AI/ML Engineer — Production-Ready Solutions (London)

Accenture UK

Greater London

On-site

GBP 90,000 - 120,000

Full time

3 days ago
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Job summary

Accenture is seeking an AI/ML Computational Scientist in London to design, build and operationalize enterprise AI/ML solutions. You will work on custom models, cloud services, and DevOps/MLOps pipelines, spanning data assessment, model selection, and production deployment.

You will apply Deep Learning, Gen AI, and LLMs to client needs, building scalable data pipelines and collaborating with cross-functional teams to deliver reliable, value-driven outcomes.

Qualifications

  • Significant experience as a machine learning engineer or scientist, deploying models in production at scale.
  • Experience in distributed computing systems and architecture, including big data and cloud computing.
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
  • Experience with language models and LLM APIs.
  • Programming languages: Python, C++, Java, R, SQL.
  • Strong communication and cross-functional collaboration.
  • MS or PhD in related field preferred.

Responsibilities

  • Formulate real-world problems into scalable AI/ML solutions.
  • Develop and implement ML models and data pipelines for training and production.
  • Customize Deep Learning and Gen AI models for various use cases.
  • Engage in R&D of new AI and high-performance compute algorithms.
  • Work with large-scale datasets and data preprocessing for high quality input.
  • Implement and maintain data storage and retrieval for models and knowledge.
  • Collaborate with business and technical teams to deliver end-to-end projects.

Skills

Python
LLM APIs
Machine Learning

Education

Bachelor's Degree or equivalent
MS or PhD in related field preferred

Tools

TensorFlow
PyTorch

Job description

Accenture is seeking an AI/ML Computational Scientist in London to design, build and operationalize enterprise AI/ML solutions. You will work on custom models, cloud services, and DevOps/MLOps pipelines, spanning data assessment, model selection, and production deployment.

You will apply Deep Learning, Gen AI, and LLMs to client needs, building scalable data pipelines and collaborating with cross-functional teams to deliver reliable, value-driven outcomes.

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