Senior AI/ML Architect: Production-Scale Solutions

Accenture UK & Ireland

Birmingham

On-site

GBP 120,000 - 180,000

Full time

45 hours ago
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Job summary

Accenture UK & Ireland seeks a Senior AI/ML Computational Scientist to design, build and operationalize AI and machine learning solutions for enterprise clients. You will blend custom models with cloud services to deliver production-ready outcomes.

You will work across the full cycle from problem framing to deployment, building scalable data pipelines (DevOps & MLOps) and applying Deep Learning, Gen AI, and large language models to real business challenges.

Qualifications

  • Significant experience deploying ML models in production at scale.
  • Strong CS foundations including architecture, systems, and programming.
  • Experience with distributed computing, big data, HPC, and cloud computing.
  • Experience building and deploying AI/ML software to a cloud environment.

Responsibilities

  • Formulate real-world problems into practical, scalable AI/ML solutions.
  • Develop and implement ML algorithms, models, and 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 research and development of AI and HPC algorithms and simulations for client sites.
  • Work with large-scale datasets and apply data preprocessing for high-quality training inputs.
  • Implement and maintain efficient data storage and retrieval for models and knowledge.
  • Justify model approaches in business terms.
  • Collaborate with business and technical teams to achieve end-to-end project goals.

Skills

ML deployment
Cloud computing
DevOps
Cross-functional comms

Education

Bachelor's Degree or equivalent

Tools

Python
C++
Java
R
SQL
TensorFlow
PyTorch
LLM APIs

Job description

Accenture UK & Ireland seeks a Senior AI/ML Computational Scientist to design, build and operationalize AI and machine learning solutions for enterprise clients. You will blend custom models with cloud services to deliver production-ready outcomes.

You will work across the full cycle from problem framing to deployment, building scalable data pipelines (DevOps & MLOps) and applying Deep Learning, Gen AI, and large language models to real business challenges.

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