and cloud computing).
• Experience building and deploying AI/ML based software to a cloud environment.

Responsibilities

• Formulate real-world problems into practical, scalable AI/ML solutions.
• Develop and implement machine learning algorithms and scalable data pipelines for training and production with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for business needs based on data availability and infrastructure.
• Engage in R&D of new AI and HPC algorithms and apply them to client problems.
• Work with large-scale datasets and use data preprocessing for high-quality training inputs.
• Implement and maintain efficient data storage and retrieval for models and knowledge.
• Justify model approaches in business contexts.
• Collaborate with business and technical teams to achieve end-to-end production goals.

Skills

Python

Python-based AI/ML frameworks

TensorFlow

PyTorch

Distributed computing

Cloud computing

DevOps

MLOps

Education

Bachelor's Degree or equivalent

MS or PhD in related field preferred

Tools

LLM APIs

Cloud environments

Job description

Accenture UK & Ireland seeks an 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, spanning model selection, scalable data pipelines, and end-to-end deployment.

The role requires hands-on experience with distributed computing, cloud deployments, and strong communication across business and technical teams.