Enterprise AI/ML Solutions Leader

Accenture UK & Ireland; City of Edinburgh; On-site; GBP 65,000 - 95,000; Full time

Job summary

Accenture UK & Ireland seeks an AI/ML Computational Scientist to design, build and deploy enterprise AI/ML solutions. You will combine custom models with cloud services to deliver production-ready outcomes, spanning data assessment, model customization (DL, Gen AI, LLMs), scalable MLOps pipelines, and reliable deployment across client environments.

The role emphasizes solving real business problems with scalable data systems, model deployment, and collaboration across business and technical

Qualifications

• Proven experience as a machine learning engineer or scientist, deploying models in production at scale including monitoring and auditing.
• Strong foundations in computer science, architecture, systems engineering, and programming.
• Experience with distributed computing systems and cloud/ HPC environments.
• Experience building and deploying AI/ML software to a cloud environment.

Responsibilities

• Formulate real-world problems into practical, scalable AI/ML solutions.
• Develop and implement ML algorithms, models, and data pipelines for training and production with DevOps & MLOps.
• Customize and apply Deep Learning and Gen AI models for various use cases.
• Engage in research and development of new AI and HPC algorithms and simulations.
• Work with large-scale datasets and data preprocessing for high-quality training input.
• Implement and maintain efficient data storage and retrieval for models and knowledge.
• Justify the value of model approaches in business problems.
• Collaborate with business and technical teams to achieve end-to-end production goals.

Skills

Python

ML engineering

Distributed computing

Communication skills

Big data

Education

Bachelor's degree

MS/PhD preferred

Tools

TensorFlow

PyTorch

Job description

Accenture UK & Ireland seeks an AI/ML Computational Scientist to design, build and deploy enterprise AI/ML solutions. You will combine custom models with cloud services to deliver production-ready outcomes, spanning data assessment, model customization (DL, Gen AI, LLMs), scalable MLOps pipelines, and reliable deployment across client environments.

The role emphasizes solving real business problems with scalable data systems, model deployment, and collaboration across business and technical