Enterprise AI Engineer: Gen AI & MLOps

Accenture PLC; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Accenture is seeking an AI Engineer to design, build and operationalize AI/ML solutions for enterprise clients in London. You will combine custom models with cloud AI services to deliver production-ready outcomes across the full solution lifecycle.

The role involves applying Deep Learning and Generative AI, building scalable data and DevOps/MLOps pipelines, and ensuring model reliability and business value for client engagements.

Qualifications

• Significant experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing.
• Experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks.
• Some experience in building and deploying AI/ML based software to a cloud environment.
• Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience with language models using LLM APIs and optimizing their usage for specific applications.

Responsibilities

• Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.
• Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps.
• Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC.
• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites.
• Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production.
• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools.
• Justify the value of model approaches in business problems.
• Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production.

Skills

Machine learning

Deep learning

ML deployment

Python

Cloud computing

Data pipelines

Education

Bachelor's Degree or equivalent

MS or PhD preferred

Tools

TensorFlow

PyTorch

LLM APIs

SQL

Job description

Accenture is seeking an AI Engineer to design, build and operationalize AI/ML solutions for enterprise clients in London. You will combine custom models with cloud AI services to deliver production-ready outcomes across the full solution lifecycle.

The role involves applying Deep Learning and Generative AI, building scalable data and DevOps/MLOps pipelines, and ensuring model reliability and business value for client engagements.