AI Engineer: Build Scalable ML & GenAI Solutions

Accenture PLC; Greater London; On-site; GBP 80,000 - 110,000; Full time

Job summary

Accenture PLC in London seeks an AI Engineer to design, build, and operationalize AI/ML solutions for enterprise clients, spanning model selection, data prep, and DevOps/MLOps pipelines.

You will tailor deep learning, generative AI, and LLM-based solutions to client needs, work with large datasets, and ensure production-ready outcomes.

The role emphasizes collaboration with business and technical teams, delivering end-to-end projects with high reliability and business value.

Qualifications

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

Responsibilities

• Formulate real-world problems into scalable AI and ML solutions.
• Develop models and data pipelines for training and production with DevOps/MLOps.
• Customize Deep Learning and Gen AI models for various use cases.
• Engage in R&D of new AI algorithms and simulations for client applications.
• Work with large-scale datasets and preprocessing techniques for high-quality inputs.
• Implement and maintain data storage/retrieval for models and knowledge.
• Justify the value of model approaches in business terms.
• Collaborate with cross-functional teams to achieve end-to-end project goals.

Skills

Machine learning

Deep Learning

Generative AI

Python

CS fundamentals

Education

Bachelor's degree or equivalent

Tools

TensorFlow

PyTorch

LLMs APIs

Job description

Accenture PLC in London seeks an AI Engineer to design, build, and operationalize AI/ML solutions for enterprise clients, spanning model selection, data prep, and DevOps/MLOps pipelines.

You will tailor deep learning, generative AI, and LLM-based solutions to client needs, work with large datasets, and ensure production-ready outcomes.

The role emphasizes collaboration with business and technical teams, delivering end-to-end projects with high reliability and business value.