Senior AI/ML Solutions Architect (GenAI & MLOps)

Accenture UK & Ireland; Newcastle upon Tyne; On-site; GBP 90,000 - 130,000; Full time

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 and oversee the full solution lifecycle.

Responsibilities include formulating real‑world problems into scalable AI systems, developing pipelines with DevOps & MLOps, applying Deep Learning and Gen AI models, preprocessing data, and collaborating with business

Qualifications

• Significant experience in deploying ML models to production at scale with monitoring and auditing.
• Strong foundation in computer science concepts and distributed systems.
• Experience with large-scale data processing, cloud environments, and engineering simulations.
• Proven ability to translate business problems into AI/ML solutions and to communicate with stakeholders.

Responsibilities

• Formulate real-world problems into scalable AI and ML solutions.
• Develop and implement ML models and data pipelines to support training and production.
• Customize Deep Learning and Gen AI models for business use cases.
• Research and develop high-performance compute algorithms and simulations for clients.
• Work with large-scale datasets and preprocess data for model input.
• Maintain data storage and retrieval mechanisms for models and knowledge.
• Collaborate with business and technical teams to achieve end-to-end project goals.

Skills

Machine learning engineering

Production ML

Distributed computing

Cloud computing

MLOps

Data preprocessing

Python

Communication

Education

Bachelor's Degree or equivalent

Tools

TensorFlow

PyTorch

Python

C++

Java

R

SQL

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 and oversee the full solution lifecycle.

Responsibilities include formulating real‑world problems into scalable AI systems, developing pipelines with DevOps & MLOps, applying Deep Learning and Gen AI models, preprocessing data, and collaborating with business