AI/ML Solutions Lead for Enterprise & Gen AI

Accenture UK & Ireland

Newcastle upon Tyne

On-site

GBP 60,000 - 95,000

Full time

36 hours ago
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Job summary

Accenture UK & Ireland is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will blend custom models with cloud services to deliver production-ready outcomes across the full lifecycle.

You will work on Deep Learning, Generative AI, and LLMs, build scalable data pipelines, and implement MLOps/LLMOps to ensure quality, value, and reliability in production systems.

Qualifications

  • Proven experience in deploying ML models in production at scale with monitoring, alerting, and auditing.
  • Strong foundations in CS, systems engineering, and programming.
  • Experience with distributed computing, big data, HPC, or cloud computing.
  • Experience building and deploying AI/ML software to a cloud environment.

Responsibilities

  • Formulate real-world problems into scalable AI/ML solutions.
  • Develop and implement ML algorithms and scalable data pipelines for training and production with DevOps & MLOps.
  • Customize Deep Learning and Gen AI models for business needs, including edge devices and HPC.
  • Engage in R&D of AI algorithms and simulations for client use cases.
  • Work with large datasets and apply preprocessing for high-quality training data.
  • Maintain data storage and retrieval for models and knowledge assets.
  • Demonstrate value of AI approaches in business contexts.
  • Collaborate with business and technical teams to deliver end-to-end solutions.

Skills

Python programming
ML model development
Cloud & MLOps concepts
Strong communication
Consulting mindset
Edge/HPC knowledge

Education

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

Tools

TensorFlow
PyTorch
LLM APIs
Python AI/ML libraries

Job description

Accenture UK & Ireland is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will blend custom models with cloud services to deliver production-ready outcomes across the full lifecycle.

You will work on Deep Learning, Generative AI, and LLMs, build scalable data pipelines, and implement MLOps/LLMOps to ensure quality, value, and reliability in production systems.

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