AI Engineer — Scalable ML & Production Systems

Accenture UK & Ireland; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Accenture UK & Ireland is seeking an AI Engineer in London to design, build, and operate AI/ML solutions for enterprise clients. You will work on model selection, deployment, and scalable data pipelines across DevOps and MLOps, ensuring production-ready outcomes.

The role requires delivering end-to-end AI projects, collaborating with business and technical teams, and communicating complex concepts clearly. Bachelor-level education is expected with strong ML and cloud experience.

Qualifications

• Significant experience deploying ML models in production at scale.
• Strong foundations in CS concepts, architecture and programming.
• Experience with distributed and cloud computing environments.
• Experience shipping AI/ML software to a cloud environment.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop ML models and data pipelines for training and production with DevOps/MLOps.
• Customize DL/Gen AI models for business needs and edge/HPC use cases.
• Engage in R&D of new AI algorithms and simulations for clients.
• Work with large-scale datasets and preprocessing for high-quality input.
• Implement data storage/retrieval for models and knowledge.
• Justify model approaches to clients and stakeholders.
• Collaborate with cross-functional teams to deliver end-to-end solutions.

Skills

Machine learning experience

Distributed computing

Problem solving

Education

Bachelor's Degree

Tools

Python

C++

Java

R

SQL

TensorFlow

PyTorch

Job description

Accenture UK & Ireland is seeking an AI Engineer in London to design, build, and operate AI/ML solutions for enterprise clients. You will work on model selection, deployment, and scalable data pipelines across DevOps and MLOps, ensuring production-ready outcomes.

The role requires delivering end-to-end AI projects, collaborating with business and technical teams, and communicating complex concepts clearly. Bachelor-level education is expected with strong ML and cloud experience.